教學 (Teaching): [課程投影片下載 (Slides Download)]

• 生成式AI創新應用 (Generative AI Innovative Applications) (MBA, IM, NTPU) (Spring 2026)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6031) [Full English Course]
  (1142) (國立臺北大學資管所碩士班) (智慧醫療管理英語碩士學位學程) (英語授課商學碩士學分學程) (財務金融碩士學分學程) (金融科技與量化金融學士學分學程) (選修3學分) [EMI 全英語授課] (2026.02 - 2026.06)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 智慧金融量化分析 (AI in Finance and Quantitative Analysis) (MBA, IM, NTPU) (Spring 2026)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5147) [Full English Course]
  (1142) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (英語商學碩士學程) (財務金融碩士學程) (金融科技與量化金融學士學分學程) (投資管理碩士微學程) (金融科技與量化金融學士微學程) (選修3學分) [EMI 全英語授課] (2026.02 - 2026.06)
  (週二 Tue, 5, 6, 7, 13:10-16:00)(臺北大學三峽校區 商3F17)
  
• 軟體工程 (Software Engineering) (MBA, IM, NTPU) (Spring 2026)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5010) [Full English Course]
  (1142) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2026.02 - 2026.06)
  (週三 Wed, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 企業倫理與永續發展 (Business Ethics and Sustainable Development) (Spring 2026)
  (1 Credits, Elective) (P1008)
  (1132) (國際財務金融碩士在職專班1年級, 統計學系碩士在職專班1年級, 職涯探索及創新創業學士學分學程, 職涯探索及創新創業學士微學程) (任課教師：陳宥杉，戴敏育) (2026.02 - 2026.06)
  (週二 Tue, 10, 18:30-19:20)(臺北大學民生校區 815)
  

• Generative AI Innovative Applications (MBA, IM, NTPU) (Spring 2026)
  (MBA, IM, NTPU) (Global MBA in Finance) (English-Taught Master's Program in Business Administration) (Bachelor's Program in Financial Technology and Quantitative Finance) (The Master Program in Smart Healthcare Management; SHM)
  (3 Credits, Elective) (M6031)
  (1142) [EMI] [Full English Course] (2026.02 - 2026.06)
  (Tue, 2, 3, 4, 9:10-12:00)(B3F17)
  
• Week   Date   Subject/Topics
  1 2026/02/24 Introduction to Generative AI Innovative Applications
  2 2026/03/03 Transformers for Natural Language Processing and Computer Vision; Large Language Models (LLMs)
  3 2026/03/10 NVIDIA Building RAG Agents with LLMs Part I
  4 2026/03/17 Case Study on Generative AI Innovative Applications I
  5 2026/03/24 NVIDIA Building RAG Agents with LLMs Part II
  6 2026/03/31 NVIDIA Building RAG Agents with LLMs Part III
  7 2026/04/07 Make-up holiday for NTPU Sports Day (No Classes)
  8 2026/04/14 Midterm Project Report
  9 2026/04/21 Generative AI for Multimodal Information Generation
  10 2026/04/28 NVIDIA Generative AI with Diffusion Models Part I
  11 2026/05/05 NVIDIA Generative AI with Diffusion Models Part II
  12 2026/05/12 Case Study on Generative AI Innovative Applications II
  13 2026/05/19 NVIDIA Generative AI with Diffusion Models Part III
  14 2026/05/26 Agentic AI and Large Multimodal Agents (LMAs)
  15 2026/06/02 Final Project Report I
  16 2026/06/09 Final Project Report II
  

• AI in Finance and Quantitative Analysis (MBA, IM, NTPU) (Spring 2026)
  (MBA, IM, NTPU) (Global MBA in Finance) (English-Taught Master's Program in Business Administration) (Bachelor's Program in Financial Technology and Quantitative Finance)
  (3 Credits, Elective) (M5147)
  (1142) [EMI] [Full English Course] (2026.02 - 2026.06)
  (Tue, 5, 6, 7, 13:10-16:00)(B3F17)
  
• Week   Date   Subject/Topics
  1 2026/02/24 Introduction to Artificial Intelligence in Finance and Quantitative Analysis
  2 2026/03/03 AI in FinTech: Metaverse, Web3, DeFi, NFT, Generative AI and Agentic AI for Financial Innovation Applications
  3 2026/03/10 Investing Psychology and Behavioral Finance
  4 2026/03/17 Event Studies in Finance
  5 2026/03/24 Case Study on AI in Finance and Quantitative Analysis I
  6 2026/03/31 Finance Theory and Data-Driven Finance
  7 2026/04/07 Make-up holiday for NTPU Sports Day (No Classes)
  8 2026/04/14 Midterm Project Report
  9 2026/04/21 Financial Econometrics
  10 2026/04/28 AI-First Finance
  11 2026/05/05 Industry Practices of AI in Finance and Quantitative Analysis
  12 2026/05/12 Case Study on AI in Finance and Quantitative Analysis II
  13 2026/05/19 Deep Learning in Finance; Reinforcement Learning in Finance; Generative AI and Agentic AI in Finance
  14 2026/05/26 Algorithmic Trading; Risk Management; Trading Bot and Event-Based Backtesting
  15 2026/06/02 Final Project Report I
  16 2026/06/09 Final Project Report II
  

• Software Engineering (MBA, IM, NTPU) (Spring 2026)
  (MBA, IM, NTPU) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG)
  (3 Credits, Elective) (M5010)
  (1142) [EMI] [Full English Course] (2026.02 - 2026.06)
  (Wed, 2, 3, 4, 9:10-12:00)(B3F17)
  
• Week   Date   Subject/Topics
  1 2026/02/25 Introduction to Software Engineering
  2 2026/03/04 Software Products and Project Management: Software product management and prototyping with Generative AI and Agentic AI
  3 2026/03/11 Agile Software Engineering: Agile methods, Scrum, and Extreme Programming
  4 2026/03/18 Case Study on Software Engineering I
  5 2026/03/25 Features, Scenarios, and Stories
  6 2026/04/01 Software Architecture: Architectural design, System decomposition, and Distribution architecture
  7 2026/04/08 Cloud-Based Software: Virtualization and containers, Everything as a service, Software as a service
  8 2026/04/15 Midterm Project Report
  9 2026/04/22 Cloud Computing and Cloud Software Architecture
  10 2026/04/29 Microservices Architecture, RESTful services, Service deployment
  11 2026/05/06 Case Study on Software Engineering II
  12 2026/05/13 Security and Privacy; Reliable Programming; Testing: Functional testing, Test automation, Test-driven development, and Code reviews
  13 2026/05/20 Industry Practices of Software Engineering
  14 2026/05/27 DevOps and Code Management: Code management and DevOps automation
  15 2026/06/03 Final Project Report I
  16 2026/06/10 Final Project Report II
  

• 企業倫理與永續發展 (Business Ethics and Sustainable Development) (Spring 2026)
  (1 Credits, Elective) (P1008)
  (1142) (國際財務金融碩士在職專班1年級, 統計學系碩士在職專班1年級, 職涯探索及創新創業學士學分學程, 職涯探索及創新創業學士微學程) (任課教師：陳宥杉，戴敏育) (2026.02 - 2026.06)
  (週二 Tue, 10, 18:30-19:20)(臺北大學民生校區 815)
  
• Week   Date   Subject/Topics
  1 2026/02/24 課程介紹與企業倫理與永續發展議題（一）(每次上課3節課 19:00-22:00)
  2 2026/03/03 企業倫理與永續發展議題（二）(每次上課3節課 19:00-22:00)
  3 2026/03/10 專題演講(每次上課3節課 19:00-22:00)
  4 2026/03/17 企業倫理與永續發展議題（三）(每次上課3節課 19:00-22:00)
  5 2026/03/24 企業倫理與永續發展議題（四）(每次上課3節課 19:00-22:00)
  6 2026/03/31 期末報告 (每次上課3節課 19:00-22:00)
  

• 人工智慧 (Artificial Intelligence) (MBA, IM, NTPU) (Fall 2025)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5276) [Full English Course]
  (1141) (國立臺北大學資管所碩士班) (財務金融英語碩士學位學程) (英語授課商學碩士學分學程) (財務金融碩士學分學程) (金融科技與量化金融學士學分學程) (投資管理碩士微學程) (金融科技與量化金融學士微學程) (選修3學分) [EMI 全英語授課] (2025.09 - 2025.12)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 永續數據分析 (Sustainability and ESG Data Analytics) (MBA, IM, NTPU) (Fall 2025)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5265) [Full English Course]
  (1141) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (金融科技與量化金融學士學分學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2025.09 - 2025.12)
  (週三 Wed, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 資訊技術書報討論 (Seminar in Information Technology) (MBA, IM, NTPU) (Fall 2025)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5253)
  (1141) (國立臺北大學資管所碩士班) (資訊系統管理領域) (必修3學分) (授課教師：溫演福，戴敏育，黃懷陞) (2025.09 - 2025.12)
  (週二 Tue, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商8F40)
  
• Python會計應用 (Python for Accounting Applications) (ACC2, NTPU) (Fall 2025)
  (ACC2, NTPU) (3 Credits, Elective) (U2004) [Full English Course]
  (1141) (國立臺北大學會計學系2A, 2B) (選修3學分) [EMI 全英語授課] (2025.09 - 2025.12)
  (週三 Wed, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商3F10)
  
• 媒體資訊管理 (Media Information Management) (EMF2, NTPU) (Fall 2025)
  (EMF2, NTPU) (3 Credits, Elective) (P1008)
  (1141) (國立臺北大學財務金融碩士在職專班2年級) (選修3學分) (任課教師：胡婉玲，戴敏育) (2025.09 - 2025.12)
  (週六 Sat, 5, 6, 7, 13:10-16:00)(臺北大學民生校區 教學大樓815教室)
  

• Artificial Intelligence (MBA, IM, NTPU) (Fall 2025)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5276) [Full English Course]
  (MBA, IM, NTPU) (Global MBA in Finance) (English-Taught Master's Program in Business Administration) (Bachelor's Program in Financial Technology and Quantitative Finance) (Master’s Credit Program in Finance) (Master’s Micro-Program in Investment Management) (Bachelor’s Micro-Program in Financial Technology and Quantitative Finance) (1141) [EMI] [Full English Course] (2025.09 - 2025.12)
  (Tue, 2, 3, 4, 9:10-12:00)(B3F17)[New Classroom: B1F05]
  
• [Artificial Intelligence] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/paj-zhhj-mya
  Time: 9:10-12:00, Tuesday (September 9, 2025 - December 23, 2025)
• Week   Date   Subject/Topics
  1 2025/09/09 Introduction to Artificial Intelligence [ppt] [pdf]
  2 2025/09/16 Artificial Intelligence and Intelligent Agents; Problem Solving [ppt] [pdf]
  3 2025/09/23 Knowledge, Reasoning and Knowledge Representation; Uncertain Knowledge and Reasoning [ppt] [pdf]
  4 2025/09/30 Case Study on Artificial Intelligence I
  5 2025/10/07 Machine Learning: Supervised and Unsupervised Learning; The Theory of Learning and Ensemble Learning [ppt] [pdf]
  6 2025/10/14 NVIDIA Fundamentals of Deep Learning I: Deep Learning; Neural Networks [ppt] [pdf]
  7 2025/10/21 NVIDIA Fundamentals of Deep Learning II: Convolutional Neural Networks; Data Augmentation and Deployment [ppt] [pdf]
  8 2025/10/28 Self-Learning
  9 2025/11/04 Midterm Project Report
  10 2025/11/11 NVIDIA Fundamentals of Deep Learning III: Pre-trained Models; Natural Language Processing [ppt] [pdf]
  11 2025/11/18 Case Study on Artificial Intelligence II
  12 2025/11/25 Computer Vision and Robotics [ppt] [pdf]
  13 2025/12/02 Generative AI, Agentic AI, and Physical AI [ppt] [pdf]
  14 2025/12/09 Philosophy and Ethics of AI and the Future of AI [ppt] [pdf]
  15 2025/12/16 Final Project Report I
  16 2025/12/23 Final Project Report II
  

• Sustainability and ESG Data Analytics (MBA, IM, NTPU) (Fall 2025)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5276) [Full English Course]
  (MBA, IM, NTPU) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG) (English-Taught Master's Program in Finance) (Bachelor's Program in Financial Technology and Quantitative Finance) (1141) [EMI] [Full English Course] (2025.09 - 2025.12)
  (Wed, 2, 3, 4, 9:10-12:00)(B3F17)[New Classroom: B8F40]
  
• [Sustainability and ESG Data Analytics] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/miy-fbif-max
  Time: 9:10-12:00, Wednesday (September 10, 2025 - December 24, 2025)
• Week   Date   Subject/Topics
  1 2025/09/10 Introduction Sustainability and ESG Data Analytics [ppt] [pdf]
  2 2025/09/17 Environmental, Social, and Governance (ESG) in Net-Zero Digital Transformation [ppt] [pdf]
  3 2025/09/24 Data Science for Sustainability and ESG [ppt] [pdf]
  4 2025/10/01 Case Study on Sustainability and ESG Data Analytics I
  5 2025/10/08 Web 3.0 and Big Data Analysis in Fintech, Green and Sustainable Finance [ppt] [pdf]
  6 2025/10/15 ESG Data Gathering, Analysis, and Visualization [ppt] [pdf]
  7 2025/10/22 NVIDIA Building RAG Agents with LLMs Part I: LLM Services and AI Foundation Models [ppt] [pdf]
  8 2025/10/29 Self-Learning
  9 2025/11/05 Midterm Project Report
  10 2025/11/12 NVIDIA Building RAG Agents with LLMs Part II: Document Loading, Chunking, and Embeddings [ppt] [pdf]
  11 2025/11/19 NVIDIA Building RAG Agents with LLMs Part III: Retrieval-Augmented Generation with Vector Stores and RAG Evaluation [ppt] [pdf]
  12 2025/11/26 Case Study on Sustainability and ESG Data Analytics II
  13 2025/12/03 Artificial Intelligence of things (AIoT) in ESG and Sustainability Applications [ppt] [pdf]
  14 2025/12/10 Generative AI for ESG Rating and Reporting Generation [ppt] [pdf]
  15 2025/12/17 Final Project Report I
  16 2025/12/24 Final Project Report II
  

• 資訊技術書報討論 (Seminar in Information Technology) (MBA, IM, NTPU) (Fall 2025)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5253)
  (1141) (國立臺北大學資管所碩士班) (資訊系統管理領域) (必修3學分) (授課教師：溫演福，戴敏育，黃懷陞) (2025.09 - 2025.12)
  (週二 Tue, 5, 6, 7, 13:10-16:00)(臺北大學三峽校區 商8F40)
  
• Week   Date   Subject/Topics
  1 2025/09/09 Introduction
  2 2025/09/16 Selecting research topics and referred papers
  3 2025/09/23 Selecting research topics and referred papers
  4 2025/09/30 Presenting and discussing research idea
  5 2025/10/07 Presenting and discussing research idea
  6 2025/10/14 Presenting and discussing research idea
  7 2025/10/21 Presenting and discussing research idea
  8 2025/10/28 Refining research idea and approaches
  9 2025/11/04 Refining research idea and approaches
  10 2025/11/11 Refining research idea and approaches
  11 2025/11/18 Refining research idea and approaches
  12 2025/11/25 Developing research proposal
  13 2025/12/02 Developing research proposal
  14 2025/12/09 Developing research proposal
  15 2025/12/16 Developing research proposal
  16 2025/12/23 Term paper due
  

• Python for Accounting Applications (ACC2, NTPU) (Fall 2025)
  (ACC2, NTPU) (3 Credits, Elective) (U2004)
  (1121) [EMI] [Full English Course] (2025.09 - 2025.12)
  (Wed, 6, 7, 8, 14:10-17:00)(B3F10)
  
• [Python for Accounting Applications] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/ofh-iosa-ehd
  Time: 9:10-12:00, Wednesday (September 10, 2025 - December 24, 2025)
• Week   Date   Subject/Topics
  1 2025/09/10 Introduction to Python for Accounting Applications [ppt] [pdf]
  2 2025/09/17 Python Programming and Data Science [ppt] [pdf]
  3 2025/09/24 Foundations of Python Programming [ppt] [pdf]
  4 2025/10/01 Data Structures [ppt] [pdf]
  5 2025/10/08 Control Logic and Loops [ppt] [pdf]
  6 2025/10/15 Functions and Modules; Files and Exception Handling [ppt] [pdf]
  7 2025/10/22 Data Analytics and Visualization with Python [ppt] [pdf]
  8 2025/10/29 Self-Learning
  9 2025/11/05 Midterm Project Report
  10 2025/11/12 Obtaining Data From the Web with Python [ppt] [pdf]
  11 2025/11/19 Statistical Analysis with Python [ppt] [pdf]
  12 2025/11/26 Machine Learning with Python [ppt] [pdf]
  13 2025/12/03 Text Analytics with Generative AI and Python [ppt] [pdf]
  14 2025/12/10 Applications of Accounting Data Analytics with Python [ppt] [pdf]
  15 2025/12/17 Applications of ESG Data Analytics with Python [ppt] [pdf]
  16 2025/12/24 Final Project Report
  

• 媒體資訊管理 (Media Information Management) (EMF2, NTPU) (Fall 2025)
  (EMF2, NTPU) (3 Credits, Elective) (P1008)
  (1141) (國立臺北大學財務金融碩士在職專班2年級) (選修3學分) (任課教師：胡婉玲，戴敏育) (2025.09 - 2025.12)
  (週六 Sat, 5, 6, 7, 13:10-16:00)(臺北大學民生校區 教學大樓815教室)
  
• Week   Date   Subject/Topics
  1 2025/09/13 一、學期課程總介紹； 二、傳播基本原理； 三、人類傳播進程
  2 2025/09/20 一、台灣數位內容使用現況； 二、市場調查的意義
  3 2025/09/27 數位世代台灣著作權規範導讀
  4 2025/10/04 影像內容置入行銷(product placement)理論/製作/效果
  5 2025/10/11 一、圖文新聞寫作與影音新聞製作練習； 二、影音新聞主播角色； 三、AI在媒體上的運用
  6 2025/10/18 (2025/10/17下午) 參訪中央社 13:30~16:30 地點: 台北市松江路209號
  7 2025/10/25 臺灣光復節 學生放假
  8 2025/11/01 一、 新聞通告； 二、 公司簡介宣傳； 三、 危機處理、公關需求
  9 2025/11/08 AI驅動的媒體生態數位轉型 [ppt] [pdf]
  10 2025/11/15 資訊管理與媒體決策：從數據到洞察AI驅動的媒體生態數位轉型 [ppt] [pdf]
  11 2025/11/22 推薦系統與個人化經濟 [ppt] [pdf]
  12 2025/11/29 媒體資訊管理個案報告 (小組報告)
  13 2025/12/06 生成式AI與媒體內容創新 [ppt] [pdf]
  14 2025/12/13 Agentic AI 與媒體智慧代理人 (AI Agents) [ppt] [pdf]
  15 2025/12/20 檢索增強生成代理人於媒體資訊管理 [ppt] [pdf]
  16 2025/12/27 期末作品展示
  

• 生成式AI創新應用 (Generative AI Innovative Applications) (MBA, IM, NTPU) (Spring 2025)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6031) [Full English Course]
  (1132) (國立臺北大學資管所碩士班) (智慧醫療管理英語碩士學位學程) (英語授課商學碩士學分學程) (財務金融碩士學分學程) (金融科技與量化金融學士學分學程) (選修3學分) [EMI 全英語授課] (2025.02 - 2025.06)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 智慧金融量化分析 (AI in Finance and Quantitative Analysis) (MBA, IM, NTPU) (Spring 2025)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5147) [Full English Course]
  (1132) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (英語商學碩士學程) (財務金融碩士學程) (金融科技與量化金融學士學分學程) (投資管理碩士微學程) (金融科技與量化金融學士微學程) (選修3學分) [EMI 全英語授課] (2025.02 - 2025.06)
  (週二 Tue, 5, 6, 7, 13:10-16:00)(臺北大學三峽校區 商3F17)
  
• 軟體工程 (Software Engineering) (MBA, IM, NTPU) (Spring 2025)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5010) [Full English Course]
  (1132) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2025.02 - 2025.06)
  (週三 Wed, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 企業倫理與永續發展 (Business Ethics and Sustainable Development) (Spring 2025)
  (1 Credits, Elective) (P1008)
  (1132) (國際財務金融碩士在職專班1年級, 統計學系碩士在職專班1年級, 職涯探索及創新創業學士學分學程, 職涯探索及創新創業學士微學程) (任課教師：陳宥杉，戴敏育) (2025.02 - 2025.06)
  (週二 Tue, 10, 18:30-19:20)(臺北大學民生校區 815)
  
• 生成式AI：文字與圖像生成的原理與實務 (Generative AI: Text and Image Synthesis Principles and Practice) (Spring 2025)
  (3 Credits, Elective) (U3193)(M5260)
  (1132) (AI聯盟碩士班1) (AI聯盟3) [臺灣大專院校人工智慧學程聯盟(TAICA)，衛星課程 (NTPU 協同教師：戴敏育)，採非同步授課，NTPU 上課時間為每週四2-4節。主導：政大/蔡炎龍老師。(同步遠距上課時間：每週二 16:00-19:00) (AI自然語言技術學分學程)](2025.02 - 2025.06)
  (週四 Thu, 2, 3, 4, 9:10-12:00)(資B1F-01)
  

• Generative AI Innovative Applications (MBA, IM, NTPU) (Spring 2025)
  (MBA, IM, NTPU) (Global MBA in Finance) (English-Taught Master's Program in Business Administration) (Bachelor's Program in Financial Technology and Quantitative Finance) (The Master Program in Smart Healthcare Management; SHM)
  (3 Credits, Elective) (M6031)
  (1132) [EMI] [Full English Course] (2025.02 - 2025.06)
  (Tue, 2, 3, 4, 9:10-12:00)(B3F17)
  
• [Generative AI Innovative Applications] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/paj-zhhj-mya
  Time: 9:10-12:00, Tuesday (February 18, 2025 - June 3, 2025)
• Week   Date   Subject/Topics
  1 2025/02/18 Introduction to Generative AI Innovative Applications [ppt] [pdf]
  2 2025/02/25 Transformers for Natural Language Processing and Computer Vision [ppt] [pdf]
  3 2025/03/04 Large Language Models (LLMs), NVIDIA Building RAG Agents with LLMs Part I [ppt] [pdf]
  4 2025/03/11 Case Study on Generative AI Innovative Applications I
  5 2025/03/18 NVIDIA Building RAG Agents with LLMs Part II [ppt] [pdf]
  6 2025/03/25 NVIDIA Building RAG Agents with LLMs Part III [ppt] [pdf]
  7 2025/04/01 Self-Learning
  8 2025/04/08 Midterm Project Report
  9 2025/04/15 Generative AI for Multimodal Information Generation [ppt] [pdf]
  10 2025/04/22 NVIDIA Generative AI with Diffusion Models Part I [ppt] [pdf]
  11 2025/04/29 NVIDIA Generative AI with Diffusion Models Part II [ppt] [pdf]
  12 2025/05/06 Case Study on Generative AI Innovative Applications II
  13 2025/05/13 NVIDIA DLI and NVIDIA-Certified Associate (NCA) Generative AI LLMs Certification [Invited Speaker: Dr. Chi-Hung Tseng, Adjunct Assistant Professor, Department of Computer Science and Information Engineering, NTUST / NVIDIA Platinum Campus Ambassador]
  14 2025/05/20 NVIDIA Generative AI with Diffusion Models Part III, AI Agents and Large Multimodal Agents (LMAs) [ppt] [pdf]
  15 2025/05/27 Final Project Report I
  16 2025/06/03 Final Project Report II
  

• AI in Finance and Quantitative Analysis (MBA, IM, NTPU) (Spring 2025)
  (MBA, IM, NTPU) (Global MBA in Finance) (English-Taught Master's Program in Business Administration) (Bachelor's Program in Financial Technology and Quantitative Finance)
  (3 Credits, Elective) (M5147)
  (1132) [EMI] [Full English Course] (2025.02 - 2025.06)
  (Tue, 5, 6, 7, 13:10-16:00)(B3F17)
  
• [AI in Finance and Quantitative Analysis] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/miy-fbif-max
  Time: 13:10-16:00, Tuesday (February 18, 2025 - June 3, 2025)
• Week   Date   Subject/Topics
  1 2025/02/18 Introduction to Artificial Intelligence in Finance and Quantitative Analysis [ppt] [pdf]
  2 2025/02/25 AI in FinTech: Metaverse, Web3, DeFi, NFT, Generative AI for Financial Innovation Applications [ppt] [pdf]
  3 2025/03/04 Investing Psychology and Behavioral Finance [ppt] [pdf]
  4 2025/03/11 Event Studies in Finance [ppt] [pdf]
  5 2025/03/18 Case Study on AI in Finance and Quantitative Analysis I
  6 2025/03/25 Finance Theory and Data-Driven Finance [ppt] [pdf]
  7 2025/04/01 Self-Study
  8 2025/04/08 Midterm Project Report
  9 2025/04/15 Financial Econometrics and Machine Learning [ppt] [pdf]
  10 2025/04/22 AI-First Finance [ppt] [pdf]
  11 2025/04/29 Deep Learning, Reinforcement Learning, and Generative AI in Finance [ppt] [pdf]
  12 2025/05/06 Case Study on AI in Finance and Quantitative Analysis II
  13 2025/05/13 Industry Practices of AI in Finance and Quantitative Analysis [Invited Talk: ETF Basics & Beyond: Embracing AI in Modern Fund Management, Invited Speaker: Jervis J.G. Li, Fund Manager, Yuanta SITC]
  14 2025/05/20 Algorithmic Trading; Risk Management; Trading Bot and Event-Based Backtesting [ppt] [pdf]
  15 2025/05/27 Final Project Report I
  16 2025/06/03 Final Project Report II
  

• Software Engineering (MBA, IM, NTPU) (Spring 2025)
  (MBA, IM, NTPU) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG)
  (3 Credits, Elective) (M5010)
  (1132) [EMI] [Full English Course] (2025.02 - 2025.06)
  (Wed, 2, 3, 4, 9:10-12:00)(B3F17)
  
• [Software Engineering] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/ish-gzmy-pmo
  Time: 9:10-12:00, Wednesday (February 19, 2025 - June 4, 2025)
• Week   Date   Subject/Topics
  1 2025/02/19 Introduction to Software Engineering [ppt] [pdf]
  2 2025/02/26 Software Products and Project Management: Software product management and prototyping with Generative AI [ppt] [pdf]
  3 2025/03/05 Agile Software Engineering: Agile methods, Scrum, and Extreme Programming [ppt] [pdf]
  4 2025/03/12 Case Study on Software Engineering I
  5 2025/03/19 Features, Scenarios, and Stories [ppt] [pdf]
  6 2025/03/26 Software Architecture: Architectural design, System decomposition, and Distribution architecture [ppt] [pdf]
  7 2025/04/02 Make-up holiday for NTPU Sports Day (No Classes)
  8 2025/04/09 Midterm Project Report
  9 2025/04/16 Cloud-Based Software: Virtualization and containers, Everything as a service, Software as a service [ppt] [pdf]
  10 2025/04/23 Cloud Computing and Cloud Software Architecture [ppt] [pdf]
  11 2025/04/30 Case Study on Software Engineering II
  12 2025/05/07 Microservices Architecture, RESTful services, Service deployment [ppt] [pdf]
  13 2025/05/14 Industry Practices of Software Engineering [Invited Talk: Agentic AI for Agile Software Development and Sustainable Digital Transformation, Invited Speaker: Shihyu (Alex) Chu, Industry Consultant / Section Manager, Software Industry Research Center, Market Intelligence & Consulting Institute (MIC)]
  14 2025/05/21 Security and Privacy; Reliable Programming; Testing: Functional testing, Test automation, Test-driven development, and Code reviews; DevOps and Code Management: Code management and DevOps automation [ppt] [pdf]
  15 2025/05/28 Final Project Report I
  16 2025/06/04 Final Project Report II
  

• 企業倫理與永續發展 (Business Ethics and Sustainable Development) (Spring 2025)
  (1 Credits, Elective) (P1008)
  (1132) (國際財務金融碩士在職專班1年級, 統計學系碩士在職專班1年級, 職涯探索及創新創業學士學分學程, 職涯探索及創新創業學士微學程) (任課教師：陳宥杉，戴敏育) (2025.02 - 2025.06)
  (週二 Tue, 10, 18:30-19:20)(臺北大學民生校區 815)
  
• Week   Date   Subject/Topics
  1 2025/02/18 課程介紹與企業倫理與永續發展議題（一）(每次上課3節課 19:00-22:00)
  2 2025/02/25 企業倫理與永續發展議題（二）(每次上課3節課 19:00-22:00)
  3 2025/03/04 專題演講(每次上課3節課 19:00-22:00)
  4 2025/03/11 企業倫理與永續發展議題（三）(每次上課3節課 19:00-22:00) [ppt] [pdf]
  5 2025/03/18 企業倫理與永續發展議題（四）(每次上課3節課 19:00-22:00)
  6 2025/03/25 期末報告 (每次上課3節課 19:00-22:00)
  

• 生成式AI：文字與圖像生成的原理與實務 (Generative AI: Text and Image Synthesis Principles and Practice) (Spring 2025)
  (3 Credits, Elective) (U3193)(M5260)
  (1132) (AI聯盟碩士班1) (AI聯盟3) [臺灣大專院校人工智慧學程聯盟(TAICA)，衛星課程 (NTPU 協同教師：戴敏育)，採非同步授課，本校上課時間為每週四2-4節。主導：政大/蔡炎龍老師。(同步遠距上課時間：每週二 16:00-19:00) (AI自然語言技術學分學程)](2025.02 - 2025.06)
  (週四 Thu, 2, 3, 4, 9:10-12:00)(資B1F-01)
  
• 臺灣大專院校人工智慧學程聯盟(TAICA)
  衛星課程 (NTPU 協同教師：戴敏育)，採非同步授課，NTPU 上課時間為每週四2-4節。
  主導：政大/蔡炎龍老師。(同步遠距上課時間：每週二 16:00-19:00)
  開設學校：政治大學
  開授教師：蔡炎龍
  開課級別：碩士課程 (政大學碩合開)
  授課語言：中文
  同步遠距上課時間：每週二 16:00-19:00
  課程將於 2025 年 2 月 18 日開始，每週二 16:10-19:00 進行直播
  16:10-18:10 課程講授
  18:10-19:00 實作時間
  遠距上課位置：
  Facebook【政大應數系直播中心】
  https://facebook.com/groups/nccumathonline/
  Youtube 課程直播區
  https://www.youtube.com/@ive-iveai
  

• 人工智慧 (Artificial Intelligence) (MBA, IM, NTPU) (Fall 2024)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5276) [Full English Course]
  (1131) (國立臺北大學資管所碩士班) (財務金融英語碩士學位學程) (英語授課商學碩士學分學程) (財務金融碩士學分學程) (金融科技與量化金融學士學分學程) (投資管理碩士微學程) (金融科技與量化金融學士微學程) (選修3學分) [EMI 全英語授課] (2024.09 - 2024.12)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 永續數據分析 (Sustainability and ESG Data Analytics) (MBA, IM, NTPU) (Fall 2024)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5265) [Full English Course]
  (1131) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (金融科技與量化金融學士學分學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2024.09 - 2024.12)
  (週三 Wed, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 資訊技術書報討論 (Seminar in Information Technology) (MBA, IM, NTPU) (Fall 2024)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5253)
  (1131) (國立臺北大學資管所碩士班) (資訊系統管理領域) (必修3學分) (授課教師：溫演福，戴敏育，黃懷陞) (2024.09 - 2024.12)
  (週二 Tue, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商8F40)
  
• Python會計應用 (Python for Accounting Applications) (ACC2, NTPU) (Fall 2024)
  (ACC2, NTPU) (3 Credits, Elective) (U2004) [Full English Course]
  (1131) (國立臺北大學會計學系2A, 2B) (選修3學分) [EMI 全英語授課] (2024.09 - 2024.12)
  (週三 Wed, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商3F10)
  

• Artificial Intelligence (MBA, IM, NTPU) (Fall 2024)
  (MBA, IM, NTPU) (Global MBA in Finance) (English-Taught Master's Program in Business Administration) (Bachelor's Program in Financial Technology and Quantitative Finance)
  (3 Credits, Elective) (M5276)
  (1131) [EMI] [Full English Course] (2024.09 - 2024.12)
  (Tue, 2, 3, 4, 9:10-12:00)(B3F17)
  
• [Artificial Intelligence] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/paj-zhhj-mya
  Time: 9:10-12:00, Tuesday (September 10, 2024 - December 24, 2024)
• Week   Date   Subject/Topics
  1 2024/09/10 Introduction to Artificial Intelligence [ppt] [pdf]
  2 2024/09/17 Mid-Autumn Festival (Day off)
  3 2024/09/24 Artificial Intelligence and Intelligent Agents; Problem Solving [ppt] [pdf]
  4 2024/10/01 Knowledge, Reasoning and Knowledge Representation; Uncertain Knowledge and Reasoning [ppt] [pdf]
  5 2024/10/08 Case Study on Artificial Intelligence I
  6 2024/10/15 Machine Learning: Supervised and Unsupervised Learning [ppt] [pdf]
  7 2024/10/22 The Theory of Learning and Ensemble Learning [ppt] [pdf]
  8 2024/10/29 Midterm Project Report
  9 2024/11/05 Self-Learning
  10 2024/11/12 Deep Learning and Reinforcement Learning [ppt] [pdf]
  11 2024/11/19 Case Study on Artificial Intelligence II
  12 2024/11/26 Deep Learning for Natural Language Processing [ppt] [pdf]
  13 2024/12/03 Computer Vision and Robotics [ppt] [pdf]
  14 2024/12/10 Generative AI, Philosophy and Ethics of AI and the Future of AI [ppt] [pdf]
  15 2024/12/17 Final Project Report I
  16 2024/12/24 Final Project Report II
  

• Sustainability and ESG Data Analytics (MBA, IM, NTPU) (Fall 2024)
  (MBA, IM, NTPU) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG)
  (3 Credits, Elective) (M5265)
  (1131) [EMI] [Full English Course] (2024.09 - 2024.12)
  (Wed, 2, 3, 4, 9:10-12:00)(B3F17)
  
• [Sustainability and ESG Data Analytics] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/miy-fbif-max
  Time: 9:10-12:00, Wednesday (September 11, 2024 - December 25, 2024)
• Week   Date   Subject/Topics
  1 2024/09/11 Introduction Sustainability and ESG Data Analytics [ppt] [pdf]
  2 2024/09/18 Environmental, Social, and Governance (ESG) in Net-Zero Digital Transformation [ppt] [pdf]
  3 2024/09/25 Data Science for Sustainability and ESG [ppt] [pdf]
  4 2024/10/02 (Class Canceled due to Typhoon)
  5 2024/10/09 (Self-Learning) Web 3.0 and Big Data Analysis in Fintech, Green and Sustainable Finance
  6 2024/10/16 Case Study on Sustainability and ESG Data Analytics I
  7 2024/10/23 (Self-Learning) Task Force on Climate-Related Financial Disclosures (TCFD) and En-Roads Interactive; ESG Data Gathering, Analysis, and Visualization
  8 2024/10/30 (Self-Learning)
  9 2024/11/06 Self-Learning
  10 2024/11/13 Midterm Project Report
  11 2024/11/20 ESG Data Reporting; Corporate Sustainability Reports; ESG Data Verification [ppt] [pdf]
  12 2024/11/27 Case Study on Sustainability and ESG Data Analytics II
  13 2024/12/04 Artificial Intelligence of things (AIoT) in ESG and Sustainability Applications [ppt] [pdf]
  14 2024/12/11 Generative AI for ESG Rating and Reporting Generation [ppt] [pdf]
  15 2024/12/18 Final Project Report I
  16 2024/12/25 Final Project Report II
  

• 資訊技術書報討論 (Seminar in Information Technology) (MBA, IM, NTPU) (Fall 2024)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5253)
  (1122) (國立臺北大學資管所碩士班) (資訊系統管理領域) (授課教師：溫演福，戴敏育，黃懷陞) (2024.09 - 2024.12)
  (週二 Tue, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商8F40)
  
• Week   Date   Subject/Topics
  1 2024/09/10 Introduction
  2 2024/09/17 Selecting research topics and referred papers
  3 2024/09/24 Selecting research topics and referred papers
  4 2024/10/01 Presenting and discussing research idea
  5 2024/10/08 Presenting and discussing research idea
  6 2024/10/15 Presenting and discussing research idea
  7 2024/10/22 Presenting and discussing research idea
  8 2024/10/29 Refining research idea and approaches
  9 2024/11/05 Refining research idea and approaches
  10 2024/11/12 Refining research idea and approaches
  11 2024/11/19 Refining research idea and approaches
  12 2024/11/26 Developing research proposal
  13 2024/12/03 Developing research proposal
  14 2024/12/10 Developing research proposal
  15 2024/12/17 Developing research proposal
  16 2024/12/24 Term paper due
  

• Python for Accounting Applications (ACC2, NTPU) (Fall 2024)
  (ACC2, NTPU) (3 Credits, Elective) (U2004)
  (1121) [EMI] [Full English Course] (2024.09 - 2024.12)
  (Wed, 6, 7, 8, 14:10-17:00)(B3F10)
  
• [Python for Accounting Applications] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/ofh-iosa-ehd
  Time: 9:10-12:00, Wednesday (September 11, 2024 - December 25, 2024)
• Week   Date   Subject/Topics
  1 2024/09/11 Introduction to Python for Accounting Applications [ppt] [pdf]
  2 2024/09/18 Python Programming and Data Science [ppt] [pdf]
  3 2024/09/25 Foundations of Python Programming [ppt] [pdf]
  4 2024/10/02 Data Structures (Class Canceled due to Typhoon)
  5 2024/10/09 Control Logic and Loops [ppt] [pdf]
  6 2024/10/16 Functions and Modules; Files and Exception Handling [ppt] [pdf]
  7 2024/10/23 Data Analytics and Visualization with Python [ppt] [pdf]
  8 2024/10/30 (Self-Learning)
  9 2024/11/06 Self-Learning
  10 2024/11/13 Midterm Project Report
  11 2024/11/20 Obtaining Data From the Web with Python; Statistical Analysis with Python [ppt] [pdf]
  12 2024/11/27 Machine Learning with Python [ppt] [pdf]
  13 2024/12/04 Text Analytics with Generative AI and Python [ppt] [pdf]
  14 2024/12/11 Applications of Accounting Data Analytics with Python [ppt] [pdf]
  15 2024/12/18 Applications of ESG Data Analytics with Python [ppt] [pdf]
  16 2024/12/25 Final Project Report
  

• 大數據分析 (Big Data Analytics) (MBA, IM, NTPU) (Spring 2024)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6031) [Full English Course]
  (1122) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2024.02 - 2024.06)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 軟體工程 (Software Engineering) (MBA, IM, NTPU) (Spring 2024)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5010) [Full English Course]
  (1122) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2024.02 - 2024.06)
  (週三 Wed, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 企業雲端運算入門 (Foundation of Business Cloud Computing) (BA4, NTPU) (Spring 2024)
  (AWS Academy Cloud Foundations; ACF) (AWS Certified Cloud Practitioner)
  (BA4, NTPU) (3 Credits, Elective) (U4010) (自主學習課程) (商業智慧與大數據分析學士學分學程)
  (1122) (國立臺北大學企管系4A, 4B) (選修3學分) (授課教師：謝榮桂，戴敏育) (2024.02 - 2024.06)
  (週三 Wed, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商3F10)
  
• 永續數據分析 (Sustainability and ESG Data Analytics) (DM4, NTPU) (Spring 2024)
  (DM4, NTPU) (3 Credits, Elective) (數位行銷進修學士學位學程)
  (1122) (國立臺北大學數位行銷進修學士學位學程4) (選修3學分) (2024.02 - 2024.06)
  (週五 Fri, 10, 11, 12, 18:30-21:15)(臺北大學民生校區 305)
  

• Big Data Analytics (MBA, IM, NTPU) (Spring 2024)
  (MBA, IM, NTPU) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG) (3 Credits, Elective) (M6031)
  (1122) [EMI] [Full English Course] (2024.02 - 2024.06)
  (Tue, 2, 3, 4, 9:10-12:00)(B3F17)
  
• [Big Data Analytics] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/paj-zhhj-mya
  Time: 9:10-12:00, Tuesday (February 20, 2024 - June 4, 2024)
• Week   Date   Subject/Topics
  1 2024/02/20 Introduction to Big Data Analysis [ppt] [pdf]
  2 2024/02/27 AI, Data Science and Big Data Analysis [ppt] [pdf]
  3 2024/03/05 Foundations of Big Data Analysis in Python [ppt] [pdf]
  4 2024/03/12 Case Study on Big Data Analysis I
  5 2024/03/19 Machine Learning: SAS Viya, Data Preparation and Algorithm Selection [Secured ppt] [Secured pdf]
  6 2024/03/26 Machine Learning: Decision Trees and Ensembles of Trees [Secured ppt] [Secured pdf]
  7 2024/04/02 Self-study
  8 2024/04/09 Midterm Project Report
  9 2024/04/16 Machine Learning: Neural Networks (NN) and Support Vector Machines (SVM) [Secured ppt] [Secured pdf]
  10 2024/04/23 Machine Learning: Model Assessment and Deployment [Secured ppt] [Secured pdf]
  11 2024/04/30 Case Study on Big Data Analysis II
  12 2024/05/07 Generative AI and Large Language Models (LLM) for Big Data Analysis [ppt] [pdf]
  13 2024/05/14 Deep Learning for ESG and Finance Big Data Analysis [ppt] [pdf]
  14 2024/05/21 Self-learning
  15 2024/05/28 Final Project Report I
  16 2024/06/04 Final Project Report II
  
  
  
  
• References:
  1. BDA2024 SASViya
  2. SAS Viya
  3. Create SAS Profile
  4. SAS Virtual Learning Environment
  5. Machine Learning Using SAS Viya 3.5
  7. SAS Certified Specialist: Machine Learning Using SAS Viya 3.5
  6. SAS Certification
  

• Software Engineering (MBA, IM, NTPU) (Spring 2024)
  (MBA, IM, NTPU) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG) (3 Credits, Elective) (M5010)
  (1122) [EMI] [Full English Course] (2024.02 - 2024.06)
  (Wed, 2, 3, 4, 9:10-12:00)(B3F17)
  
• [Software Engineering] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/ish-gzmy-pmo
  Time: 9:10-12:00, Wednesday (February 21, 2024 - June 5, 2024)
• Week   Date   Subject/Topics
  1 2024/02/21 Introduction to Software Engineering [ppt] [pdf]
  2 2024/02/28 Peace Memorial Day (Day Off)
  3 2024/03/06 Software Products and Project Management: Software product management and prototyping [ppt] [pdf]
  4 2024/03/13 Agile Software Engineering: Agile methods, Scrum, and Extreme Programming [ppt] [pdf]
  5 2024/03/20 Case Study on Software Engineering I
  6 2024/03/27 Features, Scenarios, and Stories [ppt] [pdf]
  7 2024/04/03 Make-up holiday for NTPU Sports Day (No Classes)
  8 2024/04/10 Midterm Project Report
  9 2024/04/17 Software Architecture: Architectural design, System decomposition, and Distribution architecture [ppt] [pdf]
  10 2024/04/24 Cloud-Based Software: Virtualization and containers, Everything as a service, Software as a service; Cloud Computing and Cloud Software Architecture [ppt] [pdf]
  11 2024/05/01 Case Study on Software Engineering II
  12 2024/05/08 Microservices Architecture: RESTful services, Service deployment [ppt] [pdf]
  13 2024/05/15 Security and Privacy; Reliable Programming; Testing: Functional testing, Test automation, Test-driven development, and Code reviews; DevOps and Code Management: Code management and DevOps automation [ppt] [pdf]
  14 2024/05/22 Industry Practices of Software Engineering [Invited Talk: Generative AI in Agile Software Development and Sustainable Digital Transformation, Invited Speaker: Shihyu (Alex) Chu, Industry Consultant / Section Manager, Software Industry Research Center, Market Intelligence & Consulting Institute (MIC)]
  15 2024/05/29 Final Project Report I
  16 2024/06/05 Final Project Report II
  

• 企業雲端運算入門 (Foundation of Business Cloud Computing) (BA4, NTPU) (Spring 2024)
  (AWS Academy Cloud Foundations; ACF) (AWS Certified Cloud Practitioner)
  (BA4, NTPU) (3 Credits, Elective) (U4010) (自主學習課程) (商業智慧與大數據分析學士學分學程)
  (1122) (國立臺北大學企管系4A, 4B) (選修3學分) (授課教師：謝榮桂，戴敏育) (2024.02 - 2024.06)
  (週三 Wed, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商3F10)
  
• [企業雲端運算入門] 實體授課同步遠距教學、自主學習。
  實體授課同步遠距教學 Google Meet：https://meet.google.com/ofh-iosa-ehd
  時間：週三 14:10-17:00
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2024/02/21 雲端概念概述 (Cloud Concepts Overview) [ppt] [pdf]
  2 2024/02/28 放假 (Day Off)
  3 2024/03/06 雲端經濟與計費 (Cloud Economics and Billing)
  4 2024/03/13 AWS全球基礎設施概述 (AWS Global Infrastructure Overview)
  5 2024/03/20 AWS雲端安全 (AWS Cloud Security)
  6 2024/03/27 網路和內容交付 (Networking and Content Delivery)
  7 2024/04/03 放假 (No Classes)
  8 2024/04/10 雲端計算 (Cloud Compute)
  9 2024/04/17 雲端儲存 (Cloud Storage)
  10 2024/04/24 雲端數據庫 (Cloud Databases)
  11 2024/05/01 雲端架構 (Cloud Architecture)
  12 2024/05/08 雲端自動擴展和監控 (Cloud Automatic Scaling and Monitoring)
  13 2024/05/15 學生自主學習 (Self-learning)
  14 2024/05/22 學生自主學習 (Self-learning)
  15 2024/05/29 雲端專案成果報告與討論 (Cloud Project Presentation and Discussion)
  16 2024/06/05 期末專案成果報告 (Final Project Presentation)
  
  
  
  
• References:
  1. AWS Academy (Application: ntpu aws app) (https://awsacademy.instructure.com/ , Vocareum Labs)
  2. AWS Educate
  3. AWS Free Tier
  4. AWS Training
  5. AWS Cloud Practitioner Essentials (Second Edition)
  6. AWS Certified Cloud Practitioner
  7. AWS Educate User Guide for Students
  8. AWS Academy Cloud Foundations (ACF): AWS_ACF_M01 ~ AWS_ACF_M10
  

• 永續數據分析 (Sustainability and ESG Data Analytics) (DM4, NTPU) (Spring 2024)
  (DM4, NTPU) (3 Credits, Elective) (N4084) (Digital Marketing)(數位行銷進修學士學位學程)
  (1122) (國立臺北大學數位行銷進修學士學位學程4) (選修3學分) (2024.02 - 2024.06)
  (週五 Fri, 10, 11, 12, 18:30-21:15)(臺北大學民生校區 305)
  
• [永續數據分析] 實體授課同步遠距教學
  實體授課同步遠距教學 Google Meet：https://meet.google.com/miy-fbif-max
  時間：週五 18:30-21:15
  
• Week   Date   Subject/Topics
  1 2024/02/23 永續數據分析概論 (Introduction Sustainability and ESG Data Analytics) [ppt] [pdf]
  2 2024/03/01 環境、社會與治理 (ESG) 淨零數位轉型 (Environmental, Social, and Governance (ESG) in Net-Zero Digital Transformation) [ppt] [pdf]
  3 2024/03/08 永續與 ESG 資料科學 (Data Science for Sustainability and ESG) [ppt] [pdf]
  4 2024/03/15 永續數據分析個案研究 I (Case Study on Sustainability and ESG Data Analytics I)
  5 2024/03/22 Web 3.0 和大數據分析在金融科技、綠色永續金融 (Web 3.0 and Big Data Analysis in Fintech, Green and Sustainable Finance) [ppt] [pdf]
  6 2024/03/29 TCFD 氣候相關財務揭露與En-ROADS 氣候變遷模擬(Task Force on Climate-Related Financial Disclosures (TCFD) and En-Roads Interactive) [ppt] [pdf]
  7 2024/04/05 放假 (No Classes)
  8 2024/04/12 期中報告 (Midterm Project Report)
  9 2024/04/19 ESG數據的收集、分析和視覺化 (ESG Data Gathering, Analysis, and Visualization) [ppt] [pdf]
  10 2024/04/26 ESG數據報告 (ESG Data Reporting); 企業永續報告書 (Corporate Sustainability Reports) [ppt] [pdf]
  11 2024/05/03 學生自主學習 (Self-learning)
  12 2024/05/10 永續數據分析個案研究 II (Case Study on Sustainability and ESG Data Analytics II)
  13 2024/05/17 永續數據分析實務 (Practices in Sustainability and ESG Data Analytics)
  14 2024/05/24 學生自主學習 (Self-learning)
  15 2024/05/31 期末報告 I (Final Project Report I)
  16 2024/06/07 期末報告 II (Final Project Report II)
  

• 智慧金融量化分析 (AI in Finance and Quantitative Analysis) (MBA, IM, NTPU) (Fall 2023)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5276) [Full English Course]
  (1121) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (英語商學碩士學程) (財務金融碩士學程) (金融科技與量化金融學士學分學程) (投資管理碩士微學程) (金融科技與量化金融學士微學程) (選修3學分) [EMI 全英語授課] (2023.09 - 2024.01)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• 人工智慧文本分析 (Artificial Intelligence for Text Analytics) (MBA, IM, NTPU) (Fall 2023)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5265) [Full English Course]
  (1121) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (金融科技與量化金融學士學分學程) (選修3學分) [EMI 全英語授課] (2023.09 - 2024.01)
  (週三 Wed, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商3F17)
  
• Python會計應用 (Python for Accounting Applications) (ACC2, NTPU) (Fall 2023)
  (ACC2, NTPU) (3 Credits, Elective) (U2004) [Full English Course]
  (1121) (國立臺北大學會計學系2A, 2B) (選修3學分) [EMI 全英語授課] (2023.09 - 2024.01)
  (週三 Wed, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商3F10)
  

• AI in Finance and Quantitative Analysis (MBA, IM, NTPU) (Fall 2023)
  (MBA, IM, NTPU) (Global MBA in Finance) (3 Credits, Elective) (M5276)
  (1121) [EMI] [Full English Course] (2023.09 - 2024.01)
  (Tue, 2, 3, 4, 9:10-12:00)(B3F17)
  
• * [AI in Finance and Quantitative Analysis] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/paj-zhhj-mya
  Time: 9:10-12:00, Tuesday (September 12, 2023 - January 2, 2024)
• Week   Date   Subject/Topics
  1 2023/09/12 Introduction to Artificial Intelligence in Finance and Quantitative Analysis [ppt] [pdf]
  2 2023/09/19 AI in FinTech: Metaverse, Web3, DeFi, NFT, Financial Services Innovation and Applications [ppt] [pdf]
  3 2023/09/26 Investing Psychology and Behavioral Finance [ppt] [pdf]
  4 2023/10/03 Event Studies in Finance [ppt] [pdf]
  5 2023/10/10 National Day (Day off)
  6 2023/10/17 Case Study on AI in Finance and Quantitative Analysis I
  7 2023/10/24 Finance Theory and Data-Driven Finance [ppt] [pdf]
  8 2023/10/31 Midterm Project Report
  9 2023/11/07 Financial Econometrics [ppt] [pdf]
  10 2023/11/14 AI-First Finance [ppt] [pdf]
  11 2023/11/21 Deep Learning in Finance; Reinforcement Learning in Finance [ppt] [pdf]
  12 2023/11/28 Case Study on AI in Finance and Quantitative Analysis II
  13 2023/12/05 Industry Practices of AI in Finance and Quantitative Analysis [Invited Talk: Index Design – Methodology, Data Analysis and the Application of Quantitative Investing, Invited Speaker: Jervis J.G. Li, Fund Manager, Yuanta SITC]
  14 2023/12/12 Self-study
  15 2023/12/19 Algorithmic Trading; Risk Management; Trading Bot and Event-Based Backtesting [ppt] [pdf]
  16 2023/12/26 Final Project Report I
  17 2024/01/02 Final Project Report II
  18 2024/01/09 Self-study
  

• Artificial Intelligence for Text Analytics (MBA, IM, NTPU) (Fall 2023)
  (MBA, IM, NTPU) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG) (3 Credits, Elective) (M5265)
  (1121) [EMI] [Full English Course] (2023.09 - 2024.01)
  (Wed, 2, 3, 4, 9:10-12:00)(B3F17)
  
• * [Artificial Intelligence for Text Analytics] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/miy-fbif-max
  Time: 9:10-12:00, Wednesday (September 13, 2023 - January 3, 2024)
• Week   Date   Subject/Topics
  1 2023/09/13 Introduction to Artificial Intelligence for Text Analytics [ppt] [pdf]
  2 2023/09/20 Foundations of Text Analytics: Natural Language Processing (NLP) [ppt] [pdf]
  3 2023/09/27 Python for Natural Language Processing [ppt] [pdf]
  4 2023/10/04 Natural Language Processing with Transformers [ppt] [pdf]
  5 2023/10/11 Case Study on Artificial Intelligence for Text Analytics I
  6 2023/10/18 Text Classification and Sentiment Analysis [ppt] [pdf]
  7 2023/10/25 Multilingual Named Entity Recognition (NER) [ppt] [pdf]
  8 2023/11/01 Midterm Project Report
  9 2023/11/08 Text Similarity and Clustering [ppt] [pdf]
  10 2023/11/15 Text Summarization and Topic Models [ppt] [pdf]
  11 2023/11/22 Text Generation with Large Language Models (LLMs) [ppt] [pdf]
  12 2023/11/29 Case Study on Artificial Intelligence for Text Analytics II
  13 2023/12/06 Question Answering and Dialogue Systems [ppt] [pdf]
  14 2023/12/13 Self-study
  15 2023/12/20 Deep Learning, Generative AI, Transfer Learning, Zero-Shot, and Few-Shot Learning for Text Analytics [ppt] [pdf]
  16 2023/12/27 Final Project Report I
  17 2024/01/03 Final Project Report II
  18 2024/01/10 Self-study
  

• Python for Accounting Applications (ACC2, NTPU) (Fall 2023)
  (ACC2, NTPU) (3 Credits, Elective) (U2004)
  (1121) [EMI] [Full English Course] (2023.09 - 2024.01)
  (Wed, 6, 7, 8, 14:10-17:00)(B3F10)
  
• * [Python for Accounting Applications] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/ofh-iosa-ehd
  Time: 9:10-12:00, Wednesday (September 13, 2023 - December 27, 2023)
• Week   Date   Subject/Topics
  1 2023/09/13 Introduction to Python for Accounting Applications [ppt] [pdf]
  2 2023/09/20 Python Programming and Data Science [ppt] [pdf]
  3 2023/09/27 Foundations of Python Programming [ppt] [pdf]
  4 2023/10/04 Data Structures [ppt] [pdf]
  5 2023/10/11 Control Logic and Loops [ppt] [pdf]
  6 2023/10/18 Functions and Modules [ppt] [pdf]
  7 2023/10/25 Files and Exception Handling [ppt] [pdf]
  8 2023/11/01 Midterm Project Report
  9 2023/11/08 Data Analytics and Visualization with Python [ppt] [pdf]
  10 2023/11/15 Obtaining Data From the Web with Python [ppt] [pdf]
  11 2023/11/22 Statistical Analysis with Python [ppt] [pdf]
  12 2023/11/29 Machine Learning with Python [ppt] [pdf]
  13 2023/12/06 Text Analytics with Python and Large Language Models (LLMs) [ppt] [pdf]
  14 2023/12/13 Applications of Accounting Data Analytics with Python
  15 2023/12/20 Applications of ESG Data Analytics with Python
  16 2023/12/27 Final Project Report
  17 2024/01/03 Self-study
  18 2024/01/10 Self-study
  

• 大數據分析 (Big Data Analytics) (MBA, IM, NTPU) (Spring 2023)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6031) [Full English Course]
  (1112) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2023.02 - 2023.06)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商8F40)
  
• 軟體工程 (Software Engineering) (MBA, IM, NTPU) (Spring 2023)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5010) [Full English Course]
  (1112) (國立臺北大學資管所碩士班) (資訊系統管理領域) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2023.02 - 2023.06)
  (週三 Wed, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商8F40)
  
• 企業雲端運算入門 (Foundation of Business Cloud Computing) (BA4, NTPU) (Spring 2023)
  (AWS Academy Cloud Foundations; ACF) (AWS Certified Cloud Practitioner)
  (BA4, NTPU) (3 Credits, Elective) (U4010) (自主學習課程) (商業智慧與大數據分析學士學分學程)
  (1112) (國立臺北大學企管系4A, 4B) (選修3學分) (授課教師：謝榮桂，戴敏育) (2023.02 - 2023.06)
  (週三 Wed, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商3F10)
  

• Big Data Analytics (MBA, IM, NTPU) (Spring 2023)
  (MBA, IM, NTPU) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG) (3 Credits, Elective) (M6031)
  (1112) [EMI] [Full English Course] (2023.02 - 2023.06)
  (Tue, 2, 3, 4, 9:10-12:00)(B8F40)
  
• * Announcement: [Big Data Analytics] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/paj-zhhj-mya
  Time: 9:10-12:00, Tuesday (Februay 21, 2023 - June 20, 2023)
• Week   Date   Subject/Topics
  1 2023/02/21 Introduction to Big Data Analysis [ppt] [pdf]
  2 2023/02/28 (Day Off)
  3 2023/03/07 AI, Data Science and Big Data Analysis [ppt] [pdf]
  4 2023/03/14 Foundations of Big Data Analysis in Python [ppt] [pdf]
  5 2023/03/21 Case Study on Big Data Analysis I
  6 2023/03/28 Machine Learning: SAS Viya, Data Preparation and Algorithm Selection [Secured ppt] [Secured pdf]
  7 2023/04/04 Children's Day (Day off)
  8 2023/04/11 Midterm Project Report
  9 2023/04/18 Machine Learning: Decision Trees and Ensembles of Trees [Secured ppt] [Secured pdf]
  10 2023/04/25 Machine Learning: Neural Networks (NN) and Support Vector Machines (SVM) [Secured ppt] [Secured pdf]
  11 2023/05/02 Case Study on Big Data Analysis II
  12 2023/05/09 Machine Learning: Model Assessment and Deployment [Secured ppt] [Secured pdf]
  13 2023/05/16 ChatGPT and Large Language Models (LLM) for Big Data Analysis [ppt] [pdf]
  14 2023/05/23 Deep Learning for Finance Big Data Analysis [ppt] [pdf]
  15 2023/05/30 Final Project Report I
  16 2023/06/06 Final Project Report II
  17 2023/06/13 Self-learning
  18 2023/06/20 Self-learning
  
  
  
  
• References:
  1. BDA2023 SASViya
  2. SAS Viya
  3. Create SAS Profile
  4. SAS Virtual Learning Environment
  5. Machine Learning Using SAS Viya 3.5
  7. SAS Certified Specialist: Machine Learning Using SAS Viya 3.5
  6. SAS Certification
  

• Software Engineering (MBA, IM, NTPU) (Spring 2023)
  (MBA, IM, NTPU) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG) (3 Credits, Elective) (M6031)
  (1112) [EMI] [Full English Course] (2023.02 - 2023.06)
  (Wed, 2, 3, 4, 9:10-12:00)(B8F40)
  
• * Announcement: [Software Engineering] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/ish-gzmy-pmo
  Time: 9:10-12:00, Wednesday (February 22, 2023 - June 7, 2023)
• Week   Date   Subject/Topics
  1 2023/02/22 Introduction to Software Engineering [ppt] [pdf]
  2 2023/03/01 Software Products and Project Management: Software product management and prototyping [ppt] [pdf]
  3 2023/03/08 Agile Software Engineering: Agile methods, Scrum, and Extreme Programming [ppt] [pdf]
  4 2023/03/15 Features, Scenarios, and Stories [ppt] [pdf]
  5 2023/03/22 Case Study on Software Engineering I
  6 2023/03/29 Software Architecture: Architectural design, System decomposition, and Distribution architecture [ppt] [pdf]
  7 2023/04/05 Tomb-Sweeping Day (Holiday, No Classes)
  8 2023/04/12 Midterm Project Report
  9 2023/04/19 Cloud-Based Software: Virtualization and containers, Everything as a service, Software as a service [ppt] [pdf]
  10 2023/04/26 Cloud Computing and Cloud Software Architecture [ppt] [pdf]
  11 2023/05/03 Microservices Architecture, RESTful services, Service deployment [ppt] [pdf]
  12 2023/05/10 Security and Privacy; Reliable Programming; Testing: Functional testing, Test automation, Test-driven development, and Code reviews; DevOps and Code Management: Code management and DevOps automation [ppt] [pdf]
  13 2023/05/17 Industry Practices of Software Engineering [Invited Talk: Agile Principles Patterns and Practices using AI and ChatGPT, Invited Speaker: Shihyu (Alex) Chu, Division Director, Software Industry Research Center, Market Intelligence & Consulting Institute (MIC)]
  14 2023/05/24 Case Study on Software Engineering II
  15 2023/05/31 Final Project Report I
  16 2023/06/07 Final Project Report II
  17 2023/06/15 Self-learning
  18 2023/06/22 Self-learning
  
  
  
  
• References:
  NTPU EMI Invited Talk:
  1. 2023/05/17 (12:10-13:00 Wednesday)
  Invited Talk: 國際碳中和產業趨勢與數位轉型永續發展 (International Carbon Neutral Industry Trends and Digital Transformation for Sustainable Development),
  Invited Speaker: Shihyu (Alex) Chu, Division Director, Software Industry Research Center, Market Intelligence & Consulting Institute (MIC)
  

• 企業雲端運算入門 (Foundation of Business Cloud Computing) (BA4, NTPU) (Spring 2023)
  (AWS Academy Cloud Foundations; ACF) (AWS Certified Cloud Practitioner)
  (BA4, NTPU) (3 Credits, Elective) (U4010) (自主學習課程) (商業智慧與大數據分析學士學分學程)
  (1112) (國立臺北大學企管系4A, 4B) (選修3學分) (授課教師：謝榮桂，戴敏育) (2023.02 - 2023.06)
  (週三 Wed, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商3F10)
  
• * 公告：[企業雲端運算入門] 實體授課同步遠距教學、自主學習。Google Meet 遠距線上同步教學：https://meet.google.com/ofh-iosa-ehd
  時間：週三 14:10-17:00
  [企業雲端運算入門] 實體授課同步遠距教學 Google Meet：https://meet.google.com/ofh-iosa-ehd
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2023/02/23 雲端概念概述 (Cloud Concepts Overview) [ppt] [pdf]
  2 2023/03/01 雲端經濟與計費 (Cloud Economics and Billing)
  3 2023/03/08 AWS全球基礎設施概述 (AWS Global Infrastructure Overview)
  4 2023/03/15 AWS雲端安全 (AWS Cloud Security)
  5 2023/03/22 網路和內容交付 (Networking and Content Delivery)
  6 2023/03/29 雲端計算 (Cloud Compute)
  7 2023/04/05 放假一天 (No Classes)
  8 2023/04/12 雲端儲存 (Cloud Storage)
  9 2023/04/19 雲端數據庫 (Cloud Databases)
  10 2023/04/26 雲端架構 (Cloud Architecture)
  11 2023/05/03 雲端自動擴展和監控 (Cloud Automatic Scaling and Monitoring)
  12 2023/05/10 學生自主學習 (Self-learning
  13 2023/05/17 學生自主學習 (Self-learning)
  14 2023/05/24 雲端專案成果報告與討論 (Cloud Project Presentation and Discussion)
  15 2023/05/31 學生自主學習 (Self-learning)
  16 2023/06/07 期末專案成果報告 (Final Project Presentation)
  17 2023/06/14 學生自主學習 (Self-learning)
  18 2023/06/21 學生自主學習 (Self-learning)
  
  
  
  
• References:
  1. AWS Academy (Application: ntpu aws app) (https://awsacademy.instructure.com/ , Vocareum Labs)
  2. AWS Educate
  3. AWS Free Tier
  4. AWS Training
  5. AWS Cloud Practitioner Essentials (Second Edition)
  6. AWS Certified Cloud Practitioner
  7. AWS Educate User Guide for Students
  8. AWS Academy Cloud Foundations (ACF): AWS_ACF_M01 ~ AWS_ACF_M10
  

• 智慧金融量化分析 (Artificial Intelligence in Finance and Quantitative Analysis) (MBA, IM, NTPU) (Fall 2022)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6132) [Full English Course]
  (1111) (國立臺北大學資管所碩士班) (資訊系統管理領域) (電子商務碩士學分學程) (財務金融英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2022.09 - 2023.01)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商8F40)
  
• 人工智慧 (Artificial Intelligence) (MBA, IM, NTPU) (Fall 2022)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6049) [Full English Course]
  (1111) (國立臺北大學資管所碩士班) (資訊系統管理領域) (電子商務碩士學分學程) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (城市治理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2022.09 - 2023.01)
  (週三 Wed, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商8F40)
  

• Artificial Intelligence in Finance and Quantitative Analysis (MBA, IM, NTPU) (Fall 2022)
  (MBA, IM, NTPU) (Electronic Commerce Program) (Global MBA in Finance) (3 Credits, Elective) (M6132)
  (1111) [EMI] [Full English Course] (2022.09 - 2023.01)
  (Tue, 2, 3, 4, 9:10-12:00)(B8F40)
  
• * Announcement: [Artificial Intelligence in Finance and Quantitative Analysis] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/paj-zhhj-mya
  Time: 9:10-12:00, Tuesday (September 13, 2022 - December 27, 2022)
• Week   Date   Subject/Topics
  1 2022/09/13 Introduction to Artificial Intelligence in Finance and Quantitative Analysis [ppt] [pdf] [ONLINE]
  2 2022/09/20 AI in FinTech: Metaverse, Web3, DeFi, NFT, Financial Services Innovation and Applications [ppt] [pdf] [ONLINE]
  3 2022/09/27 Investing Psychology and Behavioral Finance [ppt] [pdf] [In-Person]
  4 2022/10/04 Event Studies in Finance [ppt] [pdf] [In-Person]
  5 2022/10/11 Case Study on AI in Finance and Quantitative Analysis I
  6 2022/10/18 Finance Theory [ppt] [pdf]
  7 2022/10/25 Data-Driven Finance [ppt] [pdf]
  8 2022/11/01 Midterm Project Report
  9 2022/11/08 Financial Econometrics and Machine Learning [ppt] [pdf]
  10 2022/11/15 AI-First Finance [ppt] [pdf]
  11 2022/11/22 Deep Learning in Finance; Reinforcement Learning in Finance [ppt] [pdf]
  12 2022/11/29 Case Study on AI in Finance and Quantitative Analysis II
  13 2022/12/06 Industry Practices of AI in Finance and Quantitative Analysis [Invited Talk: Index Design – Methodology, Data Analysis and the Application of Quantitative Investing, Invited Speaker: Jervis J.G. Li, Fund Manager, Yuanta SITC]
  14 2022/12/13 Algorithmic Trading; Risk Management; Trading Bot and Event-Based Backtesting [ppt] [pdf]
  15 2022/12/20 Final Project Report I
  16 2022/12/27 Final Project Report II
  17 2023/01/03 Self-learning
  18 2023/01/10 Self-learning
  

• Artificial Intelligence (MBA, IM, NTPU) (Fall 2022)
  (MBA, IM, NTPU) (Electronic Commerce Program) (Global MBA in Finance) (The Master Program in Smart Healthcare Management; SHM) (International Program on Urban Governance; IPUG) (3 Credits, Elective) (M6049)
  (1111) [EMI] [Full English Course] (2022.09 - 2023.01)
  (Wed, 2, 3, 4, 9:10-12:00)(B8F40)
  
• * Announcement: [Artificial Intelligence] In-Person Instruction and Distance Learning.
  Google Meet: https://meet.google.com/miy-fbif-max
  Time: 9:10-12:00, Wednesday (September 14, 2022 - December 28, 2022)
• Week   Date   Subject/Topics
  1 2022/09/14 Introduction to Artificial Intelligence [ppt] [pdf] [ONLINE]
  2 2022/09/21 Artificial Intelligence and Intelligent Agents [ppt] [pdf] [ONLINE]
  3 2022/09/28 Problem Solving [ppt] [pdf] [In-Person]
  4 2022/10/05 Knowledge, Reasoning and Knowledge Representation; Uncertain Knowledge and Reasoning [ppt] [pdf] [In-Person]
  5 2022/10/12 Case Study on Artificial Intelligence I
  6 2022/10/19 Machine Learning: Supervised and Unsupervised Learning [ppt] [pdf]
  7 2022/10/26 The Theory of Learning and Ensemble Learning [ppt] [pdf]
  8 2022/11/02 Midterm Project Report
  9 2022/11/09 Deep Learning and Reinforcement Learning [ppt] [pdf]
  10 2022/11/16 Deep Learning for Natural Language Processing [ppt] [pdf]
  11 2022/11/23 Invited Talk: Matching Texts with Data for Evidence-based Information Retrieval [Invited Speaker: Prof. Makoto P. Kato, University of Tsukuba, Japan]
  12 2022/11/30 Case Study on Artificial Intelligence II
  13 2022/12/07 Computer Vision and Robotics [ppt] [pdf]
  14 2022/12/14 Philosophy and Ethics of AI and the Future of AI [ppt] [pdf]
  15 2022/12/21 Final Project Report I
  16 2022/12/28 Final Project Report II
  17 2023/01/04 Self-learning
  18 2023/01/11 Self-learning
  

• Artificial Intelligence for Text Analytics (人工智慧文本分析) (MBA, IM, NTPU) (Spring 2022)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5026) [Full English Course]
  (1102) (國立臺北大學資管所碩士班) (資訊系統管理領域) (電子商務碩士學分學程) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2022.02 - 2022.06)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商8F40)
  
• Software Engineering (軟體工程) (MBA, IM, NTPU) (Spring 2022)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5010) [Full English Course]
  (1101) (國立臺北大學資管所碩士班) (資訊系統管理領域) (電子商務碩士學分學程) (財務金融英語碩士學位學程) (智慧醫療管理英語碩士學位學程) (選修3學分) [EMI 全英語授課] (2022.02 - 2022.06)
  (週三 Wed, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商8F40)
  
• 企業雲端運算入門 (Foundation of Business Cloud Computing) (BA4, NTPU) (Spring 2022)
  (AWS Academy Cloud Foundations; ACF) (AWS Certified Cloud Practitioner)
  (BA4, NTPU) (3 Credits, Elective) (U4010) (自主學習課程) (商業智慧與大數據分析學士學分學程)
  (1102) (國立臺北大學企管系4A, 4B) (選修3學分) (授課教師：謝榮桂，戴敏育) (2022.02 - 2022.06)
  (週三 Wed, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商3F10)
  

• Artificial Intelligence for Text Analytics (MBA, IM, NTPU) (Spring 2022)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5026)
  (1102) [EMI] [Full English Course] (2022.02 - 2022.06)
  (Tue, 2, 3, 4, 9:10-12:00)(B8F40)
  
• * Announcement: [Artificial Intelligence for Text Analytics] In-Person Instruction and Distance Learning. Google Meet: https://meet.google.com/paj-zhhj-mya
  Time: 9:10-12:00, Tuesday (February 22, 2022 - June 7, 2022)
  [Artificial Intelligence for Text Analytics] In-Person and Distance Learning Google Meet: https://meet.google.com/paj-zhhj-mya
  (Distance Teaching Mode from May 10, 2022)
  
• Week   Date   Subject/Topics
  1 2022/02/22 Introduction to Artificial Intelligence for Text Analytics [ppt] [pdf]
  2 2022/03/01 Foundations of Text Analytics: Natural Language Processing (NLP) [ppt] [pdf]
  3 2022/03/08 Python for Natural Language Processing [ppt] [pdf]
  4 2022/03/15 Natural Language Processing with Transformers [ppt] [pdf]
  5 2022/03/22 Case Study on Artificial Intelligence for Text Analytics I
  6 2022/03/29 Text Classification and Sentiment Analysis [ppt] [pdf]
  7 2022/04/05 Tomb-Sweeping Day (Holiday, No Classes)
  8 2022/04/12 Midterm Project Report
  9 2022/04/19 Multilingual Named Entity Recognition (NER), Text Similarity and Clustering [ppt] [pdf]
  10 2022/04/26 Text Summarization and Topic Models [ppt] [pdf]
  11 2022/05/03 Text Generation [ppt] [pdf]
  12 2022/05/10 Case Study on Artificial Intelligence for Text Analytics II
  13 2022/05/17 Question Answering and Dialogue Systems [ppt] [pdf]
  14 2022/05/24 Deep Learning, Transfer Learning, Zero-Shot, and Few-Shot Learning for Text Analytics [ppt] [pdf]
  15 2022/05/31 Final Project Report I
  16 2022/06/07 Final Project Report II
  17 2022/06/14 Self-learning
  18 2022/06/21 Self-learning
  

• Software Engineering (MBA, IM, NTPU) (Spring 2022)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5010)
  (1102) [EMI] [Full English Course] (2022.02 - 2022.06)
  (Wed, 2, 3, 4, 9:10-12:00)(B8F40)
  
• * Announcement: [Software Engineering] In-Person Instruction and Distance Learning. Google Meet: https://meet.google.com/ish-gzmy-pmo
  Time: 9:10-12:00, Wednesday (February 23, 2022 - June 8, 2022)
  [Software Engineering] In-Person and Distance Learning Google Meet: https://meet.google.com/ish-gzmy-pmo
  (Distance Teaching Mode from May 10, 2022)
  
• Week   Date   Subject/Topics
  1 2022/02/23 Introduction to Software Engineering [ppt] [pdf]
  2 2022/03/02 Software Products and Project Management: Software product management and prototyping [ppt] [pdf]
  3 2022/03/09 Agile Software Engineering: Agile methods, Scrum, and Extreme Programming [ppt] [pdf]
  4 2022/03/16 Features, Scenarios, and Stories [ppt] [pdf]
  5 2022/03/23 Case Study on Software Engineering I
  6 2022/03/30 Software Architecture: Architectural design, System decomposition, and Distribution architecture [ppt] [pdf]
  7 2022/04/06 Make-up holiday for NTPU Anniversary & Sports Day (No Classes)
  8 2022/04/13 Midterm Project Report
  9 2022/04/20 Cloud-Based Software: Virtualization and containers, Everything as a service, Software as a service [ppt] [pdf]
  10 2022/04/27 Cloud Computing and Cloud Software Architecture [ppt] [pdf]
  11 2022/05/04 Microservices Architecture, RESTful services, Service deployment [ppt] [pdf]
  12 2022/05/11 Industry Practices of Software Engineering [Invited Talk: "Agile Principles Patterns and Practices in FinTech and Digital Transformation", Invited Speaker: Shihyu (Alex) Chu, Senior Industry Analyst/Program Manager, Market Intelligence & Consulting Institute (MIC)]
  13 2022/05/18 Case Study on Software Engineering II
  14 2022/05/25 Security and Privacy; Reliable Programming; Testing: Functional testing, Test automation, Test-driven development, and Code reviews; DevOps and Code Management: Code management and DevOps automation [ppt] [pdf]
  15 2022/06/01 Final Project Report I
  16 2022/06/08 Final Project Report II
  17 2022/06/15 Self-learning
  18 2022/06/22 Self-learning
  
  
  
  
• References:
  1. 2022/05/11 (Wednesday) 9:10 pm - 12:00 pm, Invited Talk: "Agile Principles Patterns and Practices in FinTech and Digital Transformation", Invited Speaker: Shihyu (Alex) Chu, Senior Industry Analyst/Program Manager, Market Intelligence & Consulting Institute (MIC), Google Form
  Google Meet: https://meet.google.com/ish-gzmy-pmo
  
  2. 2022/05/11 (Wednesday) 12:10 pm - 13:00 pm, Invited Talk: "Professional Business Presentations in English", Invited Speaker: Shihyu (Alex) Chu, Senior Industry Analyst/Program Manager, Market Intelligence & Consulting Institute (MIC), Google Form
  Google Meet: http://meet.google.com/uaq-vmjj-vff
  
  3. 2022/05/18 (Wednesday) 12:10 pm - 13:00 pm, Invited Talk: "Web 3: From DeFi to WoFi", Invited Speaker: Prof. Shih-wei Liao, National Taiwan University, Google Form
  Google Meet: http://meet.google.com/uaq-vmjj-vff
  
  

• 企業雲端運算入門 (Foundation of Business Cloud Computing) (BA4, NTPU) (Spring 2022)
  (AWS Academy Cloud Foundations; ACF) (AWS Certified Cloud Practitioner)
  (BA4, NTPU) (3 Credits, Elective) (U4010) (自主學習課程) (商業智慧與大數據分析學士學分學程)
  (1102) (國立臺北大學企管系4A, 4B) (選修3學分) (授課教師：謝榮桂，戴敏育) (2022.02 - 2022.06)
  (週三 Wed, 6, 7, 8, 14:10-17:00)(臺北大學三峽校區 商3F10)
  
• * 公告：[企業雲端運算入門] 實體授課同步遠距教學、自主學習。Google Meet 遠距線上同步教學：https://meet.google.com/ofh-iosa-ehd
  時間：週三 14:10-17:00
  [企業雲端運算入門] 實體授課同步遠距教學 Google Meet：https://meet.google.com/ofh-iosa-ehd
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2022/02/23 雲端概念概述 (Cloud Concepts Overview) [ppt] [pdf]
  2 2022/03/02 雲端經濟與計費 (Cloud Economics and Billing)
  3 2022/03/09 AWS全球基礎設施概述 (AWS Global Infrastructure Overview)
  4 2022/03/16 AWS雲端安全 (AWS Cloud Security)
  5 2022/03/23 網路和內容交付 (Networking and Content Delivery)
  6 2022/03/30 雲端計算 (Cloud Compute)
  7 2022/04/06 放假一天 (Make-up Holiday, No Classes)
  8 2022/04/13 雲端儲存 (Cloud Storage)
  9 2022/04/20 雲端數據庫 (Cloud Databases)
  10 2022/04/27 雲端架構 (Cloud Architecture)
  11 2022/05/04 雲端自動擴展和監控 (Cloud Automatic Scaling and Monitoring)
  12 2022/05/11 學生自主學習 (Self-learning
  13 2022/05/18 學生自主學習 (Self-learning)
  14 2022/05/25 雲端專案成果報告與討論 (Cloud Project Presentation and Discussion)
  15 2022/06/01 學生自主學習 (Self-learning)
  16 2022/06/08 期末專案成果報告 (Final Project Presentation)
  17 2022/06/15 學生自主學習 (Self-learning)
  18 2022/06/22 學生自主學習 (Self-learning)
  
  
  
  
• References:
  1. AWS Academy (Application: ntpu aws app) (https://awsacademy.instructure.com/ , Vocareum Labs)
  2. AWS Educate
  3. AWS Free Tier
  4. AWS Training
  5. AWS Cloud Practitioner Essentials (Second Edition)
  6. AWS Certified Cloud Practitioner
  7. AWS Educate User Guide for Students
  8. AWS Academy Cloud Foundations (ACF): AWS_ACF_M01 ~ AWS_ACF_M10
  

• 智慧金融量化分析 (Artificial Intelligence in Finance and Quantitative Analysis) (MBA, IM, NTPU) (Fall 2021)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6132)
  (1101) (國立臺北大學資管所碩士班) (選修3學分) (2021.09 - 2022.01)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商8F40)
  
• 軟體工程 (Software Engineering) (MBA, IM, NTPU) (Fall 2021)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6131) (電子商務碩士學分學程)
  (1101) (國立臺北大學資管所碩士班) (選修3學分) (2021.09 - 2022.01)
  (週四 Thu, 11, 12, 13, 19:25-22:10)(臺北大學民生校區 209)
  

• 智慧金融量化分析 (Artificial Intelligence in Finance and Quantitative Analysis) (MBA, IM, NTPU) (Fall 2021)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6132)
  (1101) (國立臺北大學資管所碩士班) (選修3學分) (2021.09 - 2022.01)
  (週二 Tue, 2, 3, 4, 9:10-12:00)(臺北大學三峽校區 商8F40)
  
• 公告：[智慧金融量化分析] 課程第 1-2 週 採用 Google Meet 遠距線上同步教學：http://meet.google.com/uaq-vmjj-vff
  時間：週二 9:10-12:00 (第一次上課 2021/9/28)
  [智慧金融量化分析] 遠距教學 Google Meet：http://meet.google.com/uaq-vmjj-vff
  Or open Meet and enter this code: uaq-vmjj-vff
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2021/09/28 智慧金融量化分析概論 (Introduction to Artificial Intelligence in Finance and Quantitative Analysis) [ppt] [pdf]
  2 2021/10/05 AI 金融科技: 金融服務創新應用 (AI in FinTech: Financial Services Innovation and Application) [ppt] [pdf]
  3 2021/10/12 投資心理學與行為財務學 (Investing Psychology and Behavioral Finance) [ppt] [pdf]
  4 2021/10/19 財務金融事件研究法 (Event Studies in Finance) [ppt] [pdf]
  5 2021/10/26 智慧金融量化分析個案研究 I (Case Study on AI in Finance and Quantitative Analysis I)
  6 2021/11/02 財務金融理論 (Finance Theory) [ppt] [pdf]
  7 2021/11/09 數據驅動財務金融 (Data-Driven Finance) [ppt] [pdf]
  8 2021/11/16 期中報告 (Midterm Project Report)
  9 2021/11/23 金融計量經濟學 (Financial Econometrics) [ppt] [pdf]
  10 2021/11/30 人工智慧優先金融 (AI-First Finance) [ppt] [pdf]
  11 2021/12/07 智慧金融量化分析產業實務 (Industry Practices of AI in Finance and Quantitative Analysis)[演講主題：指數設計的方法論、數據分析與量化投資應用，演講者：李政剛，基金經理/元大投信][Invited Talk: Index Design – Methodology, Data Analysis and the Application of Quantitative Investing, Invited Speaker: Jervis J.G. Li, Fund Manager, Yuanta SITC]
  12 2021/12/14 智慧金融量化分析個案研究 II (Case Study on AI in Finance and Quantitative Analysis II)
  13 2021/12/21 財務金融深度學習(Deep Learning in Finance); 財務金融強化學習 (Reinforcement Learning in Finance) [ppt] [pdf]
  14 2021/12/28 演算法交易 (Algorithmic Trading); 風險管理 (Risk Management); 交易機器人與基於事件的回測 (Trading Bot and Event-Based Backtesting) [ppt] [pdf]
  15 2022/01/04 期末報告 I (Final Project Report I)
  16 2022/01/11 期末報告 II (Final Project Report II)
  17 2022/01/18 學生自主學習 (Self-learning)
  18 2022/01/25 學生自主學習 (Self-learning)
  

• 軟體工程 (Software Engineering) (MBA, IM, NTPU) (Fall 2021)
  (MBA, IM, NTPU) (3 Credits, Elective) (M6131) (電子商務碩士學分學程)
  (1101) (國立臺北大學資管所碩士班) (選修3學分) (2021.09 - 2022.01)
  (週四 Thu, 11, 12, 13, 19:25-22:10)(臺北大學民生校區 209)
  
• 公告：[軟體工程] 課程第 1-2 週 採用 Google Meet 遠距線上同步教學：http://meet.google.com/zqs-amev-anr
  時間：週四 19:25-22:10 (第一次上課 2021/9/23)
  [軟體工程] 遠距教學 Google Meet：http://meet.google.com/zqs-amev-anr
  Or open Meet and enter this code: zqs-amev-anr
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2021/09/23 軟體工程概論 (Introduction to Software Engineering) [ppt] [pdf]
  2 2021/09/30 軟體產品與專案管理：軟體產品管理，原型設計 (Software Products and Project Management: Software product management and prototyping) [ppt] [pdf]
  3 2021/10/07 敏捷軟體工程：敏捷方法、Scrum、極限程式設計 (Agile Software Engineering: Agile methods, Scrum, and Extreme Programming) [ppt] [pdf]
  4 2021/10/14 功能、場景和故事 (Features, Scenarios, and Stories) [ppt] [pdf]
  5 2021/10/21 軟體工程個案研究 I (Case Study on Software Engineering I)
  6 2021/10/28 軟體架構：架構設計、系統分解、分散式架構 (Software Architecture: Architectural design, System decomposition, and Distribution architecture) [ppt] [pdf]
  7 2021/11/04 基於雲的軟體：虛擬化和容器、軟體即服務 (Cloud-Based Software: Virtualization and containers, Everything as a service, Software as a service) [ppt] [pdf]
  8 2021/11/11 期中報告 (Midterm Project Report)
  9 2021/11/18 雲端運算與雲軟體架構 (Cloud Computing and Cloud Software Architecture) [ppt] [pdf]
  10 2021/11/25 微服務架構：RESTful服務、服務部署 (Microservices Architecture, RESTful services, Service deployment) [ppt] [pdf]
  11 2021/12/02 安全和隱私 (Security and Privacy); 可靠的程式設計 (Reliable Programming) [ppt] [pdf]
  12 2021/12/09 軟體工程個案研究 II (Case Study on Software Engineering II)
  13 2021/12/16 軟體工程產業實務 (Industry Practices of Software Engineering)[演講主題：資料科學驅動精準行銷專案管理，演講者：陳維君 (Irene)，廣告科技組長，KKday][Invited Talk: Data Science Driven Project Management in Precision Marketing, Invited Speaker: Irene Chen, AdTech Lead, KKday]
  14 2021/12/23 測試：功能測試、測試自動化、測試驅動的開發、程式碼審查 (Testing: Functional testing, Test automation, Test-driven development, and Code reviews); DevOps和程式碼管理：程式碼管理和DevOps自動化 (DevOps and Code Management: Code management and DevOps automation) [ppt] [pdf]
  15 2021/12/30 期末報告 I (Final Project Report I)
  16 2022/01/06 期末報告 II (Final Project Report II)
  17 2022/01/13 學生自主學習 (Self-learning)
  18 2022/01/20 學生自主學習 (Self-learning)
  

• 人工智慧 (Artificial Intelligence) (MBA, IM, NTPU) (Spring 2021)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5010) (資訊系統管理領域)
  (1092) (國立臺北大學資管所碩士班) (選修3學分) (2021.02 - 2021.06)
  (週三 Wed, 2, 3, 4, 9:10-12:00) (臺北大學三峽校區 商8F40)
  
• 資料探勘 (Data Mining) (MBA, IM, NTPU) (Spring 2021)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5026) (電子商務碩士學分學程)
  (1092) (國立臺北大學資管所碩士班) (選修3學分) (2021.02 - 2021.06)
  (週二 Tue, 2, 3, 4, 9:10-12:00) (臺北大學三峽校區 商8F40)
  
• 企業雲端運算入門 (Foundation of Business Cloud Computing) (BA4, NTPU) (Spring 2021)
  (AWS Academy Cloud Foundations; ACF) (AWS Certified Cloud Practitioner)
  (BA4, NTPU) (3 Credits, Elective) (U4010) (自主學習課程) (商業智慧與大數據分析學士學分學程)
  (1092) (國立臺北大學企管系4A, 4B) (選修3學分) (授課教師：謝榮桂，戴敏育) (2021.02 - 2021.06)
  (週三 Wed, 6, 7, 8, 14:10-17:00) (臺北大學三峽校區 文3F10_L)
  
• 雲端服務架構實務 (Cloud Services Architecting Practices) (MI4, TKU) (Spring 2021)
  (AWS Academy Cloud Architecting, ACA)(AWS Solutions Architect, SAA)
  (MI4, TKU) (2 Credits, Elective) (M2436) (2779) (AWS Cloud Program 驗證)
  (1092) (淡江大學資管四 MI4, TKU) (選修2學分) (2021.02 - 2021.06)
  (週四 Thu, 9, 10, 16:10-18:00) (淡江大學淡水校園 B216)
  

• 人工智慧 (Artificial Intelligence) (MBA, IM, NTPU) (Spring 2021)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5010) (資訊系統管理領域)
  (1092) (國立臺北大學資管所碩士班) (選修3學分) (2021.02 - 2021.06)
  (週三 Wed, 2, 3, 4, 9:10-12:00) (臺北大學三峽校區 商8F40)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2021/02/24 人工智慧概論 (Introduction to Artificial Intelligence) [ppt] [pdf]
  2 2021/03/03 人工智慧和智慧代理人 (Artificial Intelligence and Intelligent Agents) [ppt] [pdf]
  3 2021/03/10 問題解決 (Problem Solving) [ppt] [pdf]
  4 2021/03/17 知識推理和知識表達 (Knowledge, Reasoning and Knowledge Representation) [ppt] [pdf]
  5 2021/03/24 不確定知識和推理 (Uncertain Knowledge and Reasoning) [ppt] [pdf]
  6 2021/03/31 人工智慧個案研究 I (Case Study on Artificial Intelligence I)
  7 2021/04/07 放假一天 (Day off)
  8 2021/04/14 機器學習與監督式學習 (Machine Learning and Supervised Learning) [ppt] [pdf]
  9 2021/04/21 期中報告 (Midterm Project Report)
  10 2021/04/28 學習理論與綜合學習 (The Theory of Learning and Ensemble Learning) [ppt] [pdf]
  11 2021/05/05 深度學習 (Deep Learning) [ppt] [pdf]
  12 2021/05/12 人工智慧個案研究 II (Case Study on Artificial Intelligence II)
  13 2021/05/19 強化學習 (Reinforcement Learning) [ppt] [pdf]
  14 2021/05/26 深度學習自然語言處理 (Deep Learning for Natural Language Processing) [ppt] [pdf]
  15 2021/06/02 機器人技術 (Robotics) [ppt] [pdf]
  16 2021/06/09 人工智慧哲學與倫理，人工智慧的未來 (Philosophy and Ethics of AI, The Future of AI) [ppt] [pdf]
  17 2021/06/16 期末報告 I (Final Project Report I)
  18 2021/06/23 期末報告 II (Final Project Report II)
  

• 資料探勘 (Data Mining) (MBA, IM, NTPU) (Spring 2021)
  (MBA, IM, NTPU) (3 Credits, Elective) (M5026) (電子商務碩士學分學程)
  (1092) (國立臺北大學資管所碩士班) (選修3學分) (2021.02 - 2021.06)
  (週二 Tue, 2, 3, 4, 9:10-12:00) (臺北大學三峽校區 商8F40)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2021/02/23 資料探勘介紹 (Introduction to data mining) [ppt] [pdf]
  2 2021/03/02 ABC：人工智慧，大數據，雲端運算 (ABC: AI, Big Data, Cloud Computing) [ppt] [pdf]
  3 2021/03/09 Python資料探勘的基礎 (Foundations of Data Mining in Python) [ppt] [pdf]
  4 2021/03/16 資料科學與資料探勘：發現，分析，可視化和呈現數據 (Data Science and Data Mining: Discovering, Analyzing, Visualizing and Presenting Data) [ppt] [pdf]
  5 2021/03/23 非監督學習：關聯分析，購物籃分析 (Unsupervised Learning: Association Analysis, Market Basket Analysis) [ppt] [pdf]
  6 2021/03/30 資料探勘個案研究 I (Case Study on Data Mining I)
  7 2021/04/06 放假一天 (Day off)
  8 2021/04/13 非監督學習：集群分析，行銷市場區隔 (Unsupervised Learning: Cluster Analysis, Market Segmentation) [ppt] [pdf]
  9 2021/04/20 期中報告 (Midterm Project Report)
  10 2021/04/27 監督學習：分類和預測 (Supervised Learning: Classification and Prediction) [ppt] [pdf]
  11 2021/05/04 機器學習和深度學習 (Machine Learning and Deep Learning) [ppt] [pdf]
  12 2021/05/11 卷積神經網絡 (Convolutional Neural Networks) [ppt] [pdf]
  13 2021/05/18 資料探勘個案研究 II (Case Study on Data Mining II)
  14 2021/05/25 遞歸神經網絡 (Recurrent Neural Networks) [ppt] [pdf]
  15 2021/06/01 強化學習 (Reinforcement Learning) [ppt] [pdf]
  16 2021/06/08 社交網絡分析 (Social Network Analysis) [ppt] [pdf]
  17 2021/06/15 期末報告 I (Final Project Report I)
  18 2021/06/22 期末報告 II (Final Project Report II)
  

• 企業雲端運算入門 (Foundation of Business Cloud Computing) (BA4, NTPU) (Spring 2021)
  (AWS Academy Cloud Foundations; ACF) (AWS Certified Cloud Practitioner)
  (BA4, NTPU) (3 Credits, Elective) (U4010) (自主學習課程) (商業智慧與大數據分析學士學分學程)
  (1092) (國立臺北大學企管系4A, 4B) (選修3學分) (授課教師：謝榮桂，戴敏育) (2021.02 - 2021.06)
  (週三 Wed, 6, 7, 8, 14:10-17:00) (臺北大學三峽校區 文3F10_L)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2021/02/24 雲端概念概述 (Cloud Concepts Overview) [ppt] [pdf]
  2 2021/03/03 雲端經濟與計費 (Cloud Economics and Billing)
  3 2021/03/10 AWS全球基礎設施概述 (AWS Global Infrastructure Overview)
  4 2021/03/17 AWS雲端安全 (AWS Cloud Security)
  5 2021/03/24 網路和內容交付 (Networking and Content Delivery)
  6 2021/03/31 雲端計算 (Cloud Compute)
  7 2021/04/07 放假一天 (Day off)
  8 2021/04/14 雲端儲存 (Cloud Storage)
  9 2021/04/21 雲端數據庫 (Cloud Databases)
  10 2021/04/28 雲端架構 (Cloud Architecture)
  11 2021/05/05 雲端自動擴展和監控 (Cloud Automatic Scaling and Monitoring)
  12 2021/05/12 學生自主學習 (Self-learning) [University AWSome Day @NTPU]
  13 2021/05/19 學生自主學習 (Self-learning)
  14 2021/05/26 雲端專案成果報告與討論 (Cloud Project Presentation and Discussion)
  15 2021/06/02 學生自主學習 (Self-learning)
  16 2021/06/09 學生自主學習 (Self-learning)
  17 2021/06/16 學生自主學習 (Self-learning)
  18 2021/06/23 期末專案成果報告 (Final Project Presentation)
  
  
  
  
• References:
  1. AWS Academy (Application: ntpu aws app) (https://awsacademy.instructure.com/ , Vocareum Labs)
  2. AWS Educate
  3. AWS Free Tier
  4. AWS Training
  5. AWS Cloud Practitioner Essentials (Second Edition)
  6. AWS Certified Cloud Practitioner
  7. AWS Educate User Guide for Students
  8. AWS Academy Cloud Foundations (ACF): AWS_ACF_M01 ~ AWS_ACF_M10
  

• 雲端服務架構實務 (Cloud Services Architecting Practices) (MI4, TKU) (Spring 2021)
  (AWS Academy Cloud Architecting, ACA)(AWS Solutions Architect, SAA)
  (MI4, TKU) (2 Credits, Elective) (M2436) (2779) (AWS Cloud Program 驗證)
  (1092) (淡江大學資管四 MI4, TKU) (選修2學分) (2021.02 - 2021.06)
  (週四 Thu, 9, 10, 16:10-18:00) (淡江大學淡水校園 B216)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2021/02/25 Course orientation on Cloud Services Architecting Practices: AWS Solutions Architect Overview [ppt] [pdf]
  2 2021/03/04 Automating Your Infrastructure
  3 2021/03/11 Decoupling Your Infrastructure
  4 2021/03/18 Designing Web-Scale Media
  5 2021/03/25 Well-Architected Framework
  6 2021/04/01 Off-campus study (教學行政觀摩日)
  7 2021/04/08 Well-Architected Pillar 1 - Operational Excellence
  8 2021/04/15 Well-Architected Pillar 2 - Security
  9 2021/04/22 期中上機測驗
  10 2021/04/29 期中考試週
  11 2021/05/06 Well-Architected Pillar 3 - Reliability
  12 2021/05/13 Well-Architected Pillar 4 - Performance Efficiency, Well-Architected Pillar 5 - Cost-Optimization
  13 2021/05/20 Troubleshooting, Design Patterns and Sample Architectures
  14 2021/05/27 期末上機測驗
  15 2021/06/03 畢業考試週
  
• References:
  1. AWS Academy (Application: imtku aws app) (https://awsacademy.instructure.com/ , Vocareum Labs)
  2. AWS Educate
  3. AWS Free Tier
  4. AWS Training
  5. AWS Cloud Practitioner Essentials (Second Edition)
  6. AWS Certified Cloud Practitioner
  7. AWS Certified Solutions Architect – Associate
  8. AWS Educate User Guide for Students
  9. AWS Academy Cloud Foundations (ACF): AWS_ACF_M01 ~ AWS_ACF_M10
  10. AWS Academy Cloud Architecting (ACA): AWS_ACA_M01 ~ AWS_ACA_M15
  

• 大數據分析 (Big Data Analytics) (MBA, IM, NTPU) (Fall 2020)
  (MBA, IM, NTPU) (3 Credits, Elective)
  (1091) (國立臺北大學資管所碩士班) (選修3學分) (2020.09 - 2021.01)
  (週三 Wed, 7, 8, 9, 15:10-18:00) (臺北大學三峽校區 商8F40)
  
• 軟體工程 (Software Engineering) (MBA, IM, NTPU) (Fall 2020)
  (MBA, IM, NTPU) (3 Credits, Elective)
  (1091) (國立臺北大學資管所碩士班) (選修3學分) (2020.09 - 2021.01)
  (週二 Tue, 2, 3, 4, 9:10-12:00) (臺北大學三峽校區 商8F40)
  
• 人工智慧文本分析 (Artificial Intelligence for Text Analytics) (MBA, IMTKU) (Fall 2020)
  (MBA, IMTKU) (2 Credits, Elective) (M2455) (8410)
  (1091) (淡江大學資管所碩士班) (選修2學分) (2020.09 - 2021.01)
  (週四 Thu, 3, 4, 10:10-12:00) (淡江大學淡水校園 B206)
  
• 雲端服務架構實務 (Cloud Services Architecting Practices) (MI4, TKU) (Fall 2020)
  (AWS Academy Cloud Foundations; ACF) (AWS Cloud Practitioner, AWS Solutions Architect)
  (MI4, TKU) (2 Credits, Elective) (M2436) (2706)
  (1091) (淡江大學資管四 MI4, TKU) (選修2學分) (2020.09 - 2021.01)
  (週四 Thu, 9, 10, 16:10-18:00) (淡江大學淡水校園 B216)
  

• 大數據分析 (Big Data Analytics) (MBA, IM, NTPU) (Fall 2020)
  (MBA, IM, NTPU) (3 Credits, Elective)
  (1091) (國立臺北大學資管所碩士班) (選修3學分) (2020.09 - 2021.01)
  (週三 Wed, 7, 8, 9, 15:10-18:00) (臺北大學三峽校區 商8F40)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2020/09/16 大數據分析介紹 (Introduction to Big Data Analysis) [ppt] [pdf]
  2 2020/09/23 AI人工智慧與大數據分析 (AI and Big Data Analysis) [ppt] [pdf]
  3 2020/09/30 Python 大數據分析基礎 (Foundations of Big Data Analysis in Python) [ppt] [pdf]
  4 2020/10/07 數位沙盒第一堂課：數位沙盒服務平台簡介 (Digital Sandbox Lesson 1: Introduction to FintechSpace Digital Sandbox) [L1]
  5 2020/10/14 數位沙盒第二堂課：工程師操作說明與實作教學 (Digital Sandbox Lesson 2: Hands-on Practices) [L2]
  6 2020/10/21 Python Pandas 大數據量化分析 (Quantitative Big Data Analysis with Pandas in Python) [ppt] [pdf]
  7 2020/10/28 Python Scikit-Learn 機器學習 I (Machine Learning with Scikit-Learn In Python I) [ppt] [pdf]
  8 2020/11/04 數位沙盒第三堂課：學生小組討論實作與成果發表 (Digital Sandbox Lesson 3: Learning Teams Hands-on Project Discussion and Project Presentation) [L3] [Presentation Sample]
  9 2020/11/11 期中報告 (Midterm Project Report)
  10 2020/11/18 Python Scikit-Learn 機器學習 II (Machine Learning with Scikit-Learn In Python II) [ppt] [pdf]
  11 2020/11/25 TensorFlow 深度學習金融大數據分析 I (Deep Learning for Big Data Analysis with TensorFlow I) [ppt] [pdf]
  12 2020/12/02 大數據分析個案研究 (Case Study on Big Data Analysis)
  13 2020/12/09 TensorFlow 深度學習金融大數據分析 II (Deep Learning for Big Data Analysis with TensorFlow II) [ppt] [pdf]
  14 2020/12/16 TensorFlow 深度學習金融大數據分析 III (Deep Learning for Big Data Analysis with TensorFlow III) [ppt] [pdf]
  15 2020/12/23 AI 機器人理財顧問 (Artificial Intelligence for Robo-Advisors) [ppt] [pdf]
  16 2020/12/30 金融科技智慧型交談機器人 (Conversational Commerce and Intelligent Chatbots for Fintech) [ppt] [pdf]
  17 2021/01/06 期末報告 I (Final Project Report I)
  18 2021/01/13 期末報告 II (Final Project Report I)
  
  
• 2021/01/20 (三) 14:00~18:00 FintechSpace 數位沙盒實證人才培育成果發表 (FintechSpace Final Presentation) [L1] [L2] [L3] [Presentation Sample]
  

• 軟體工程 (Software Engineering) (MBA, IM, NTPU) (Fall 2020)
  (MBA, IM, NTPU) (3 Credits, Elective)
  (1091) (國立臺北大學資管所碩士班) (選修3學分) (2020.09 - 2021.01)
  (週二 Tue, 2, 3, 4, 9:10-12:00) (臺北大學三峽校區 商8F40)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2020/09/15 軟體工程概論 (Introduction to Software Engineering) [ppt] [pdf]
  2 2020/09/22 軟體產品與專案管理：軟體產品管理，原型設計 (Software Products and Project Management: Software product management and prototyping) [ppt] [pdf]
  3 2020/09/29 敏捷軟體工程：敏捷方法、Scrum、極限程式設計 (Agile Software Engineering: Agile methods, Scrum, and Extreme Programming) [ppt] [pdf]
  4 2020/10/06 功能、場景和故事 (Features, Scenarios, and Stories) [ppt] [pdf]
  5 2020/10/13 軟體架構：架構設計、系統分解、分散式架構 (Software Architecture: Architectural design, System decomposition, and Distribution architecture) [ppt] [pdf]
  6 2020/10/20 軟體工程個案研究 I (Case Study on Software Engineering I)
  7 2020/10/27 基於雲的軟體：虛擬化和容器、軟體即服務 (Cloud-Based Software: Virtualization and containers, Everything as a service, Software as a service) [ppt] [pdf]
  8 2020/11/03 雲端運算與雲軟體架構 (Cloud Computing and Cloud Software Architecture) [ppt] [pdf]
  9 2020/11/10 期中報告 (Midterm Project Report)
  10 2020/11/17 微服務架構：RESTful服務、服務部署 (Microservices Architecture, RESTful services, Service deployment) [ppt] [pdf]
  11 2020/11/24 軟體工程產業實務 (Industry Practices of Software Engineering)[Invited Talk: AI Hub服務平台介紹, 資策會 蔡政宏 組長]
  12 2020/12/01 安全和隱私 (Security and Privacy) [ppt] [pdf]
  13 2020/12/08 軟體工程個案研究 II (Case Study on Software Engineering II)
  14 2020/12/15 可靠的程式設計 (Reliable Programming) [ppt] [pdf]
  15 2020/12/22 測試：功能測試、測試自動化、測試驅動的開發、程式碼審查 (Testing: Functional testing, Test automation, Test-driven development, and Code reviews) [ppt] [pdf]
  16 2020/12/29 DevOps和程式碼管理：程式碼管理和DevOps自動化 (DevOps and Code Management: Code management and DevOps automation) [ppt] [pdf]
  17 2021/01/05 期末報告 I (Final Project Report I)
  18 2021/01/12 期末報告 II (Final Project Report I)
  

• 人工智慧文本分析 (Artificial Intelligence for Text Analytics) (MBA, IMTKU) (Fall 2020)
  (MBA, IMTKU) (2 Credits, Elective) (M2455) (8410)
  (1091) (淡江大學資管所碩士班) (選修2學分) (2020.09 - 2021.01)
  (週四 Thu, 3, 4, 10:10-12:00) (淡江大學淡水校園 B206)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  
1 2020/09/17 人工智慧文本分析課程介紹 (Course Orientation on Artificial Intelligence for Text Analytics) [ppt] [pdf]
2 2020/09/24 文本分析的基礎：自然語言處理 (Foundations of Text Analytics: Natural Language Processing; NLP) [ppt] [pdf]
3 2020/10/01 中秋節 (Mid-Autumn Festival) 放假一天 (Day off)
4 2020/10/08 Python自然語言處理 (Python for Natural Language Processing) [ppt] [pdf]
5 2020/10/15 處理和理解文本 (Processing and Understanding Text) [ppt] [pdf]
6 2020/10/22 文本表達特徵工程 (Feature Engineering for Text Representation) [ppt] [pdf]
7 2020/10/29 人工智慧文本分析個案研究 I (Case Study on Artificial Intelligence for Text Analytics I)
8 2020/11/05 文本分類 (Text Classification) [ppt] [pdf]
9 2020/11/12 文本摘要和主題模型 (Text Summarization and Topic Models) [ppt] [pdf]
10 2020/11/19 期中報告 (Midterm Project Report)
11 2020/11/26 文本相似度和分群 (Text Similarity and Clustering) [ppt] [pdf]
12 2020/12/03 語意分析和命名實體識別 (Semantic Analysis and Named Entity Recognition; NER) [ppt] [pdf]
13 2020/12/10 情感分析 (Sentiment Analysis) [ppt] [pdf]
14 2020/12/17 人工智慧文本分析個案研究 II (Case Study on Artificial Intelligence for Text Analytics II)
15 2020/12/24 深度學習和通用句子嵌入模型 (Deep Learning and Universal Sentence-Embedding Models) [ppt] [pdf]
16 2020/12/31 問答系統與對話系統 (Question Answering and Dialogue Systems) [ppt] [pdf]
17 2021/01/07 期末報告 I (Final Project Presentation I)
18 2021/01/14 期末報告 II (Final Project Presentation II)

• 雲端服務架構實務 (Cloud Services Architecting Practices) (MI4, TKU) (Fall 2020)
  (AWS Academy Cloud Foundations; ACF) (AWS Cloud Practitioner, AWS Solutions Architect)
  (MI4, TKU) (2 Credits, Elective) (M2436) (2706)
  (1091) (淡江大學資管四 MI4, TKU) (選修2學分) (2020.09 - 2021.01)
  (週四 Thu, 9, 10, 16:10-18:00) (淡江大學淡水校園 B216)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1 2020/09/17 Course orientation on Cloud Services Architecting Practices [ppt] [pdf]
  2 2020/09/24 Introduction to Cloud computing and Amazon Web Services (AWS) [Secured PPT][Secured PDF]
  3 2020/10/01 中秋節 (Mid-Autumn Festival) 放假一天 (Day off)
  4 2020/10/08 Cloud Economics and Billing, AWS Global Infrastructure [Secured PPT][Secured PDF]
  5 2020/10/15 AWS Cloud Security [Secured PPT][Secured PDF]
  6 2020/10/22 Networking and Content Delivery: Amazon VPC [Secured PPT][Secured PDF]
  7 2020/10/29 Compute: Amazon EC2, Container services, AWS Lambda [Secured PPT][Secured PDF]
  8 2020/11/05 Storage: Amazon EBS, Amazon S3 [Secured PPT][Secured PDF]
  9 2020/11/12 期中上機測驗
  10 2020/11/19 期中考試週
  11 2020/11/26 Databases: Amazon RDS, Amazon DynamoDB [Secured PPT][Secured PDF]
  12 2020/12/03 Cloud Architecture: AWS Well-Architected Framework, Automatic Scaling and Monitoring [Secured PPT][Secured PDF]
  13 2020/12/10 AWS Academy Cloud Architecting (ACA) [Secured PPT][Secured PDF]
  14 2020/12/17 Designing the Network [Secured PPT][Secured PDF]
  15 2020/12/24 Designing for High Availability [Secured PPT][Secured PDF]
  16 2020/12/31 Designing for High Availability with Scaling [Secured PPT][Secured PDF]
  17 2021/01/07 期末上機測驗
  18 2021/01/14 期末考試週
  

• 人工智慧投資分析 (AI for Investment Analysis) (MBA, IMTKU) (Spring 2020)
  (MBA, IMTKU) (2 Credits, Elective) (M2399) (8409)
  (1082) (淡江大學資管所碩士班) (選修2學分) (2020.02 - 2020.06)
  (週三 Wed, 3, 4, 10:10-12:00) (B206)
  
• 人工智慧文本分析 (Artificial Intelligence for Text Analytics) (MBA, IMTKU) (Spring 2020)
  (MBA, IMTKU) (2 Credits, Elective) (M2455) (8410)
  (1082) (淡江大學資管所碩士班) (選修2學分) (2020.02 - 2020.06)
  (週三 Wed, 8, 9, 15:10-17:00) (B605)
  
• 文字探勘 (Text Mining) (MBA, BDABITKU) (Spring 2020)
  (MBA, IMTKU) (3 Credits, Elective) (E3611) (8480)(授課教師：周清江，戴敏育)
  (1082) (淡江大學大數據碩士學程) (選修3學分) (2020.02 - 2020.06)
  (週一 Mon, 7, 8, 9, 14:10-17:00) (B206)
  
• 雲端服務架構實務 (Cloud Services Architecting Practices) (MI4) (Spring 2020)
  (AWS Solutions Architect)
  (MI4, TKU) (2 Credits, Elective) (M2436) (2748)
  (1082) (資管四 MI4) (選修2學分) (2020.02 - 2020.06)
  (週四 Thu, 9, 10, 16:10-18:00) (B113)
  
• 行銷管理 (Marketing Management) (MI3C) (Spring 2020)
  (MI3C) (3 Credits, Required) (M0142) (2720)
  (1082) (資管三C MI3C) (必修3學分) (2020.02 - 2020.06)
  (週二 Tue, 2, 9:10-10:00) (B120), (週四 Thu, 3,4 , 10:00-12:00) (B701)
  
• 巨量資料探勘 (Big Data Mining) (MI4P) (Spring 2020)
  (MI4) (2 Credit, Elective) (M2244) (2744)
  (1082) (資管四 MI4) (選修2學分) (2020.02 - 2020.06)
  (週二 Tue, 3, 4, 10:10-12:00) (B218)
  

• 人工智慧投資分析 (AI for Investment Analysis) (MBA, IMTKU) (Spring 2020)
  (MBA, IMTKU) (2 Credits, Elective) (M2399) (8409)
  (1082) (淡江大學資管所碩士班) (選修2學分) (2020.02 - 2020.06)
  (週三 Wed, 3, 4, 10:10-12:00) (B206)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2020/03/04   人工智慧投資分析課程介紹 (Course Orientation on Artificial Intelligence for Investment Analysis) [ppt] [pdf]
  2   2020/03/11   AI 金融科技: 金融服務創新應用 (AI in FinTech: Financial Services Innovation and Application) [ppt] [pdf]
  3   2020/03/18   機器人理財顧問與AI交談機器人 (Robo-Advisors and AI Chatbots) [ppt] [pdf]
  4   2020/03/25   投資心理學與行為財務學 (Investing Psychology and Behavioral Finance) [ppt] [pdf]
  5   2020/04/01   財務金融事件研究法 (Event Studies in Finance) [ppt] [pdf]
  6   2020/04/08   人工智慧投資分析個案研究 I (Case Study on Artificial Intelligence for Investment Analysis I)
  7   2020/04/15   Python AI投資分析基礎 (Foundations of AI Investment Analysis in Python) [ppt] [pdf]
  8   2020/04/22   Python Pandas 量化投資分析 (Quantitative Investing with Pandas in Python) [ppt] [pdf]
  9   2020/04/29   期中報告 (Midterm Project Report)
  10   2020/05/06   Python Scikit-Learn 機器學習投資分析 (Machine Learning for Investment Analysis with Scikit-Learn In Python) [ppt] [pdf]
  11   2020/05/13   TensorFlow 深度學習投資分析 I (Deep Learning for Investment Analysis with TensorFlow I) [ppt] [pdf]
  12   2020/05/20   TensorFlow 深度學習投資分析 II (Deep Learning for Investment Analysis with TensorFlow II) [ppt] [pdf]
  13   2020/05/27   人工智慧投資分析個案研究 II (Case Study on Artificial Intelligence for Investment Analysis II)
  14   2020/06/03   TensorFlow 深度學習投資分析 III (Deep Learning for Investment Analysis with TensorFlow III) [ppt] [pdf]
  15   2020/06/10   投資組合最佳化與程式交易 (Portfolio Optimization and Algorithmic Trading) [ppt] [pdf]
  16   2020/06/17   期末報告 I (Final Project Presentation I)
  17   2020/06/24   期末報告 II (Final Project Presentation II)
  18   2020/07/01   教師彈性補充教學：Final Report
  

• 人工智慧文本分析 (Artificial Intelligence for Text Analytics) (MBA, IMTKU) (Spring 2020)
  (MBA, IMTKU) (2 Credits, Elective) (M2455) (8410)
  (1082) (淡江大學資管所碩士班) (選修2學分) (2020.02 - 2020.06)
  (週三 Wed, 8, 9, 15:10-17:00) (B605)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2020/03/04   人工智慧文本分析課程介紹 (Course Orientation on Artificial Intelligence for Text Analytics) [ppt] [pdf]
  2   2020/03/11   文本分析的基礎：自然語言處理 (Foundations of Text Analytics: Natural Language Processing; NLP) [ppt] [pdf]
  3   2020/03/18   Python自然語言處理 (Python for Natural Language Processing) [ppt] [pdf]
  4   2020/03/25   處理和理解文本 (Processing and Understanding Text) [ppt] [pdf]
  5   2020/04/01   文本表達特徵工程 (Feature Engineering for Text Representation) [ppt] [pdf]
  6   2020/04/08   人工智慧文本分析個案研究 I (Case Study on Artificial Intelligence for Text Analytics I)
  7   2020/04/15   文本分類 (Text Classification) [ppt] [pdf]
  8   2020/04/22   文本摘要和主題模型 (Text Summarization and Topic Models) [ppt] [pdf]
  9   2020/04/29   期中報告 (Midterm Project Report)
  10   2020/05/06   文本相似度和分群 (Text Similarity and Clustering) [ppt] [pdf]
  11   2020/05/13   語意分析和命名實體識別 (Semantic Analysis and Named Entity Recognition; NER) [ppt] [pdf]
  12   2020/05/20   情感分析 (Sentiment Analysis) [ppt] [pdf]
  13   2020/05/27   人工智慧文本分析個案研究 II (Case Study on Artificial Intelligence for Text Analytics II)
  14   2020/06/03   深度學習和通用句子嵌入模型 (Deep Learning and Universal Sentence-Embedding Models) [ppt] [pdf]
  15   2020/06/10   問答系統與對話系統 (Question Answering and Dialogue Systems) [ppt] [pdf]
  16   2020/06/17   期末報告 I (Final Project Presentation I)
  17   2020/06/24   期末報告 II (Final Project Presentation II)
  18   2020/07/01   教師彈性補充教學：Final Report
  

• 文字探勘 (Text Mining) (MBA, BDABITKU) (Spring 2020)
  (MBA, IMTKU) (3 Credits, Elective) (E3611) (8480)(授課教師：周清江，戴敏育)
  (1082) (淡江大學大數據碩士學程) (選修3學分) (2020.02 - 2020.06)
  (週一 Mon, 7, 8, 9, 14:10-17:00) (B206)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2020/03/02   文字探勘課程介紹 (Course Orientation on Text Mining) [ppt] [pdf]
  2   2020/03/09   文字探勘基礎：自然語言處理 (Foundations of Text Mining: Natural Language Processing; NLP) [ppt] [pdf]
  3   2020/03/16   Python自然語言處理 (Python for Natural Language Processing) [ppt] [pdf]
  4   2020/03/23   處理和理解文本 (Processing and Understanding Text) [ppt] [pdf]
  5   2020/03/30   文本表達特徵工程 (Feature Engineering for Text Representation) [ppt] [pdf]
  6   2020/04/06   人工智慧文本分析個案研究 I (Case Study on Artificial Intelligence for Text Analytics I)
  7   2020/04/13   文本分類 (Text Classification) [ppt] [pdf]
  8   2020/04/20   文本摘要和主題模型 (Text Summarization and Topic Models) [ppt] [pdf]
  9   2020/04/27   期中報告 (Midterm Project Report)
  10   2020/05/04   文本相似度和分群 (Text Similarity and Clustering) [ppt] [pdf]
  11   2020/05/11   語意分析和命名實體識別 (Semantic Analysis and Named Entity Recognition; NER) [ppt] [pdf]
  12   2020/05/18   情感分析 (Sentiment Analysis) [ppt] [pdf]
  13   2020/05/25   人工智慧文本分析個案研究 II (Case Study on Artificial Intelligence for Text Analytics II)
  14   2020/06/01   深度學習和通用句子嵌入模型 (Deep Learning and Universal Sentence-Embedding Models) [ppt] [pdf]
  15   2020/06/08   問答系統與對話系統 (Question Answering and Dialogue Systems) [ppt] [pdf]
  16   2020/06/15   期末報告 I (Final Project Presentation I)
  17   2020/06/22   期末報告 II (Final Project Presentation II)
  18   2020/06/29   教師彈性補充教學：Final Report
  

• 雲端服務架構實務 (Cloud Services Architecting Practices) (MI4) (Spring 2020)
  (AWS Solutions Architect)
  (MI4, TKU) (2 Credits, Elective) (M2436) (2748)
  (1082) (資管四 MI4) (選修2學分) (2020.02 - 2020.06)
  (週四 Thu, 9, 10, 16:10-18:00) (B113)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2020/03/05   Course orientation on Cloud Services Architecting Practices: AWS Solutions Architect Overview [ppt] [pdf] [Secured PPT][Secured PDF]
  2   2020/03/12   Automating Your Infrastructure [Secured PPT][Secured PDF]
  3   2020/03/19   Decoupling Your Infrastructure [Secured PPT][Secured PDF]
  4   2020/03/26   Designing Web-Scale Media [Secured PPT][Secured PDF]
  5   2020/04/02   清明節補假 (放假一天)
  6   2020/04/09   Well-Architected Framework [Secured PPT][Secured PDF]
  7   2020/04/16   Well-Architected Pillar 1 - Operational Excellence [Secured PPT][Secured PDF]
  8   2020/04/23   Well-Architected Pillar 2 - Security [Secured PPT][Secured PDF]
  9   2020/04/30   期中考試週
  10   2020/05/07   Well-Architected Pillar 3 - Reliability [Secured PPT][Secured PDF]
  11   2020/05/14   Well-Architected Pillar 4 - Performance Efficiency [Secured PPT][Secured PDF]
  12   2020/05/21   Well-Architected Pillar 5 - Cost-Optimization [Secured PPT][Secured PDF]
  13   2020/05/28   Troubleshooting, Design Patterns and Sample Architectures [Secured PPT][Secured PDF]
  14   2020/06/04   畢業考試週
  15   2020/06/11   教師彈性補充教學：Final Report
  

• 行銷管理 (Marketing Management) (MI3C) (Spring 2020)
  (MI3C) (3 Credits, Required) (M0142) (2720)
  (1082) (資管三C MI3C) (必修3學分) (2020.02 - 2020.06)
  (週二 Tue, 2, 9:10-10:00) (B120), (週四 Thu, 3,4 , 10:00-12:00) (B701)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2020/03/03,05   課程介紹 + Ch 1. 界定新紀元的行銷 [ppt][pdf] [Secured PPT][Secured PDF]
  2   2020/03/10,12   Ch 1. 界定新紀元的行銷   [線上非同步教學]
  3   2020/03/17,19   Ch 2. 發展行銷策略與計畫 (Electrolux) [Secured PPT][Secured PDF]
  4   2020/03/24,26   Ch 5. 建立長期忠誠關係 (Harley-Davidson) [Secured PPT][Secured PDF]
  5   2020/03/31   Ch 5. 建立長期忠誠關係   [線上非同步教學]
  6   2020/04/07,09   Ch 6. 分析消費者市場 (IKEA) [Secured PPT][Secured PDF]
  7   2020/04/14,16   Ch 9. 確認市場區隔與目標市場 (HSBC) [Secured PPT][Secured PDF]
  8   2020/04/21,23   Ch 9. 確認市場區隔與目標市場   [線上非同步教學]
  9   2020/04/28,30   期中考試週
  10   2020/05/05,07   Ch 10. 打造品牌定位 (Nespresso) [Secured PPT][Secured PDF]
  11   2020/05/12,14   Ch 13. 設計產品策略 (Nivea) [Secured PPT][Secured PDF]
  12   2020/05/19,21   Ch 20. 大眾溝通的管理：廣告、促銷、事件與體驗及 公共關係 (Evian) [Secured PPT][Secured PDF]
  13   2020/05/26,28   Ch 21. 數位溝通的管理：線上、社群媒體與行動裝置 (Facebook) [Secured PPT][Secured PDF]
  14   2020/06/02,04   Ch 21. 數位溝通的管理：線上、社群媒體與行動裝置   [線上非同步教學]
  15   2020/06/09,11   Final Report I
  16   2020/06/16,18   Final Report II
  17   2020/06/23,25   期末考試週
  18   2020/06/30,07/02   教師彈性補充教學：Final Report   
  
  

• 巨量資料探勘 (Big Data Mining) (MI4P) (Spring 2020)
  (MI4) (2 Credit, Elective) (M2244) (2744)
  (1082) (資管四 MI4) (選修2學分) (2020.02 - 2020.06)
  (週二 Tue, 3, 4, 10:10-12:00) (B218)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2020/03/03   巨量資料探勘課程介紹 (Course Orientation for Big Data Mining) [ppt][pdf]
  2   2020/03/10   AI人工智慧與大數據分析 (Artificial Intelligence and Big Data Analytics) [ppt][pdf]
  3   2020/03/17   分群分析 (Cluster Analysis) [ppt][pdf]
  4   2020/03/24   個案分析與實作一 (SAS EM 分群分析)： Case Study 1 (Cluster Analysis - K-Means using SAS EM) [ppt][pdf]
  5   2020/03/31   關連分析 (Association Analysis) [ppt][pdf]
  6   2020/04/07   個案分析與實作二 (SAS EM 關連分析)： Case Study 2 (Association Analysis using SAS EM) [ppt][pdf]
  7   2020/04/14   分類與預測 (Classification and Prediction) [ppt][pdf]
  8   2020/04/21   期中報告 (Midterm Project Presentation)
  9   2020/04/28   期中考試週
  10   2020/05/05   個案分析與實作三 (SAS EM 決策樹、模型評估)：Case Study 3 (Decision Tree, Model Evaluation using SAS EM) [ppt][pdf]
  11   2020/05/12   個案分析與實作四 (SAS EM 迴歸分析、類神經網路)：Case Study 4 (Regression Analysis, Artificial Neural Network using SAS EM) [ppt][pdf]
  12   2020/05/19   機器學習與深度學習 (Machine Learning and Deep Learning) [ppt][pdf]
  13   2020/05/26   期末報告 (Final Project Presentation)
  14   2020/06/02   畢業考試週
  15   2020/06/09   教師彈性補充教學：Final Report
  
  
  
  
  
• References:  
  1. SAS Resource  
  2. SAS Enterprise Guide (SAS EG)  [Secured Data]
  3. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  4. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  5. SASMining2012 Final List [pdf]

• 智慧金融大數據分析 (AI in Finance Big Data Analytics) (MBA, DBETKU) (Fall 2019)
  (MBA, DBETKU) (3 Credits, Elective) [Full English Course] [Distance Learning]
  (1081) (淡江大學數位商務與經濟碩士學位學程) (選修3學分) [全英語授課][遠距教學] (2019.09 - 2020.01)
  (週二 Tue, 2, 3, 4, 9:10-12:00) (B1012)
  
• 人工智慧財務金融應用 (AI in Financial Application) (EMBA, IMTKU) (Fall 2019)
  (EMBA, IMTKU) (3 Credits, Elective)
  (1081) (淡江大學資管所碩士在職專班) (選修3學分) (2019.09 - 2020.01)
  (週五 Fri, 12, 13, 14, 19:20-22:10) (D301) (淡江大學台北校園，東門捷運站步行5分鐘)
  
• 雲端服務架構實務 (Cloud Services Architecting Practices) (MI4) (Fall 2019)
  (AWS Academy Cloud Foundations; ACF) (AWS Cloud Practitioner, AWS Solutions Architect)
  (MI4, TKU) (2 Credits, Elective)
  (1081) (資管四 MI4) (選修2學分) (2019.09 - 2020.01)
  (週四 Thu, 9, 10, 16:10-18:00) (B113)
  
• 資訊數位服務 (Digital Information Services) (MI3) (Fall 2019)
  (MI3, TKU) (2 Credits, Elective)
  (1081) (資管三 MI3) (選修2學分) (2019.09 - 2020.01)
  (週六 Sat, 3, 4, 10:10-12:00) (B502)
  
• 大學學習 (Learning in University) (MI1B) (Fall 2019)
  (MI1B, TKU) (2 Credits, Elective)
  (1081) (資管一B MI1B) (必修1學分) (2019.09 - 2020.01)
  (週二 Tue, 5, 12:10-13:00) (B614)
  
  

• AI in Finance Big Data Analytics (MBA, DBETKU) (Fall 2019)
  (MBA, DBETKU) (3 Credits, Elective) [Full English Course] [Distance Learning]
  (1081) (2019.09 - 2020.01)
  (Tue, 2, 3, 4, 9:10-12:00) (B1012)
  
• Week   Date   Subject/Topics
  1   2019/09/10   Course Orientation on AI in Finance Big Data Analytics [ppt] [pdf]
  2   2019/09/17   AI in FinTech: Financial Services Innovation and Application [ppt] [pdf]
  3   2019/09/24   ABC: AI, Big Data, Cloud Computing [ppt] [pdf]
  4   2019/10/01   Business Models of Fintech [ppt] [pdf]
  5   2019/10/08   Event Studies in Finance [ppt] [pdf]
  6   2019/10/15   Case Study on AI in Finance Big Data Analytics I
  7   2019/10/22   Foundations of AI in Finance Big Data Analytics with Python [ppt] [pdf]
  8   2019/10/29   Case Study on Financial Industry Practice I [Invited Talk: Artificial Intelligence in Financial Service, Invited Speaker: Shihyu (Alex) Chu, Senior Industry Analyst/Program Manager, Market Intelligence & Consulting Institute (MIC)]
  9   2019/11/05   Quantitative Investing with Pandas in Python [ppt] [pdf]
  10   2019/11/12   Midterm Project Report
  11   2019/11/19   Machine Learning in Finance Application with Scikit-Learn in Python [ppt] [pdf]
  12   2019/11/26   Deep Learning for Financial Time Series Forecasting with TensorFlow I [ppt] [pdf]
  13   2019/12/03   Case Study on AI in Finance Big Data Analytics II
  14   2019/12/10   Deep Learning for Financial Time Series Forecasting with TensorFlow II [ppt] [pdf]
  15   2019/12/17   Case Study on Financial Industry Practice II [Invited Talk: Artificial Intelligence in Index and Quantitative Investing, Invited Speaker: Jervis J.G. Li, Analyst / Intelligent Portfolio Manager, Yuanta SITC]
  16   2019/12/24   Deep Learning for Financial Time Series Forecasting with TensorFlow III [ppt] [pdf]
  17   2019/12/31   Final Project Presentation I
  18   2020/01/07   Final Project Presentation II
  

• 人工智慧財務金融應用 (AI in Financial Application) (EMBA, IMTKU) (Fall 2019)
  (EMBA, IMTKU) (3 Credits, Elective)
  (1081) (淡江大學資管所碩士在職專班) (選修3學分) (2019.09 - 2020.01)
  (週五 Fri, 12, 13, 14, 19:20-22:10) (D301) (淡江大學台北校園，東門捷運站步行5分鐘)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2019/09/13   中秋節 (Mid-Autumn Festival) 放假一天 (Day off)
  2   2019/09/20   人工智慧財務金融應用課程介紹 (Course Orientation for AI in Financial Application) [ppt] [pdf]
  3   2019/09/27   人工智慧投資分析與機器人理財顧問 (Artificial Intelligence for Investment Analysis and Robo-Advisors) [ppt] [pdf]
  4   2019/10/04   金融科技對話式商務與智慧型交談機器人 (Conversational Commerce and Intelligent Chatbots for Fintech) [ppt] [pdf]
  5   2019/10/11   國慶日補假 (Bridge Holiday for National Day, Extra Day Off)
  6   2019/10/18   財務金融事件研究法 (Event Studies in Finance) [ppt] [pdf]
  7   2019/10/25   人工智慧財務金融應用個案研究 I (Case Study on AI in Financial Application I)
  8   2019/11/01   Python AI智慧金融分析基礎 (Foundations of AI in Finance Big Data Analytics with Python) [ppt] [pdf]
  9   2019/11/08   Python Pandas 量化投資分析 (Quantitative Investing with Pandas in Python) [ppt] [pdf]
  10   2019/11/15   期中報告 (Midterm Project Report)
  11   2019/11/22   Python Scikit-Learn 機器學習財務金融應用 (Machine Learning in Finance Application with Scikit-Learn in Python) [ppt] [pdf]
  12   2019/11/29   TensorFlow 深度學習財務金融應用I (Deep Learning for Finance Application with TensorFlow I) [ppt] [pdf]
  13   2019/12/06   人工智慧財務金融應用個案研究 II (Case Study on AI in Financial Application II)
  14   2019/12/13   TensorFlow 深度學習財務金融應用II (Deep Learning for Finance Application with TensorFlow II) [ppt] [pdf]
  15   2019/12/20   TensorFlow 深度學習財務金融應用III (Deep Learning for Finance Application with TensorFlow III) [ppt] [pdf]
  16   2019/12/27   社會網絡分析財務金融應用 (Social Network Analysis for Finance Application) [ppt] [pdf]
  17   2020/01/03   期末報告 I (Final Project Presentation I)
  18   2020/01/10   期末報告 II (Final Project Presentation II)
  

• 雲端服務架構實務 (Cloud Services Architecting Practices) (MI4) (Fall 2019)
  (AWS Academy Cloud Foundations; ACF) (AWS Cloud Practitioner, AWS Solutions Architect)
  (MI4, TKU) (2 Credits, Elective)
  (1081) (資管四 MI4) (選修2學分) (2019.09 - 2020.01)
  (週四 Thu, 9, 10, 16:10-18:00) (B113)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2019/09/12   Course orientation on Cloud Services Architecting Practices [ppt] [pdf]
  2   2019/09/19   Introduction to Cloud Computing [Secured PPT][Secured PDF]
  3   2019/09/26   Getting Started with AWS: AWS Compute, Storage, and Networking [Secured PPT][Secured PDF]
  4   2019/10/03   Creating Amazon EC2 instances with Microsoft Windows [Secured PPT][Secured PDF]
  5   2019/10/10   國慶日放假
  6   2019/10/17   Build Your Virtual Private Cloud (VPC) and Launch a Web Server, Working with Amazon Elastic Block Store (EBS) [Secured PPT][Secured PDF]
  7   2019/10/24   AWS Security, Identity, and Access Management: Introduction to AWS Identity and Access Management (IAM) [Secured PPT][Secured PDF]
  8   2019/10/31   AWS Database Options: Build Your Database Server and Interact with Your Database using an Application [Secured PPT][Secured PDF]
  9   2019/11/07   AWS Elasticity and Management Tools: Scale and Load Balance Your Architecture [Secured PPT][Secured PDF]
  10   2019/11/14   期中考試週
  11   2019/11/21   Architecting on AWS: Introduction to System Design [Secured PPT][Secured PDF]
  12   2019/11/28   Cloud Billing and Support Services [Secured PPT][Secured PDF]
  13   2019/12/05   Designing Your Environment and Deploy a Web Application on AWS [Secured PPT][Secured PDF]
  14   2019/12/12   Group discussion: Forklift an Existing Application onto AWS [Secured PPT][Secured PDF]
  15   2019/12/19   System Design for High Availability (Part I) [Secured PPT][Secured PDF]
  16   2019/12/26   Making Your Environment Highly Available [Secured PPT][Secured PDF]
  17   2020/01/02   System Design for High Availability (Part II) [Secured PPT][Secured PDF]
  18   2020/01/09   期末考試週
  

• 資訊數位服務 (Digital Information Services) (MI3) (Fall 2019)
  (MI3, TKU) (2 Credits, Elective)
  (1081) (資管三 MI3) (選修2學分) (2019.09 - 2020.01)
  (週六 Sat, 3, 4, 10:10-12:00) (B502)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2019/09/14   課程介紹 講解課程大綱，專業理論講述。[準備階段] [ppt] [pdf]
  2   2019/09/21   課程學習，校外服務(前置期) 分組及確立服務工作推展細部計畫與工作分配。服務方案資料蒐整。 [準備階段]
  3   2019/09/28   課程學習，校外服務(前置期) 建立淡江大學與服務對象間的聯絡管道，進行初步意願確認。服務方案資料蒐整。 [準備階段]
  4   2019/10/05   課程學習，校外服務(探索期) 訪談服務對象，了解其系統需求。服務方案資料蒐整，服務方案設計。 [準備階段]
  5   2019/10/12   課程學習，校外服務(探索期) 訪談服務對象，了解其系統需求。服務方案資料蒐整，服務方案設計。 [準備階段]
  6   2019/10/19   課程學習，校外服務 討論與反思 檢討目前進度。 [反思階段]
  7   2019/10/26   課程學習，校外服務(建置期) 開發及測試相關系統。服務方案執行與討論。[服務階段]
  8   2019/11/02   課程學習，校外服務(建置期) 開發及測試相關系統。服務方案執行與討論。[服務階段]
  9   2019/11/09   課程學習，校外服務(建置期) 開發及測試相關系統。服務方案執行與討論。期中評量（繳交報告）[服務階段]
  10   2019/11/16   期中考試週
  11   2019/11/23   課程學習，校外服務(建置期) 開發及測試相關系統。服務方案執行與討論。[服務階段]
  12   2019/11/30   課程學習，校外服務(建置期) 開發及測試相關系統。服務方案執行與討論。[服務階段]
  13   2019/12/07   課程學習，校外服務(教育訓練及維護期) 進行教育訓練及系統維護。服務方案執行與討論。[服務階段]
  14   2019/12/14   課程學習，校外服務(教育訓練及維護期) 進行教育訓練及系統維護。服務方案執行與討論。[服務階段]
  15   2019/12/21   課程學習，校外服務 討論與反思 服務方案評估，服務歷程反思。[反思階段]
  16   2019/12/28   課程學習，校外服務 討論與反思 服務方案評估，服務歷程反思。[反思階段]
  17   2020/01/04   課程學習，校外服務 課程回顧，服務經驗交流與分享。期末評量（繳交報告） [慶賀階段]
  18   2020/01/11   期末考試週
  
  
  
  
• 參考資料：
  (1) 2019 淡江大學資管系專業知能深化服務學習課程計畫書：資訊數位服務 [Secured PDF]
  (2) 2012 新北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [NTPC DV Magazine 2012]
  (3) 2011 新北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [pdf] [pdf] [NTPC DV Magazine 2011]
  

• 大學學習 (Learning in University) (MI1B) (Fall 2019)
  (MI1B, TKU) (2 Credits, Elective)
  (1081) (資管一B MI1B) (必修1學分) (2019.09 - 2020.01)
  (週二 Tue, 5, 12:10-13:00) (B614)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2019/09/10   課程介紹(大學學習之意義等) [導師] 大學學習線上課程]
  2   2019/09/17   本校法規(含導師規劃)、本系相關訊息介紹 [導師]
  3   2019/09/24   認識校園資訊服務（原教室上課） [資訊處]
  4   2019/10/01   課堂活動學習單：知心的溝通表達 [導師]
  5   2019/10/08   課堂活動學習單：簡報架簡單 [導師]
  6   2019/10/15   新鮮人心靈掃瞄之一 [諮商輔導組]
  7   2019/10/22   圖書館利用素養(一)-認識圖書館 [圖書館]
  8   2019/10/29   圖書館利用素養(二)-善用電子資源 [圖書館]
  9   2019/11/05   彈性課程 [導師]
  10   2019/11/12   期中考試週
  11   2019/11/19   新鮮人心靈掃瞄之二 [諮商輔導組]
  12   2019/11/26   UCAN－You can do it. [諮商輔導組]
  13   2019/12/03   課堂活動學習單：時間大玩家 [導師]
  14   2019/12/10   導師播放「未來觀觀未來」影片 [導師] [Moodle]
  15   2019/12/17   學習規劃與指導 [導師]
  16   2019/12/24   生涯規劃與指導 [導師]
  17   2019/12/31   課程總結、成果驗收（線上課程結束） [導師]
  18   2020/01/07   期末考試週
  

• 行銷管理 (Marketing Management) (MI3A) (Spring 2019)
  (MI3A) (3 Credits, Required) (M0142) (2821)
  (1072) (資管三A MI3A) (必修3學分) (2019.02-2019.06)
  (週二 Tue, 3, 4, 10:10-12:00) (B602), (週四 Thu, 8, 15:10-16:00) (B508)
  
• 行銷管理 (Marketing Management) (MI3C) (Spring 2019)
  (MI3C) (3 Credits, Required) (M0142) (2823)
  (1072) (資管三C MI3C) (必修3學分) (2019.02-2019.06)
  (週二 Tue, 2, 9:10-10:00) (B607), (週三 Wed, 3, 4, 10:10-12:00) (B118)
  
• 巨量資料探勘 (Big Data Mining) (MI4P) (Spring 2019)
  (MI4) (2 Credit, Elective) (M2244) (2849)
  (1072) (資管四 MI4) (選修2學分) (2019.02-2019.06)
  (週三 Wed, 6, 7, 13:10-15:00) (B206)
  

• 行銷管理(Marketing Management) (MI3A) (Spring 2019)
  (MI3A) (3 Credits, Required) (M0142) (2821)
  (1072) (資管三A MI3A) (必修3學分) (2019.02-2019.06)
  (週二 Tue, 3, 4, 10:10-12:00) (B602), (週四 Thu, 8, 15:10-16:00) (B508)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2019/02/19, 02/21   Introduction to Marketing Management [ppt][pdf]
  2   2019/02/26             Defining Marketing for the New Realities, Developing Marketing Strategies and Plans (Nike) [Secured PPT][Secured PDF]
  3   2019/03/05, 03/07   Collecting Information and Forecasting Demand, Conducting Marketing Research (Microsoft) [Secured PPT][Secured PDF]
  4   2019/03/12, 03/14   Creating Long-term Loyalty Relationships, Analyzing Consumer Markets (Disney) [Secured PPT][Secured PDF]
  5   2019/03/19, 03/21   Analyzing Business Markets, Tapping into Global Markets (Accenture) [Secured PPT][Secured PDF]
  6   2019/03/26, 03/28   Identifying Market Segments and Targets, Crafting the Brand Positioning (HSBC) [Secured PPT][Secured PDF]
  7   2019/04/02, 04/04   Off-campus study (教學行政觀摩日)
  8   2019/04/09, 04/11   Creating Brand Equity, Addressing Competition and Driving Growth (McDonald’s) [Secured PPT][Secured PDF]
  9   2019/04/16, 04/18   Midterm Report (期中報告)
  10   2019/04/23, 04/25   Midterm Exam Week (期中考試週)
  11   2019/04/30, 05/02   Setting Product Strategy, Designing and Managing Services (Toyota) [Secured PPT][Secured PDF]
  12   2019/05/07, 05/09   Introducing New Market Offerings, Developing Pricing Strategies and Programs (Salesforce.com) [Secured PPT][Secured PDF]
  13   2019/05/14, 05/16   Delivering Value: Designing and Managing Integrated Marketing Channels (Zara) [Secured PPT][Secured PDF]
  14   2019/05/21, 05/23   Communicating Value: Designing and Managing Integrated Marketing Communications (Evian) [Secured PPT][Secured PDF]
  15   2019/05/28, 05/30   Managing a Holistic Marketing Organization for the Long Run (Starbucks) [Secured PPT][Secured PDF]
  16   2019/06/04, 06/06   Final Report I (期末報告 I)
  17   2019/06/11, 06/13   Final Report II (期末報告 II)
  18   2019/06/18, 06/20   Final Exam Week (期末考試週)
  
  
  
• Ref: 1072/Case/Case

• 行銷管理 (Marketing Management) (MI3C) (Spring 2019)
  (MI3C) (3 Credits, Required) (M0142) (2823)
  (1072) (資管三C MI3C) (必修3學分) (2019.02-2019.06)
  (週二 Tue, 2, 9:10-10:00) (B607), (週三 Wed, 3, 4, 10:10-12:00) (B118)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2019/02/19, 02/20   Introduction to Marketing Management [ppt][pdf]
  2   2019/02/26, 02/27   Defining Marketing for the New Realities, Developing Marketing Strategies and Plans (Nike) [Secured PPT][Secured PDF]
  3   2019/03/05, 03/06   Collecting Information and Forecasting Demand, Conducting Marketing Research (Microsoft) [Secured PPT][Secured PDF]
  4   2019/03/12, 03/13   Creating Long-term Loyalty Relationships, Analyzing Consumer Markets (Disney) [Secured PPT][Secured PDF]
  5   2019/03/19, 03/20   Analyzing Business Markets, Tapping into Global Markets (Accenture) [Secured PPT][Secured PDF]
  6   2019/03/26, 03/27   Identifying Market Segments and Targets, Crafting the Brand Positioning (HSBC) [Secured PPT][Secured PDF]
  7   2019/04/02, 04/03   Off-campus study (教學行政觀摩日)
  8   2019/04/09, 04/10   Creating Brand Equity, Addressing Competition and Driving Growth (McDonald’s) [Secured PPT][Secured PDF]
  9   2019/04/16, 04/17   Midterm Report (期中報告)
  10   2019/04/23, 04/24   Midterm Exam Week (期中考試週)
  11   2019/04/30, 05/01   Setting Product Strategy, Designing and Managing Services (Toyota) [Secured PPT][Secured PDF]
  12   2019/05/07, 05/08   Introducing New Market Offerings, Developing Pricing Strategies and Programs (Salesforce.com) [Secured PPT][Secured PDF]
  13   2019/05/14, 05/15   Delivering Value: Designing and Managing Integrated Marketing Channels (Zara) [Secured PPT][Secured PDF]
  14   2019/05/21, 05/22   Communicating Value: Designing and Managing Integrated Marketing Communications (Evian) [Secured PPT][Secured PDF]
  15   2019/05/28, 05/29   Managing a Holistic Marketing Organization for the Long Run (Starbucks) [Secured PPT][Secured PDF]
  16   2019/06/04, 06/05   Final Report I (期末報告 I)
  17   2019/06/11, 06/12   Final Report II (期末報告 II)
  18   2019/06/18, 06/19   Final Exam Week (期末考試週)
  

• 巨量資料探勘(Big Data Mining) (MI4P) (Spring 2019)
  (MI4) (2 Credit, Elective) (M2244) (2849)
  (1072) (資管四 MI4) (選修2學分) (2019.02-2019.06)
  (週三 Wed, 6, 7, 13:10-15:00) (B206)
  
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2019/02/20   巨量資料探勘課程介紹 (Course Orientation for Big Data Mining) [ppt][pdf]
  2   2019/02/27   AI人工智慧與大數據分析 (Artificial Intelligence and Big Data Analytics) [ppt][pdf]
  3   2019/03/06   分群分析 (Cluster Analysis) [ppt][pdf]
  4   2019/03/13   個案分析與實作一 (SAS EM 分群分析)： Case Study 1 (Cluster Analysis - K-Means using SAS EM) [ppt][pdf]
  5   2019/03/20   關連分析 (Association Analysis) [ppt][pdf]
  6   2019/03/27   個案分析與實作二 (SAS EM 關連分析)： Case Study 2 (Association Analysis using SAS EM) [ppt][pdf]
  7   2019/04/03   教學行政觀摩日 (Off-campus study)
  8   2019/04/10   分類與預測 (Classification and Prediction) [ppt][pdf]
  9   2019/04/17   期中報告 (Midterm Project Presentation)
  10   2019/04/24   期中考試週 (Midterm Exam)
  11   2019/05/01   個案分析與實作三 (SAS EM 決策樹、模型評估)： Case Study 3 (Decision Tree, Model Evaluation using SAS EM) [ppt][pdf]
  12   2019/05/08   個案分析與實作四 (SAS EM 迴歸分析、類神經網路)：Case Study 4 (Regression Analysis, Artificial Neural Network using SAS EM) [ppt][pdf]
  13   2019/05/15   機器學習與深度學習驅動精準行銷 (Data-Driven Precision Marketing with Machine Learning and Deep Learning) [Invited Talk: Irene Chen, Senior Enterprise Solution Project Manager, iKala]
  14   2019/05/22   期末報告 (Final Project Presentation)
  15   2019/05/29   畢業考試週 (Final Exam)
  
  
  
  
• References:  
  1. SAS Resource  
  2. SAS Enterprise Guide (SAS EG)  [Secured Data]
  3. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  4. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  5. SASMining2012 Final List [pdf]

• 人工智慧投資分析 (Artificial Intelligence for Investment Analysis) (EMBA, IMTKU) (Fall 2018)
  (EMBA, IMTKU) (3 Credits, Elective) (M2399) (8540)
  (1071) (淡江大學資管所碩士在職專班) (選修3學分) (2018.09-2019.01)
  (週四 Thu, 12,13,14, 19:20-22:10) (D503)
  
• 社群網路應用程式設計 (Social Media Apps Programming) (MBA, IMTKU) (Fall 2018)
  (MBA, IMTKU) (2 Credits, Elective) (M2143) (8550) [Full English Course]
  (1071) (淡江大學資管所碩士班) (選修2學分) [全英語授課] (2018.09-2019.01)
  (週四 Thu, 3, 4, 10:10-12:00) (B206)
  
• 巨量資料探勘 (Big Data Mining) (MBA, DBETKU) (Fall 2018)
  (MBA, DBETKU) (3 Credits, Required)  (M2244) (8619)  [Full English Course]
  (1071) (淡江大學數位商務與經濟碩士學位學程) (必修3學分) [全英語授課] (2018.09-2019.01)
  (週一 Mon, 9, 10, 11, 16:10-19:00)  (B206)
  
• 商業智慧實務 (Practices of Business Intelligence) (MI4) (Fall 2018)
  (MI4) (2 Credits, Elective) (M2084) (2888)
  (1071) (資管四 MI4) (選修2學分) (2018.09-2019.01)
  (週三 Wed, 7, 8, 14:10-16:00)  (B217)
  
• 資訊數位服務 (Digital Information Services) (MI3) (Fall 2018)
  (MI3) (2 Credits, Elective)  (M1891) (2863)
  (1071) (資管三 MI3) (選修2學分) (2018.09-2019.01)
  (週六 Sat, 3, 4, 10:10-12:00)  (B502)

• 人工智慧投資分析 (Artificial Intelligence for Investment Analysis) (EMBA, IMTKU) (Fall 2018)
  (EMBA, IMTKU) (3 Credits, Elective) (M2399) (8540)
  (1071) (淡江大學資管所碩士在職專班) (選修3學分) (2018.09-2019.01)
  (週四 Thu, 12,13,14, 19:20-22:10) (D503)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2018/09/13    人工智慧投資分析課程介紹 (Course Orientation on Artificial Intelligence for Investment Analysis) [ppt] [pdf]
  2    2018/09/20    AI 金融科技: 金融服務創新應用 (AI in FinTech: Financial Services Innovation and Application) [ppt] [pdf]
  3    2018/09/27    機器人理財顧問與AI交談機器人 (Robo-Advisors and AI Chatbots) [ppt] [pdf]
  4    2018/10/04    投資心理學與行為財務學 (Investing Psychology and Behavioral Finance) [ppt] [pdf]
  5    2018/10/11    財務金融事件研究法 (Event Studies in Finance) [ppt] [pdf]
  6    2018/10/18    人工智慧投資分析個案研究 I (Case Study on Artificial Intelligence for Investment Analysis I)
  7    2018/10/25    Python AI投資分析基礎 (Foundations of AI Investment Analysis in Python) [ppt] [pdf]
  8    2018/11/01    Python Pandas量化投資分析 (Quantitative Investing with Pandas in Python) [ppt] [pdf]
  9    2018/11/08    Python Scikit-Learn 機器學習 (Machine Learning with Scikit-Learn In Python) [ppt] [pdf]
  10    2018/11/15    期中報告 (Midterm Project Report)
  11    2018/11/22    TensorFlow 深度學習財務時間序列預測 I (Deep Learning for Financial Time Series Forecasting with TensorFlow I) [Invited Talk: Prof. I-Cheng Yeh, 1 2 3 4]
  12    2018/11/29    TensorFlow 深度學習財務時間序列預測 II (Deep Learning for Financial Time Series Forecasting with TensorFlow II) [ppt] [pdf]
  13    2018/12/06    人工智慧投資分析個案研究 II (Case Study on Artificial Intelligence for Investment Analysis II)
  14    2018/12/13    TensorFlow 深度學習財務時間序列預測 III (Deep Learning for Financial Time Series Forecasting with TensorFlow III) [ppt] [pdf]
  15    2018/12/20    投資組合最佳化與程式交易 (Portfolio Optimization and Algorithmic Trading) [ppt] [pdf]
  16    2018/12/27    自然語言處理 (Natural Language Processing) [ppt] [pdf]
  17    2019/01/03    期末報告 I (Final Project Presentation I)
  18    2019/01/10    期末報告 II (Final Project Presentation II)

• Social Media Apps Programming (MBA, IMTKU) (Fall 2018)
  (MBA, IMTKU) (2 Credits, Elective) (M2143) (8550) [Full English Course]
  (1071) (2018.09-2019.01)
  (Thu, 3, 4, 10:10-12:00) (B206)
• Week    Date    Subject/Topics
  1    2018/09/13    Course Orientation and Introduction to Social Media and Mobile Apps Programming [ppt] [pdf]
  2    2018/09/20    Introduction to Android / iOS Apps Programming [ppt] [pdf]
  3    2018/09/27    Developing Android Native Apps with Java (Android Studio) [ppt] [pdf]
  4    2018/10/04    Developing iPhone / iPad Native Apps with Swift (XCode) [ppt] [pdf]
  5    2018/10/11    Mobile Apps using HTML5/CSS3/JavaScript [ppt] [pdf]
  6    2018/10/18    jQuery Mobile [ppt] [pdf]
  7    2018/10/25    Create Hybrid Apps with Phonegap [ppt] [pdf]
  8    2018/11/01    jQuery Mobile/Phonegap [ppt] [pdf]
  9    2018/11/08    jQuery Mobile/Phonegap [ppt] [pdf]
  10    2018/11/15    Midterm Exam Week / Project Presentation
  11    2018/11/22    Case Study on Social Media Apps Programming and Marketing in Google Play and App Store [ppt] [pdf]
  12    2018/11/29    Google Cloud Platform [ppt] [pdf]
  13    2018/12/06    Google App Engine [ppt] [pdf]
  14    2018/12/13    Google Map API [ppt] [pdf]
  15    2018/12/20    Facebook API (Facebook JavaScript SDK)(Integrate Facebook with iOS/Android Apps) [ppt] [pdf]
  16    2018/12/27    Twitter API [ppt] [pdf]
  17    2019/01/03    Final Project Presentation
  18    2019/01/10    Final Exam Week / Final Project Presentation
  

• Big Data Mining (MBA, DBETKU) (Fall 2018) (2018.09-2019.01)
  (MBA, DBETKU) (3 Credits, Required) (M2244) (8619) [Full English Course]
  (1071) (Master’s Program in Digital Business and Economics)
  (Mon, 9, 10, 11, 16:10-19:00) (B206)
• Week    Date    Subject/Topics
  1    2018/09/10    Course Orientation for Big Data Mining [ppt] [pdf]
  2    2018/09/17    ABC: AI, Big Data, Cloud Computing [ppt] [pdf]
  3    2018/09/24    Mid-Autumn Festival (Day off)
  4    2018/10/01    Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data [ppt] [pdf]
  5    2018/10/08    Fundamental Big Data: MapReduce Paradigm, Hadoop and Spark Ecosystem [ppt] [pdf]
  6    2018/10/15    Foundations of Big Data Mining in Python [ppt] [pdf]
  7    2018/10/22    Supervised Learning: Classification and Prediction [ppt] [pdf]
  8    2018/10/29    Unsupervised Learning: Cluster Analysis [ppt] [pdf]
  9    2018/11/05    Unsupervised Learning: Association Analysis [ppt] [pdf]
  10    2018/11/12    Midterm Project Report
  11    2018/11/19    Machine Learning with Scikit-Learn in Python [ppt] [pdf]
  12    2018/11/26    Deep Learning for Finance Big Data with TensorFlow [ppt] [pdf]
  13    2018/12/03    Convolutional Neural Networks [ppt] [pdf]
  14    2018/12/10    Recurrent Neural Networks [ppt] [pdf]
  15    2018/12/17    Reinforcement Learning [ppt] [pdf]
  16    2018/12/24    Social Network Analysis [ppt] [pdf]
  17    2018/12/31    Bridge Holiday (Extra Day Off)
  18    2019/01/07    Final Project Presentation
  
  

• 商業智慧實務 (Practices of Business Intelligence) (MI4) (Fall 2018)
  (MI4) (2 Credits, Elective) (M2084) (2888)
  (1071) (資管四 MI4) (選修2學分) (2018.09-2019.01)
  (週三 Wed, 7, 8, 14:10-16:00)  (B217)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2018/09/12    商業智慧實務課程介紹 (Course Orientation for Practices of Business Intelligence) [ppt] [pdf]
  2    2018/09/19    商業智慧、分析與資料科學 (Business Intelligence, Analytics, and Data Science) [ppt] [pdf]
  3    2018/09/26    人工智慧、大數據與雲端運算 (ABC: AI, Big Data, and Cloud Computing) [ppt] [pdf]
  4    2018/10/03    描述性分析I：數據的性質、統計模型與可視化 (Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization) [ppt] [pdf]
  5    2018/10/10    國慶紀念日 (放假一天) (National Day) (Day off)
  6    2018/10/17    描述性分析II：商業智慧與資料倉儲 (Descriptive Analytics II: Business Intelligence and Data Warehousing) [ppt] [pdf]
  7    2018/10/24    預測性分析I：資料探勘流程、方法與演算法 (Predictive Analytics I: Data Mining Process, Methods, and Algorithms) [ppt] [pdf]
  8    2018/10/31    預測性分析II：文本、網路與社群媒體分析 (Predictive Analytics II: Text, Web, and Social Media Analytics) [ppt] [pdf]
  9    2018/11/07    期中報告 (Midterm Project Report)
  10    2018/11/14    期中考試 (Midterm Exam)
  11    2018/11/21    處方性分析：最佳化與模擬 (Prescriptive Analytics: Optimization and Simulation) [ppt] [pdf]
  12    2018/11/28    社會網絡分析 (Social Network Analysis) [ppt] [pdf]
  13    2018/12/05    機器學習與深度學習 (Machine Learning and Deep Learning) [ppt] [pdf]
  14    2018/12/12    自然語言處理 (Natural Language Processing) [ppt] [pdf]
  15    2018/12/19    AI交談機器人與對話式商務 (AI Chatbots and Conversational Commerce) [ppt] [pdf]
  16    2018/12/26    商業分析的未來趨勢、隱私與管理考量 (Future Trends, Privacy and Managerial Considerations in Analytics) [ppt] [pdf]
  17    2019/01/02    期末報告 (Final Project Presentation)
  18    2019/01/09    期末考試 (Final Exam)
  
  
  
  
• References:
  1. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  2. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  

• 資訊數位服務 (Digital Information Services) (MI3) (Fall 2018)
  (MI3) (2 Credits, Elective)  (M1891) (2863)
  (1071) (資管三 MI3) (選修2學分) (2018.09-2019.01)
  (週六 Sat, 3, 4, 10:10-12:00)  (B502)
• 課程公告：2018/09/22 分組及確立服務工作推展細部計畫與工作分配
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2018/09/15    資訊數位服務課程介紹，講解課程大綱，專業理論講述。(準備階段) [ppt][pdf]
  2    2018/09/22    課程學習，校外服務(前置期) 分組及確立服務工作推展細部計畫與工作分配    (準備階段)
  3    2018/09/29    課程學習，校外服務(前置期) 建立淡江大學與服務對象間的聯絡管道，進行初步意願確認    (準備階段)
  4    2018/10/06    課程學習，校外服務(探索期) 訪談服務對象，了解其系統需求    (準備階段)
  5    2018/10/13    課程學習，校外服務(探索期) 訪談服務對象，了解其系統需求    (準備階段)
  6    2018/10/20    課程學習，討論與反思 檢討目前進度    (反思階段)
  7    2018/10/27    課程學習，校外服務(建置期) 開發及測試相關系統    (服務階段)
  8    2018/11/03    課程學習，校外服務(建置期) 開發及測試相關系統    (服務階段)
  9    2018/11/10    課程學習，校外服務(建置期) 開發及測試相關系統    (服務階段)
  10    2018/11/17    期中考試週   
  11    2018/11/24    課程學習，校外服務(建置期) 開發及測試相關系統    (服務階段)
  12    2018/12/01    課程學習，校外服務(建置期) 開發及測試相關系統    (服務階段)
  13    2018/12/08    課程學習，校外服務(教育訓練及維護期) 進行教育訓練及系統維護    (服務階段)
  14    2018/12/15    課程學習，校外服務(教育訓練及維護期) 進行教育訓練及系統維護    (服務階段)
  15    2018/12/22    課程學習，討論與反思    (反思階段)
  16    2018/12/29    課程學習，討論與反思    (反思階段)
  17    2019/01/05    課程學習，課程回顧，服務經驗交流與分享    (慶賀階段)
  18    2019/01/12    期末考試週 
  
  
  
  
• 參 考資料：
  (1) 2018 淡江大學資管系專業知能深化服務學習課程計畫書：資訊數位服務 [Secured PDF]
  (2) 2012 新北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [NTPC DV Magazine 2012]
  (3) 2011 新北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [pdf] [pdf] [NTPC DV Magazine 2011]
  (4) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫 [pdf]
  (5) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫結案報告 [pdf]
  (6) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫簡報  [pdf]
  
  

• 行銷管理 (Marketing Management) (MI3A) (Spring 2018)
  (MI3A) (3 Credits, Required) (M0142) (2965)
  (1062) (資管三A MI3A) (必修3學分) (2018.02-2018.06) 
  (週二 Tue, 2, 9:10-10:00) (B702), (週四 Thu, 7, 8, 14:10-16:00) (B608)
• 行銷管理 (Marketing Management) (MI3B) (Spring 2018)
  (MI3B) (3 Credits, Required) (M0142) (2966)
  (1062) (資管三A MI3B) (必修3學分) (2018.02-2018.06) 
  (週三 Wed, 8, 15:10-16:00) (B513), (週四 Thu, 9, 10, 16:10-18:00) (B608)
  
• 巨量資料探勘 (Big Data Mining) (MI4P) (Spring 2018)
  (MI4) (2 Credit, Elective) (M2244) (2995)
  (1062) (資管四 MI4) (選修2學分) (2018.02-2018.06)
  (週三 Wed, 9, 10, 16:10-18:00) (B206)

• 行 銷管理 (Marketing Management) (MI3A) (Spring 2018)
  (MI3A) (3 Credits, Required) (M0142) (2965)
  (1062) (資管三A MI3A) (必修3學分) (2018.02-2018.06) 
  (週二 Tue, 2, 9:10-10:00) (B702), (週四 Thu, 7, 8, 14:10-16:00) (B608)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2018/02/27, 03/01    Introduction to Marketing Management   [ppt][pdf]
  2    2018/03/06, 03/08    Defining Marketing for the New Realities, Developing Marketing Strategies and Plans (Nike)   [Secured PPT][Secured PDF]
  3    2018/03/13, 03/15    Collecting Information and Forecasting Demand, Conducting Marketing Research (Microsoft)   [Secured PPT][Secured PDF]
  4    2018/03/20, 03/22    Creating Long-term Loyalty Relationships, Analyzing Consumer Markets (Disney)   [Secured PPT][Secured PDF]
  5    2018/03/27, 03/29    Analyzing Business Markets, Tapping into Global Markets (Accenture)   [Secured PPT][Secured PDF]
  6    2018/04/03, 04/05    Off-campus study (教學行政觀摩日)
  7    2018/04/10, 04/12    Identifying Market Segments and Targets, Crafting the Brand Positioning (HSBC)   [Secured PPT][Secured PDF]
  8    2018/04/17, 04/19    Creating Brand Equity, Addressing Competition and Driving Growth (McDonald's)   [Secured PPT][Secured PDF]
  9    2018/04/24, 04/26    Midterm Report (期中報告)
  10    2018/05/01, 05/03    Midterm Exam Week (期中考試週)
  11    2018/05/08, 05/10    Setting Product Strategy, Designing and Managing Services (Toyota)   [Secured PPT][Secured PDF]
  12    2018/05/15, 05/17    Introducing New Market Offerings, Developing Pricing Strategies and Programs (Salesforce.com)   [Secured PPT][Secured PDF]
  13    2018/05/22, 05/24    Delivering Value: Designing and Managing Integrated Marketing Channels (Zara)   [Secured PPT][Secured PDF]
  14    2018/05/29, 05/31    Communicating Value: Designing and Managing Integrated Marketing Communications (Evian)   [Secured PPT][Secured PDF]
  15    2018/06/05, 06/07    Managing a Holistic Marketing Organization for the Long Run (Starbucks)   [Secured PPT][Secured PDF]
  16    2018/06/12, 06/14    Final Report I (期末報告 I)
  17    2018/06/19, 06/21    Final Report II (期末報告 II)
  18    2018/06/26, 06/28    Final Exam Week (期末考試週)
  
  
  
• Ref:  1062/Case/Case
• 行銷管理期末報告格式:  1062/Case/2018MMFinalReportFormat

• 行 銷管理 (Marketing Management) (MI3B) (Spring 2018)
  (MI3B) (3 Credits, Required) (M0142) (2966)
  (1062) (資管三A MI3B) (必修3學分) (2018.02-2018.06) 
  (週三 Wed, 8, 15:10-16:00) (B513), (週四 Thu, 9, 10, 16:10-18:00) (B608)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2018/03/01               Introduction to Marketing Management   [ppt][pdf]
  2    2018/03/07, 03/08    Defining Marketing for the New Realities, Developing Marketing Strategies and Plans (Nike)   [Secured PPT][Secured PDF]
  3    2018/03/14, 03/15    Collecting Information and Forecasting Demand, Conducting Marketing Research (Microsoft)   [Secured PPT][Secured PDF]
  4    2018/03/21, 03/22    Creating Long-term Loyalty Relationships, Analyzing Consumer Markets (Disney)   [Secured PPT][Secured PDF]
  5    2018/03/28, 03/29    Analyzing Business Markets, Tapping into Global Markets (Accenture)   [Secured PPT][Secured PDF]
  6    2018/04/04, 04/05    Off-campus study (教學行政觀摩日)
  7    2018/04/11, 04/12    Identifying Market Segments and Targets, Crafting the Brand Positioning (HSBC)   [Secured PPT][Secured PDF]
  8    2018/04/18, 04/19    Creating Brand Equity, Addressing Competition and Driving Growth (McDonald's)   [Secured PPT][Secured PDF]
  9    2018/04/25, 04/26    Midterm Report (期中報告)
  10    2018/05/02, 05/03    Midterm Exam Week (期中考試週)
  11    2018/05/09, 05/10    Setting Product Strategy, Designing and Managing Services (Toyota)   [Secured PPT][Secured PDF]
  12    2018/05/16, 05/17    Introducing New Market Offerings, Developing Pricing Strategies and Programs (Salesforce.com)   [Secured PPT][Secured PDF]
  13    2018/05/23, 05/24    Delivering Value: Designing and Managing Integrated Marketing Channels (Zara)   [Secured PPT][Secured PDF]
  14    2018/05/30, 05/31    Communicating Value: Designing and Managing Integrated Marketing Communications (Evian)   [Secured PPT][Secured PDF]
  15    2018/06/06, 06/07    Managing a Holistic Marketing Organization for the Long Run (Starbucks)   [Secured PPT][Secured PDF]
  16    2018/06/13, 06/14    Final Report I (期末報告 I)
  17    2018/06/20, 06/21    Final Report II (期末報告 II)
  18    2018/06/27, 06/28    Final Exam Week (期末考試週)

• 巨量資料探勘 (Big Data Mining) (MI4P) (Spring 2018)
  (MI4) (2 Credit, Elective) (M2244) (2995)
  (1062) (資管四 MI4) (選修2學分) (2018.02-2018.06)
  (週三 Wed, 9, 10, 16:10-18:00) (B206)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2018/02/28    和平紀念日(放假一天) (Peace Memorial Day) (Day off)
  2    2018/03/07    巨 量資料探勘課程介紹 (Course Orientation for Big Data Mining)   [ppt][pdf]
  3    2018/03/14    大 數據、AI人工智慧與深度學習 (Big Data, Artificial Intelligence and Deep Learning)   [ppt][pdf]
  4    2018/03/21    關 連分析 (Association Analysis)   [ppt][pdf]
  5    2018/03/28    分 類與預測 (Classification and Prediction)   [ppt][pdf]
  6    2018/04/04    兒童節(放假一天)(Children's Day) (Day off)
  7    2018/04/11    分 群分析 (Cluster Analysis)   [ppt][pdf]
  8    2018/04/18    個 案分析與實作一 (SAS EM 分群分析)： Case Study 1 (Cluster Analysis - K-Means using SAS EM)   [ppt][pdf] [EM_Data]
  9    2018/04/25    期中報告 (Midterm Project Presentation)
  10    2018/05/02    期中考試週
  11    2018/05/09    個 案分析與實作二 (SAS EM 關連分析)： Case Study 2 (Association Analysis using SAS EM)   [ppt][pdf] [EM_Data]
  12    2018/05/16    個 案分析與實作三 (SAS EM 決策樹、模型評估)： Case Study 3 (Decision Tree, Model Evaluation using SAS EM)   [ppt][pdf] [EM_Data]
  13    2018/05/23    個 案分析與實作四 (SAS EM 迴歸分析、類神經網路)：Case Study 4 (Regression Analysis, Artificial Neural Network using SAS EM)   [ppt][pdf] [EM_Data]
  14    2018/05/30    期末報告 (Final Project Presentation))
  15    2018/06/06    畢業考試週
  
  
  
  
• References:  
  1. SAS Big Data Champion 2018
  2. SAS Resource  
  3. SAS Enterprise Guide (SAS EG)  [Secured Data]
  4. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  5. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  6. SASMining2012 Final List [pdf]

• 財務金融大數據分析 (Big Data Analytics in Finance) (EMBA, IMTKU)  (Fall 2017)
  (MIS EMBA) (3 Credits, Elective)
  (1061) (淡江大學資管所碩士在職專班) (選修3學分) (2017.09-2018.01)
  (週四 Thu, 12,13,14, 19:20-22:10) (D503)
  
• 社群網路應用程式設計 (Social Media Apps Programming) (MBA, IMTKU) (Fall 2017)
  (MIS MBA) (2 Credits, Elective) [Full English Course]
  (1061) (淡江大學資管所碩士班) (選修2學分) [全英語授課] (2017.09-2018.01)
  (週五 Fri, 8,9, 15:10-17:00) (B206)
  
• 資訊管理專題 (Topics in Information Management) (MI4B) (Fall 2017)
  (MI4B) (2 Credits, Required)
  (1061) (資管四B MI4B) (必修2學分) (2017.09-2018.01)  
  (週三 Wed, 8,9, 15:10-17:00) (B702)
  
• 資訊管理專題 (Topics in Information Management) (MI4C) (Fall 2017)
  (MI4C) (2 Credits, Required)
  (1061) (資管四C MI4C) (必修2學分) (2017.09-2018.01)  
  (週四 Thu, 7,8, 14:10-16:00) (B702)
  
• 資訊數位服務 (Digital Information Services) (MI3) (Fall 2017)
  (MI3) (2 Credits, Elective)
  (1061) (資管三 MI3) (選修2學分) (2017.09-2018.01)
  (週六 Sat, 3, 4, 10:10-12:00) (B425)

• 財 務金融大數據分析 (Big Data Analytics in Finance) (EMBA, IMTKU)  (Fall 2017)
  (MIS EMBA) (3 Credits, Elective)
  (1061) (淡江大學資管所碩士在職專班) (選修3學分) (2017.09-2018.01)
  (週四 Thu, 12,13,14, 19:20-22:10) (D503)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2017/09/21    財 務金融大數據分析課程介紹 (Course Orientation for Big Data Analytics in Finance)   [ppt] [pdf]
  2    2017/09/28    金 融科技商業模式 (Business Models of Fintech)   [ppt] [pdf]
  3    2017/10/05    人 工智慧投資分析與機器人理財顧問 (Artificial Intelligence for Investment Analysis and Robo-Advisors)   [ppt] [pdf]
  4    2017/10/12    金 融科技對話式商務與智慧型交談機器人 (Conversational Commerce and Intelligent Chatbots for Fintech)   [ppt] [pdf]
  5    2017/10/19    事 件研究法 (Event Study)   [ppt] [pdf]
  6    2017/10/26    財務金融大數據分析個案研究 I (Case Study on Big Data Analytics in Finance I)
  7    2017/11/02    Python 財務大數據分析基礎 (Foundations of Finance Big Data Analytics in Python)   [ppt] [pdf]
  8    2017/11/09    Python Numpy大數據分析 (Big Data Analytics with Numpy in Python)   [ppt] [pdf]
  9    2017/11/16    Python Pandas 財務大數據分析 (Finance Big Data Analytics with Pandas in Python)   [ppt] [pdf]
  10    2017/11/23    期中報告 (Midterm Project Report)
  11    2017/11/30    Python Keras深度學習 (Deep Learning with Keras in Python)   [ppt] [pdf]
  12    2017/12/07    文字探勘分析技術與自然語言處理 (Text Mining Techniques and Natural Language Processing)   [Invited Speaker: Irene Chen, Consultant, Teradata]
  13    2017/12/14    財務金融大數據分析個案研究 II (Case Study on Big Data Analytics in Finance II)
  14    2017/12/21    TensorFlow 深度學習 (Deep Learning with TensorFlow)   [ppt] [pdf]
  15    2017/12/28    財 務金融大數據深度學習 (Deep Learning for Finance Big Data)   [ppt] [pdf]
  16    2018/01/04    社 會網絡分析 (Social Network Analysis)   [ppt] [pdf]
  17    2018/01/11    期末報告 I (Final Project Presentation I)
  18    2018/01/18    期末報告 II (Final Project Presentation II)
  

• Social Media Apps Programming (MBA, IMTKU) (Fall 2017) (2017.09-2018.01)
  (MIS MBA) (2 Credits, Elective) [Full English Course]
  (Fri, 8,9, 15:10-17:00) (B206)
• Week   Date       Subject/Topics
  1    2017/09/22    Course Orientation and Introduction to Social Media and Mobile Apps Programming   [ppt] [pdf]
  2    2017/09/29    Introduction to Android / iOS Apps Programming   [ppt] [pdf]
  3    2017/10/06    Developing Android Native Apps with Java (Android Studio)   [ppt] [pdf]
  4    2017/10/13    Developing iPhone / iPad Native Apps with Swift (XCode)   [ppt] [pdf]
  5    2017/10/20    Mobile Apps using HTML5/CSS3/JavaScript   [ppt] [pdf]
  6    2017/10/27    jQuery Mobile   [ppt] [pdf]
  7    2017/11/03    Create Hybrid Apps with Phonegap   [ppt] [pdf]
  8    2017/11/10    jQuery Mobile/Phonegap   [ppt] [pdf]
  9    2017/11/17    jQuery Mobile/Phonegap   [ppt] [pdf]
  10    2017/11/24    Midterm Project Report
  11    2017/12/01    Case Study on Social Media Apps Programming and Marketing in Google Play and App Store   [ppt] [pdf]
  12    2017/12/08    Google Cloud Platform   [ppt] [pdf]
  13    2017/12/15    Google App Engine  [ppt] [pdf]
  14    2017/12/22    Google Map API   [ppt] [pdf]
  15    2017/12/29    Facebook API (Facebook JavaScript SDK)(Integrate Facebook with iOS/Android Apps)   [ppt] [pdf]
  16    2018/01/05    Twitter API   [ppt] [pdf]
  17    2018/01/12    Final Project Presentation
  18    2018/01/19    Final Project Presentation
  
  
  

• 資 訊管理專題 (Hot Issues of Information Management) (MI4B) (Fall 2017)
  (MI4B) (2 Credits, Required)
  (1061) (資管四B MI4B) (必修2學分) (2017.09-2018.01)  
  (週三 Wed, 8,9, 15:10-17:00) (B702)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2017/09/20    Introduction to Case Study for Hot Issues of Information Management   [ppt] [pdf]
  2    2017/09/27    Information Systems in Global Business: UPS   [ppt] [pdf]
  3    2017/10/04    Mid-Autumn Festival (Day off) (中秋節) (放假一天)
  4    2017/10/11    Global E-Business and Collaboration: P&G   [ppt] [pdf]
  5    2017/10/18    Information Systems, Organization, and Strategy: Starbucks   [ppt] [pdf]
  6    2017/10/25    Ethical and Social Issues in Information Systems: Facebook   [ppt] [pdf]
  7    2017/11/01    IT Infrastructure and Emerging Technologies: Amazon and Cloud Computing   [ppt] [pdf]
  8    2017/11/08    IT Infrastructure and Emerging Technologies: Amazon and Cloud Computing   [ppt] [pdf]
  9    2017/11/15    Midterm Report (期中報告)
  10    2017/11/22    Midterm Exam Week (期中考試週)
  11    2017/11/29    Foundations of Business Intelligence: IBM and Big Data   [ppt] [pdf] 
  12    2017/12/06    Foundations of Business Intelligence: IBM and Big Data   [ppt] [pdf]
  13    2017/12/13    Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft   [ppt] [pdf]
  14    2017/12/20    Enterprise Applications: Summit and SAP   [ppt] [pdf]
  15    2017/12/27    E-commerce: Zagat   [ppt] [pdf]
  16    2018/01/03    Final Report I (期末報告 I)
  17    2018/01/10    Final Report II (期末報告 II)
  18    2018/01/17    Final Exam Week (期末考試週)
  
  
  
  
• Ref:  1061/Case/Case_Study_IM_C
  

• 資 訊管理專題 (Hot Issues of Information Management) (MI4C) (Fall 2017)
  (MI4C) (2 Credits, Required)
  (1061) (資管四C MI4C) (必修2學分) (2017.09-2018.01)  
  (週四 Thu, 7,8, 14:10-16:00) (B702)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2017/09/21    Introduction to Case Study for Hot Issues of Information Management   [ppt] [pdf]
  2    2017/09/28    Information Systems in Global Business: UPS   [ppt] [pdf]
  3    2017/10/05    Global E-Business and Collaboration: P&G   [ppt] [pdf]
  4    2017/10/12    Information Systems, Organization, and Strategy: Starbucks   [ppt] [pdf]
  5    2017/10/19    Ethical and Social Issues in Information Systems: Facebook   [ppt] [pdf]
  6    2017/10/26    IT Infrastructure and Emerging Technologies: Amazon and Cloud Computing   [ppt] [pdf]
  7    2017/11/02    IT Infrastructure and Emerging Technologies: Amazon and Cloud Computing   [ppt] [pdf]
  8    2017/11/09    Foundations of Business Intelligence: IBM and Big Data   [ppt] [pdf]
  9    2017/11/16    Midterm Report (期中報告)
  10    2017/11/23    期中考試週
  11    2017/11/30    Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft   [ppt] [pdf]
  12    2017/12/07    Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft   [ppt] [pdf]
  13    2017/12/14    Enterprise Applications: Summit and SAP    [ppt] [pdf]
  14    2017/12/21    Enterprise Applications: Summit and SAP    [ppt] [pdf]   
  15    2017/12/28    E-commerce: Zagat    [ppt] [pdf]
  16    2018/01/04    Final Report I (期末報告 I)
  17    2018/01/11    Final Report II (期末報告 II)
  18    2018/01/18    期末考試週
  

• 資 訊數位服務 (Digital Information Services) (MI3) (Fall 2017)
  (MI3) (2 Credits, Elective)
  (1061) (資管三 MI3) (選修2學分) (2017.09-2018.01)
  (週六 Sat, 3, 4, 10:10-12:00) (B425)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2017/09/23    資 訊數位服務課程介紹，講解課程大綱，專業理論講述。(準備階段)   [ppt] [pdf]
  2    2017/09/30    課程學習，校外服務(前置期) 分組及確立服務工作推展細部計畫與工作分配    (準備階段)
  3    2017/10/07    課程學習，校外服務(前置期) 建立淡江大學與服務對象間的聯絡管道，進行初步意願確認    (準備階段)
  4    2017/10/14    課程學習，校外服務(探索期) 訪談服務對象，了解其系統需求    (準備階段)
  5    2017/10/21    課程學習，校外服務(探索期) 訪談服務對象，了解其系統需求    (準備階段)
  6    2017/10/28    課程學習，討論與反思 檢討目前進度    (反思階段)
  7    2017/11/04    課程學習，校外服務(建置期) 開發及測試相關系統    (服務階段)
  8    2017/11/11    課程學習，校外服務(建置期) 開發及測試相關系統    (服務階段)
  9    2017/11/18    期中評量（繳交報告）    (服務階段)
  10    2017/11/25    期中考試週   
  11    2017/12/02    課程學習，校外服務(建置期) 開發及測試相關系統    (服務階段)
  12    2017/12/09    課程學習，校外服務(建置期) 開發及測試相關系統    (服務階段)
  13    2017/12/16    課程學習，校外服務(教育訓練及維護期) 進行教育訓練及系統維護    (服務階段)
  14    2017/12/23    課程學習，校外服務(教育訓練及維護期) 進行教育訓練及系統維護    (服務階段)
  15    2017/12/30    課程學習，討論與反思    (反思階段)
  16    2018/01/06    課程學習，討論與反思    (反思階段)
  17    2018/01/13    課程學習，課程回顧，服務經驗交流與分享    (慶賀階段)
  18    2018/01/20    期末考試週   
  
  
  
  
• 參 考資料：
  (1) 2012 新 北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [NTPC DV Magazine 2012]
  (2) 2011 新北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [pdf] [pdf] [NTPC DV Magazine 2011]
  (3) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫 [pdf]
  (4) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫結案報告 [pdf]
  (5) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫簡報  [pdf]
  
  

• 社群運算與大數據分析 (Social Computing and Big Data Analytics) (MBA, IMTKU) (Spring 2017)
  (MIS MBA) (2 Credits, Elective) (M2226) (8606)
  (1052) (資管所碩士班) (選修2學分) (2017.02-2017.06)
  (週三 Wed, 8,9, 15:10-17:00) (L206)
• 金融科技 (Financial Technology, FinTech) (EMBA, IMTKU)  (Spring 2017)
  (MIS EMBA) (3 Credits, Elective) (M2263) (8595)
  (1052) (資管所碩士在職專班) (選修3學分) (2017.02-2017.06)
  (週五 Fri, 12,13,14, 19:20-22:10) (D409)
• 巨量資料探勘 (Big Data Mining) (MI4P) (Spring 2017)
  (MI4) (2 Credit, Elective) (M2244) (3069)
  (1052) (資管四 MI4) (選修2學分) (2017.02-2017.06)
  (週四 Thu, 8, 9, 15:10-17:00) (B130)
  
• 資訊安全概論 (Introduction to Information Security) (MI3B) (Spring 2017)
  (MI3B) (2 Credit, Required)  (M1058)
  (1052) (資管三B MI3B) (必修2學分) (2017.02-2017.06)
  (週三 Wed, 6, 7, 13:10-15:00) (B116)
  

• 社 群運算與大數據分析 (Social Computing and Big Data Analytics) (MBA, IMTKU) (Spring 2017)
  (MIS MBA) (2 Credits, Elective) (M2226) (8606)
  (1052) (資管所碩士班) (選修2學分) (2017.02-2017.06)
  (週三 Wed, 8,9, 15:10-17:00) (L206)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2017/02/15    Course Orientation for Social Computing and Big Data Analytics (社群運算與大數據分析課程介紹)   [ppt][pdf]
  2    2017/02/22    Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data (資料科學與大數據分析：探索、分析、視覺化與呈現資料)   [ppt][pdf]
  3    2017/03/01    Fundamental Big Data: MapReduce Paradigm, Hadoop and Spark Ecosystem (大數據基礎：MapReduce典範、Hadoop與Spark生態系統)   [ppt][pdf]
  4    2017/03/08    Big Data Processing Platforms with SMACK: Spark, Mesos, Akka, Cassandra and Kafka (大數據處理平台SMACK：Spark, Mesos, Akka, Cassandra, Kafka)   [ppt][pdf]
  5    2017/03/15    Big Data Analytics with Numpy in Python (Python Numpy大數據分析)   [ppt][pdf]
  6    2017/03/22    Finance Big Data Analytics with Pandas in Python(Python Pandas財務大數據分析)   [ppt][pdf]
  7    2017/03/29    Text Mining Techniques and Natural Language Processing (文字探勘分析技術與自然語言處理)   [ppt][pdf]
  8    2017/04/05    Off-campus study (教學行政觀摩日)
  9    2017/04/12    Social Media Marketing Analytics (社群媒體行銷分析)   [ppt][pdf]
  10    2017/04/19    Midterm Project Report (期中報告)
  11    2017/04/26    Deep Learning with Theano and Keras in Python (Python Theano 和 Keras深度學習)   [ppt][pdf]
  12    2017/05/03    Deep Learning with Google TensorFlow (Google TensorFlow深度學習)   [ppt][pdf]
  13    2017/05/10    Sentiment Analysis on Social Media with Deep Learning (深度學習社群媒體情感分析)   [ppt][pdf]
  14    2017/05/17    Social Network Analysis (社會網絡分析)   [ppt][pdf]
  15    2017/05/24    Measurements and Tools of Social Network Analysis (社會網絡分析量測與工具)   [ppt][pdf]
  16    2017/05/31    Invited Talk: From Blog to Job Bank (社群平台分析) [Invited Speaker: Dr. Rick Cheng-Yu Lu, CDO, 104]
  17    2017/06/07    Final Project Presentation I (期末報告 I)
  18    2017/06/14    Final Project Presentation II (期末報告 II)
  

• 金 融科技 (Financial Technology, FinTech) (EMBA, IMTKU)  (Spring 2017)
  (MIS EMBA) (3 Credits, Elective) (M2263) (8595)
  (1052) (資管所碩士在職專班) (選修3學分) (2017.02-2017.06)
  (週五 Fri, 12,13,14, 19:20-22:10) (D409)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2017/02/17    Fintech 金融科技課程介紹 (Course Orientation for Fintech: Financial Technology)   [ppt] [pdf]
  2    2017/02/24    Fintech 金融科技的演進：貨幣與金融服務 (Evolution of Fintech: Money and Financial Services)   [ppt] [pdf]
  3    2017/03/03    Fintech 金融科技：金融服務科技創新 (Fintech: Technology Innovation in Financial Services)   [ppt] [pdf]
  4    2017/03/10    Fintech 金融科技與金融服務價值鏈 (Fintech and Financial Services Value Chain)   [ppt] [pdf]
  5    2017/03/17    Fintech 金融科技商業模式創新 (Fintech Business Models Innovation)   [ppt] [pdf]
  6    2017/03/24    Fintech 金融科技個案研究 I (Case Study on Fintech I)
  7    2017/03/31    金 融服務消費者心理與行為 (Consumer Psychology and Behavior on Financial Services)   [ppt] [pdf]
  8    2017/04/07    教學行政觀摩日 (Off-campus study)
  9    2017/04/14    區塊鏈技術 (Blockchain Technology)  [Invited Speaker: Dr. Raymund Lin, IBM (林俊叡 博士，IBM)]
  10    2017/04/21    期中報告 (Midterm Project Report)
  11    2017/04/28    Python Pandas財務大數據分析 (Finance Big Data Analytics with Pandas in Python)   [ppt] [pdf]
  12    2017/05/05    人 工智慧與深度學習金融科技 (Artificial Intelligence and Deep Learning for Fintech)   [ppt] [pdf]
  13    2017/05/12    Fintech 金融科技個案研究 II (Case Study on Fintech II)
  14    2017/05/19    金 融科技財富管理：機器人理財顧問 (Robo-Advisors for Wealth Management in Fintech)   [ppt] [pdf]
  15    2017/05/26    投 資組合最佳化與程式交易 (Portfolio Optimization and Algorithmic Trading)   [ppt] [pdf]
  16    2017/06/02    金 融科技智慧問答系統 (Intelligent Question Answering System for Fintech)   [ppt] [pdf]
  17    2017/06/09    期末報告 I (Final Project Presentation I)
  18    2017/06/16    期末報告 II (Final Project Presentation II)
  

• 巨 量資料探勘 (Big Data Mining) (MI4P) (Spring 2017)
  (MI4) (2 Credit, Elective) (M2244) (3069)
  (1052) (資管四 MI4) (選修2學分) (2017.02-2017.06)
  (週四 Thu, 8, 9, 15:10-17:00) (B130)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2017/02/16    巨 量資料探勘課程介紹 (Course Orientation for Big Data Mining)   [ppt] [pdf]
  2    2017/02/23    巨 量資料基礎：MapReduce典範、Hadoop與Spark生態系統 (Fundamental Big Data: MapReduce Paradigm, Hadoop and Spark Ecosystem)   [ppt] [pdf]
  3    2017/03/02    關 連分析 (Association Analysis)   [ppt] [pdf]
  4    2017/03/09    分 類與預測 (Classification and Prediction)   [ppt] [pdf]
  5    2017/03/16    分 群分析 (Cluster Analysis)   [ppt] [pdf]
  6    2017/03/23    個 案分析與實作一 (SAS EM 分群分析)： Case Study1 (Cluster Analysis – K-Means using SAS EM)   [ppt] [pdf] [EM_Data]
  7    2017/03/30    個 案分析與實作二 (SAS EM 關連分析)： Case Study2 (Association Analysis using SAS EM)   [ppt] [pdf] [EM_Data]
  8    2017/04/06    教學行政觀摩日 (Off-campus study)
  9    2017/04/13    期中報告 (Midterm Project Presentation)
  10    2017/04/20    期中考試週
  11    2017/04/27    個 案分析與實作三 (SAS EM 決策樹、模型評估)：Case Study 3 (Decision Tree, Model Evaluation using SAS EM)   [ppt] [pdf] [EM_Data]
  12    2017/05/04    個 案分析與實作四 (SAS EM 迴歸分析、類神經網路)：Case Study 4 (Regression Analysis, Artificial Neural Network using SAS EM)   [ppt] [pdf] [EM_Data]
  13    2017/05/11    Google TensorFlow深度學習 (Deep Learning with Google TensorFlow)   [ppt] [pdf]
  14    2017/05/18    期末報告 (Final Project Presentation)
  15    2017/05/25    畢業考試週
  
  
  
  
• References:  
  1. SAS Big Data Champion 2017
  2. SAS Resource  
  3. SAS Enterprise Guide (SAS EG)  [Secured Data]
  4. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  5. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  6. SASMining2012 Final List [pdf]

• 資 訊安全概論 (Introduction to Information Security) (MI3B) (Spring 2017)
  (MI3B) (2 Credit, Required) (M1058)
  (1052) (資管三B MI3B) (必修2學分) (2017.02-2017.06)
  (週三 Wed, 6, 7, 13:10-15:00) (B116)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1    2017/02/15    資 訊安全概論課程介紹   [ppt] [pdf]
  2    2017/02/22    資訊安全概論   [Secured PPT] [Secured PDF]
  3    2017/03/01    資訊法律與事件處理   [Secured PPT] [Secured PDF]
  4    2017/03/08    資訊安全威脅   [Secured PPT] [Secured PDF]
  5    2017/03/15    駭客手法研究   [Secured PPT] [Secured PDF]
  6    2017/03/22    認證、授權與存取控制   [Secured PPT] [Secured PDF]
  7    2017/03/29    資訊安全架構與設計   [Secured PPT] [Secured PDF]
  8    2017/04/05    教學行政觀摩日
  9    2017/04/12    期中報告
  10    2017/04/19    期中考試週   [Download Midterm Review Secured PPT]  [Download Midterm Review Secured PDF]
  11    2017/04/26    基礎密碼學   [Secured PPT] [Secured PDF]
  12    2017/05/03    資訊系統與網路模型   [Secured PPT] [Secured PDF]
  13    2017/05/10    防火牆與使用政策   [Secured PPT] [Secured PDF]
  14    2017/05/17    入侵偵測與多層次防禦   [Secured PPT] [Secured PDF]
  15    2017/05/24    資訊安全管理系統   [Secured PPT] [Secured PDF]
  16    2017/05/31    資訊技術服務管理   [Secured PPT] [Secured PDF]
  17    2017/06/07    期末報告
  18    2017/06/14    期末考試週
  

• 社群網路應用程式設計 (Social Media Apps Programming) (MIS MBA) (Fall 2016)
  (MIS MBA) (2 Credits, Elective) [Full English Course]
  (1051) (資管所碩士班) (選修2學分) [全英語授課] (2016.09-2017.01)
  (週三 Wed, 8, 9, 15:10-17:00) (B310)
  
• 大數據行銷研究 (Big Data Marketing Research) (MIS EMBA) (Fall 2016)
  (MIS EMBA) (3 Credits, Elective)
  (1051) (資管所碩士在職專班) (選修3學分) (2016.09-2017.01)
  (週五 Fri, 12,13,14, 19:20-22:10) (D409)
  
• 資訊管理專題 (Topics in Information Management) (MI4B) (Fall 2016)
  (MI4B) (2 Credits, Required)
  (1051) (資管四B MI4B) (必修2學分) (2016.09-2017.01)  
  (週二 Tue, 3,4, 10:10-12:00) (B507)
  
• 資訊管理專題 (Topics in Information Management) (MI4C) (Fall 2016)
  (MI4C) (2 Credits, Required)
  (1051) (資管四C MI4C) (必修2學分) (2016.09-2017.01)  
  (週四 Thu, 7,8, 14:10-16:00) (B709)
  
• 資訊數位服務 (Digital Information Services) (MI3) (Fall 2016)
  (MI3) (2 Credits, Elective)
  (1051) (資管三 MI3) (選修2學分) (2016.09-2017.01)
  (週六 Sat, 6, 7, 13:10-15:00) (B425)

• Social Media Apps Programming (MIS MBA) (Fall 2016) (2016.09-2017.01)
  (MIS MBA) (2 Credits, Elective) [Full English Course]
  (Wed, 8, 9, 15:10-17:00) (B310)
• Week   Date       Subject/Topics
  1   2016/09/14   Course Orientation and Introduction to Social Media and Mobile Apps Programming   [ppt][pdf]
  2   2016/09/21   Introduction to Android / iOS Apps Programming   [ppt][pdf]
  3   2016/09/28   Developing Android Native Apps with Java (Eclipse) (MIT App Inventor)   [ppt][pdf]
  4   2016/10/05   Developing iPhone / iPad Native Apps with Swift (XCode)   [ppt][pdf]
  5   2016/10/12   Mobile Apps using HTML5/CSS3/JavaScript   [ppt][pdf]
  6   2016/10/19   jQuery Mobile   [ppt][pdf]
  7   2016/10/26   Create Hybrid Apps with PhoneGap   [ppt][pdf]
  8   2016/11/02   jQuery Mobile/PhoneGap   [ppt][pdf]
  9   2016/11/09   jQuery Mobile/PhoneGap   [ppt][pdf]
  10   2016/11/16   Midterm Exam Week (Midterm Project Report)
  11   2016/11/23   Case Study on Social Media Apps Programming and Marketing in Google Play and App Store   [ppt][pdf]
  12   2016/11/30   Invited Talk: Challenges in Natural Language Processing: Question Answering and Dialog System [B302b] [ppt][pdf]
                              [Invited Speaker: Prof. Yoshinobu Kano, Associate Professor, Faculty of Informatics, Shizuoka University, Japan]
  13   2016/12/07   Google Cloud Platform   [ppt][pdf]
  14   2016/12/14   Google App Engine and Google Map API   [ppt][pdf]
  15   2016/12/21   Facebook API (Facebook JavaScript SDK)(Integrate Facebook with iOS/Android Apps)   [ppt][pdf]
  16   2016/12/28   Twitter API   [ppt][pdf]
  17   2017/01/04   Final Project Presentation
  18   2017/01/11   Final Exam Week (Final Project Presentation)

• 大 數據行銷研究 (Big Data Marketing Research) (MIS EMBA) (Fall 2016)
  (MIS EMBA) (3 Credits, Elective)
  (1051) (資管所碩士在職專班) (選修3學分) (2016.09-2017.01)
  (週五 Fri, 12,13,14, 19:20-22:10) (D409)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2016/09/16   中秋節 (調整放假一天) (Mid-Autumn Festival Holiday)(Day off)
  2   2016/09/23   大 數據行銷研究課程介紹 (Course Orientation for Big Data Marketing Research)   [ppt] [pdf]
  3   2016/09/30   資 料科學與大數據行銷 (Data Science and Big Data Marketing)   [ppt] [pdf]
  4   2016/10/07   大 數據行銷分析與研究(Big Data Marketing Analytics and Research)   [ppt] [pdf]
  5   2016/10/14   測 量構念 (Measuring the Construct)   [ppt] [pdf]
  6   2016/10/21   測 量與量表 (Measurement and Scaling)   [ppt] [pdf]
  7   2016/10/28   大數據行銷個案分析 I (Case Study on Big Data Marketing I)
  8   2016/11/04   探 索性因素分析 (Exploratory Factor Analysis)   [ppt] [pdf]
  9   2016/11/11   確 認性因素分析 (Confirmatory Factor Analysis)   [ppt] [pdf]
  10   2016/11/18   期中報告 (Midterm Presentation)
  11   2016/11/25   社 群運算與大數據分析 (Social Computing and Big Data Analytics)   [ppt] [pdf]
  12   2016/12/02   社 會網路分析 (Social Network Analysis)   [ppt] [pdf]
  13   2016/12/09   大數據行銷個案分析 II (Case Study on Big Data Marketing II)
  14   2016/12/16   社 會網絡分析量測與實務 (Measurements and Practices of Social Network Analysis)   [ppt] [pdf]
  15   2016/12/23   大 數據情感分析 (Big Data Sentiment Analysis)   [ppt] [pdf]
  16   2016/12/30   金 融科技行銷研究 (FinTech Marketing Research)   [ppt] [pdf]
  17   2017/01/06   期末報告 I (Term Project Presentation I)
  18   2017/01/13   期末報告 II (Term Project Presentation II)

• 資 訊管理專題 (Topics in Information Management) (MI4B) (Fall 2016)
  (MI4B) (2 Credits, Required)
  (1051) (資管四B MI4B) (必修2學分) (2016.09-2017.01)  
  (週二 Tue, 3,4, 10:10-12:00) (B507)
• 週次 (Week)    日期 (Date)    內容(Subject/Topics)
  1   2016/09/13   Introduction to Case Study for Information Management   [ppt] [pdf]
  2   2016/09/20   Information Systems in Global Business: UPS   [ppt] [pdf]
  3   2016/09/27   Global E-Business and Collaboration: P&G   [ppt] [pdf]
  4   2016/10/04   Global E-Business and Collaboration: P&G   [ppt] [pdf]
  5   2016/10/11   Information Systems, Organization, and Strategy: Starbucks   [ppt] [pdf]
  6   2016/10/18   Ethical and Social Issues in Information Systems: Facebook   [ppt] [pdf]
  7   2016/10/25   IT Infrastructure and Emerging Technologies: Amazon and Cloud Computing   [ppt] [pdf]
  8   2016/11/01   IT Infrastructure and Emerging Technologies: Amazon and Cloud Computing   [ppt] [pdf]
  9   2016/11/08   Foundations of Business Intelligence: IBM and Big Data   [ppt] [pdf]
  10   2016/11/15   期中考試週
  11   2016/11/22   Midterm Report (期中報告)
  12   2016/11/29   Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft   [ppt] [pdf]
  13   2016/12/06   Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft   [ppt] [pdf]  
  14   2016/12/13   Enterprise Applications: Summit and SAP   [ppt] [pdf]
  15   2016/12/20   E-commerce: Zagat   [ppt] [pdf]  
  16   2016/12/27   Final Report I (期末報告 I)
  17   2017/01/03   Final Report II (期末報告 II)
  18   2017/01/10   期末考試週
• Ref:  1051/Case/Case_Study_IM_C

• 資 訊管理專題 (Topics in Information Management) (MI4C) (Fall 2016)
  (MI4C) (2 Credits, Required)
  (1051) (資管四C MI4C) (必修2學分) (2016.09-2017.01)  
  (週四 Thu, 7,8, 14:10-16:00) (B709)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2016/09/15   中秋節 (放假一天) (Mid-Autumn Festival)(Day off)
  2   2016/09/22   Introduction to Case Study for Information Management   [ppt] [pdf]
  3   2016/09/29   Information Systems in Global Business: UPS   [ppt] [pdf]
  4   2016/10/06   Information Systems in Global Business: UPS   [ppt] [pdf]
  5   2016/10/13   Global E-Business and Collaboration: P&G   [ppt] [pdf]
  6   2016/10/20   Information Systems, Organization, and Strategy: Starbucks   [ppt] [pdf]
  7   2016/10/27   Ethical and Social Issues in Information Systems: Facebook   [ppt] [pdf]
  8   2016/11/03   IT Infrastructure and Emerging Technologies: Amazon and Cloud Computing   [ppt] [pdf]
  9   2016/11/10   Foundations of Business Intelligence: IBM and Big Data   [ppt] [pdf]
  10   2016/11/17   期中考試週
  11   2016/11/24   Midterm Report (期中報告)
  12   2016/12/01   Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft   [ppt] [pdf]
  13   2016/12/08   Enterprise Applications: Summit and SAP   [ppt] [pdf]
  14   2016/12/15   E-commerce: Zagat   [ppt] [pdf]
  15   2016/12/22   Enhancing Decision Making: Zynga   [ppt] [pdf]
  16   2016/12/29   Final Report I (期末報告 I)
  17   2017/01/05   Final Report II (期末報告 II)
  18   2017/01/12   期末考試週

• 資 訊數位服務 (Digital Information Services) (MI3) (Fall 2016)
  (MI3) (2 Credits, Elective)
  (1051) (資管三 MI3) (選修2學分) (2016.09-2017.01)
  (週六 Sat, 6, 7, 13:10-15:00) (B425)
• 週次 (Week)   日期 (Date)   內容(Subject/Topics)
  1   2016/09/17   資 訊數位服務課程介紹，講解課程大綱，專業理論講述。(準備階段)   [ppt] [pdf]
  2   2016/09/24   課程學習，校外服務(前置期)：分組及確立服務工作推展細部計畫與工作分配。服務方案資料蒐整。(準備階段)
  3   2016/10/01   課程學習，校外服務(前置期)：建立淡江大學與服務對象間的聯絡管道，進行初步意願確認。服務方案資料蒐整。(準備階段)
  4   2016/10/08   課程學習，校外服務(探索期)：訪談服務對象，了解其系統需求。服務方案資料蒐整，服務方案設計。(準備階段)
  5   2016/10/15   課程學習，校外服務(探索期)：訪談服務對象，了解其系統需求。服務方案資料蒐整，服務方案設計。(準備階段)
  6   2016/10/22   課程學習，討論與反思：檢討目前進度。(反思階段)
  7   2016/10/29   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)
  8   2016/11/05   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)
  9   2016/11/12   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。期中評量（繳交報告） (服務階段)
  10   2016/11/19   期中考試週
  11   2016/11/26   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)
  12   2016/12/03   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)
  13   2016/12/10   課程學習，校外服務(教育訓練及維護期)：進行教育訓練及系統維護。服務方案執行與討論。(服務階段)
  14   2016/12/17   課程學習，校外服務(教育訓練及維護期)：進行教育訓練及系統維護。服務方案執行與討論。(服務階段)
  15   2016/12/24   課程學習，服務方案評估，服務歷程反思。(反思階段)
  16   2016/12/31   課程學習，服務方案評估，服務歷程反思。(反思階段)
  17   2017/01/07   課程學習，課程回顧，服務經驗交流與分享。期末評量（繳交報告）(慶賀階段)
  18   2017/01/14   期末考試週
• 參 考資料：
  (1) 2012 新 北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [NTPC DV Magazine 2012]
  (2) 2011 新北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [pdf] [pdf] [NTPC DV Magazine 2011]
  (3) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫 [pdf]
  (4) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫結案報告 [pdf]
  (5) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫簡報  [pdf]
  
• Reference:
  * SIC 2016 第三屆社會情報競賽 (Social Intelligence Cup 2016)   [ppt] [YouTube]
  * 選舉開放 資料創新應用構想競賽 (Idea for Election Open Data Application)
  

• 社群運算與大數據分析 (Social Computing and Big Data Analytics) (MIS MBA) (Spring 2016)
  (MIS MBA) (2 Credits, Elective) (M2226) (8628)
  (1042) (資管所碩士班) (選修2學分) (2016.02-2016.06)
  (週三 Wed, 8,9, 15:10-17:00) (B309)
• 社群網路行銷管理 (Social Media Marketing Management) (MIS EMBA) (Spring 2016)
  (MIS EMBA) (3 Credits, Elective) (M2200) (8615)
  (1042) (資管所碩士在職專班) (選修3學分) (2016.02-2016.06)
  (週四 Thu, 12,13,14, 19:20-22:10) (D309)
• 巨量資料探勘 (Big Data Mining) (MI4P) (Spring 2016)
  (MI4) (2 Credit, Elective) (M2244) (3094)
  (1042) (資管四 MI4) (選修2學分) (2016.02-2016.06)
  (週二 Tue, 3, 4, 10:10-12:00) (B216)
• 資訊安全概論 (Introduction to Information Security) (MI3C) (Spring 2016)
  (MI3C) (2 Credit, Required) (M1058)
  (1042) (資管三C MI3C) (必修2學分) (2016.02-2016.06)
  (週四 Thu, 8, 9, 14:10-16:00) (B607)

• 社 群運算與大數據分析 (Social Computing and Big Data Analytics) (MIS MBA) (Spring 2016)
  (MIS MBA) (2 Credits, Elective) (M2226) (8628)
  (1042) (資管所碩士班) (選修2學分) (2016.02-2016.06)
  (週三 Wed, 8,9, 15:10-17:00) (B309)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2016/02/17    Course Orientation for Social Computing and Big Data Analytics (社群運算與大數據分析課程介紹)   [ppt] [pdf]
  2    2016/02/24    Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data (資料科學與大數據分析：探索、分析、視覺化與呈現資料)   [ppt] [pdf]
  3    2016/03/02    Fundamental Big Data: MapReduce Paradigm, Hadoop and Spark Ecosystem (大數據基礎：MapReduce典範、Hadoop與Spark生態系統)   [ppt] [pdf] [Classroom Updated: B309]
  4    2016/03/09    Big Data Processing Platforms with SMACK: Spark, Mesos, Akka, Cassandra and Kafka (大數據處理平台SMACK：Spark, Mesos, Akka, Cassandra, Kafka)   [ppt] [pdf]
  5    2016/03/16    Big Data Analytics with Numpy in Python (Python Numpy 大數據分析)   [ppt] [pdf]
  6    2016/03/23    Finance Big Data Analytics with Pandas in Python (Python Pandas 財務大數據分析)   [ppt] [pdf]
  7    2016/03/30    Text Mining Techniques and Natural Language Processing (文字探勘分析技術與自然語言處理)   [ppt] [pdf]
  8    2016/04/06    Off-campus study (教學行政觀摩日)
  9    2016/04/13    Social Media Marketing Analytics (社群媒體行銷分析)   [ppt] [pdf]
  10    2016/04/20    期中報告 (Midterm Project Report)
  11    2016/04/27    Deep Learning with Theano and Keras in Python (Python Theano 和 Keras 深度學習)   [ppt] [pdf]
  12    2016/05/04    Deep Learning with Google TensorFlow (Google TensorFlow 深度學習)   [ppt] [pdf]
  13    2016/05/11    Sentiment Analysis on Social Media with Deep Learning (深度學習社群媒體情感分析)   [ppt] [pdf]
  14    2016/05/18    Social Network Analysis (社會網絡分析)   [ppt] [pdf]
  15    2016/05/25    Measurements and Tools of Social Network Analysis (社會網絡分析量測與工具)   [ppt] [pdf]
  16    2016/06/01    Final Project Presentation I (期末報告 I)
  17    2016/06/08    Practice of Big Data Analytics in Teradata (Teradata 大數據分析實務)  [Invited Speaker: Irene Chen (陳維君), Consultant, Teradata]
  18    2016/06/15    Final Project Presentation II (期末報告 II)
• References:  
  1. SAS Big Data Champion 2016
  2. SAS Resource  
  3. SAS Enterprise Guide (SAS EG)  [Secured Data]
  4. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  5. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  6. SASMining2012 Final List [pdf]

• 社 群網路行銷管理 (Social Media Marketing Management) (MIS EMBA) (Spring 2016)
  (MIS EMBA) (3 Credits, Elective) (M2200) (8615)
  (1042) (資管所碩士在職專班) (選修3學分) (2016.02-2016.06)
  (週四 Thu, 12,13,14, 19:20-22:10) (D309)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2016/02/18    社 群網路行銷管理課程介紹 (Course Orientation for Social Media Marketing Management)   [ppt] [pdf]
  2    2016/02/25    社 群網路商業模式 (Business Models of Social Media)   [ppt] [pdf]
  3    2016/03/03    顧 客價值與品牌 (Customer Value and Branding)   [ppt] [pdf] [Invited Speaker: Elvis Hung, Sr. IS Manager, KERING TAIWAN (GUCCI GROUP)]
  4    2016/03/10    社 群網路消費者心理與行為 (Consumer Psychology and Behavior on Social Media)   [ppt] [pdf]
  5    2016/03/17    社 群網路行銷蜻蜓效應 (The Dragonfly Effect of Social Media Marketing)   [ppt] [pdf]
  6    2016/03/24    社群網路行銷管理個案研究 I (Case Study on Social Media Marketing Management I)
  7    2016/03/31    行 銷傳播研究 (Marketing Communications Research)   [ppt] [pdf]
  8    2016/04/07    教學行政觀摩日 (Off-campus study)
  9    2016/04/14    社 群網路行銷計劃 (Social Media Marketing Plan)   [ppt] [pdf]
  10    2016/04/21    期中報告 (Midterm Presentation)
  11    2016/04/28    行 動 APP 行銷 (Mobile Apps Marketing)   [ppt] [pdf]
  12    2016/05/05    社 群口碑與社群網路探勘 (Social Word-of-Mouth and Web Mining on Social Media)   [ppt] [pdf]
  13    2016/05/12    深 度學習社群網路情感分析 (Deep Learning for Sentiment Analysis on Social Media)   [ppt] [pdf]
  14    2016/05/19    社群網路行銷管理個案研究 II (Case Study on Social Media Marketing Management II)
  15    2016/05/26    Google TensorFlow 深度學習 (Deep Learning with Google TensorFlow)   [ppt] [pdf]
  16    2016/06/02    期末報告 I  (Term Project Presentation I)
  17    2016/06/09    端午節(放假一天)
  18    2016/06/16    期末報告 II  (Term Project Presentation II)

• 巨 量資料探勘 (Big Data Mining) (MI4P) (Spring 2016)
  (MI4) (2 Credit, Elective) (M2244) (3094)
  (1042) (資管四 MI4) (選修2學分) (2016.02-2016.06)
  (週二 Tue, 3, 4, 10:10-12:00) (B216)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2016/02/16    巨 量資料探勘課程介紹 (Course Orientation for Big Data Mining)   [ppt] [pdf]
  2    2016/02/23    巨 量資料基礎：MapReduce典範、Hadoop與Spark生態系統 (Fundamental Big Data: MapReduce Paradigm, Hadoop and Spark Ecosystem)   [ppt] [pdf]
  3    2016/03/01    關 連分析 (Association Analysis)   [ppt] [pdf]
  4    2016/03/08    分 類與預測 (Classification and Prediction)   [ppt] [pdf]
  5    2016/03/15    分 群分析 (Cluster Analysis)   [ppt] [pdf]
  6    2016/03/22    個 案分析與實作一 (SAS EM 分群分析)： Case Study 1 (Cluster Analysis – K-Means using SAS EM)   [ppt] [pdf] [EM_Data]
  7    2016/03/29    個 案分析與實作二 (SAS EM 關連分析)： Case Study 2 (Association Analysis using SAS EM)   [ppt] [pdf] [EM_Data]
  8    2016/04/05    教學行政觀摩日 (Off-campus study)
  9    2016/04/12    期中報告 (Midterm Project Presentation)
  10    2016/04/19    期中考試週 (Midterm Exam)
  11    2016/04/26    個 案分析與實作三 (SAS EM 決策樹、模型評估)： Case Study 3 (Decision Tree, Model Evaluation using SAS EM)   [ppt] [pdf] [EM_Data]
  12    2016/05/03    個 案分析與實作四 (SAS EM 迴歸分析、類神經網路)：Case Study 4 (Regression Analysis, Artificial Neural Network using SAS EM)   [ppt] [pdf] [EM_Data]
  13    2016/05/10    Google TensorFlow 深度學習 (Deep Learning with Google TensorFlow)   [ppt] [pdf]
  14    2016/05/17    期末報告 (Final Project Presentation)
  15    2016/05/24    畢業班考試  (Final Exam)
• References:  
  1. SAS Big Data Champion 2016
  2. SAS Resource  
  3. SAS Enterprise Guide (SAS EG)  [Secured Data]
  4. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  5. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  6. SASMining2012 Final List [pdf]

• 資 訊安全概論 (Introduction to Information Security) (MI3C) (Spring 2016)
  (MI3C) (2 Credit, Required) (M1058)
  (1042) (資管三C MI3C) (必修2學分) (2016.02-2016.06)
  (週四 Thu, 8, 9, 14:10-16:00) (B608)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2016/02/18    資 訊安全概論課程介紹    [ppt] [pdf]
  2    2016/02/25    資訊安全概論   [Secured PPT] [Secured PDF]
  3    2016/03/03    資訊法律與事件處理   [Secured PPT] [Secured PDF] (B608)
  4    2016/03/10    資訊安全威脅   [Secured PPT] [Secured PDF]
  5    2016/03/17    駭客手法研究   [Secured PPT] [Secured PDF]
  6    2016/03/24    認證、授權與存取控制   [Secured PPT] [Secured PDF]
  7    2016/03/31    資訊安全架構與設計   [Secured PPT] [Secured PDF]
  8    2016/04/07    教學行政觀摩日
  9    2016/04/14    期中報告
  10    2016/04/21    期中考試週   [Download Midterm Review Secured PPT]  [Download Midterm Review Secured PDF]
  11    2016/04/28    基礎密碼學   [Secured PPT] [Secured PDF]
  12    2016/05/05    資訊系統與網路模型   [Secured PPT] [Secured PDF]
  13    2016/05/12    防火牆與使用政策   [Secured PPT] [Secured PDF]
  14    2016/05/19    入侵偵測與多層次防禦   [Secured PPT] [Secured PDF]
  15    2016/05/26    資訊安全管理系統   [Secured PPT] [Secured PDF]
  16    2016/06/02    期末報告
  17    2016/06/09    端午節(放假一天)
  18    2016/06/16    期末考試週

• 社群網路應用程式設計 (Social Media Apps Programming) (Fall 2015)
  (MIS MBA) (2 Credits, Elective)(8657) [Full English Course]
  (1041) (資管所碩士班) (選修2學分) [全英語授課] (2015.09-2016.01)
  (週三 Wed, 9,10, 16:10-18:00) (B310)
• 資訊管理個案 (Case Study for Information Management) (Fall 2015)
  (MI4B) (3 Credit Required)
  (1041) (資管四B MI4B) (必修3學分) (2015.09-2016.01) 
  (週二 Tue, 3,4, 10:10-12:00) (L212), (週四 Thu, 9, 16:10-17:00) (B601)
• 資訊管理個案 (Case Study for Information Management) (Fall 2015)
  (MI4C) (3 Credit, Required)
  (1041) (資管四C MI4C) (必修3學分) (2015.09-2016.01)
  (週二 Tue, 2, 9:10-10:00) (L212), (週四 Thu, 7,8, 14:10-16:00) (B601)
• 資訊數位服務 (Digital Information Services) (Fall 2015)
  (MI3) (2 Credit, Elective)
  (1041) (資管三 MI3) (選修2學分) (2015.09-2016.01)
  (週六 Sat, 8, 9, 15:10-17:00) (B310)
• 大學學習 (Learning in University) (Fall 2015)
  (MI1B) (2 Credit, Required)
  (1041) (資管一B MI1B) (必修1學分) (2015.09-2016.01)
  (週三 Wed, 8, 15:10-16:00) (B309)

• Social Media Apps Programming  (Fall 2015) (2015.09-2016.01)
  (MIS MBA) (2 Credits, Elective)(8657) [Full English Course]
  (Wed, 9,10, 16:10-18:00) (B310)
• Week    Date    Subject/Topics
  1    2015/09/16    Course Orientation and Introduction to Social Media and Mobile Apps Programming  [ppt] [pdf]
  2    2015/09/23    Introduction to Android / iOS Apps Programming  [ppt] [pdf]
  3    2015/09/30    Developing Android Native Apps with Java (Android Studio) (MIT App Inventor)   [ppt] [pdf]
  4    2015/10/07    Developing iPhone / iPad Native Apps with Swift (XCode)  [ppt] [pdf]
  5    2015/10/14    Mobile Apps using HTML5/CSS3/JavaScript   [ppt] [pdf]
  6    2015/10/21    jQuery Mobile   [ppt] [pdf]
  7    2015/10/28    Create Hybrid Apps with Phonegap   [ppt] [pdf]
  8    2015/11/04    jQuery Mobile/Phonegap   [ppt] [pdf]
  9    2015/11/11    jQuery Mobile/Phonegap   [ppt] [pdf]
  10    2015/11/18    Midterm Exam Week (Midterm Project Report)
  11    2015/11/25   Invited Talk: Business Intelligent and Analysis in PIXNET, the Dominant Blog Platform in Taiwan [Invited Speaker: Dr. Rick Cheng-Yu Lu, CTO, PIXNET]
  12    2015/12/02    Case Study on Social Media Apps Programming and Marketing in Google Play and App Store   [ppt] [pdf]
  13    2015/12/09    Google Cloud Platform   [ppt] [pdf]
  14    2015/12/16    Google App Engine and Google Map API   [ppt] [pdf]
  15    2015/12/23    Facebook API (Facebook JavaScript SDK)(Integrate Facebook with iOS/Android Apps)   [ppt] [pdf]
  16    2015/12/30    Twitter API   [ppt] [pdf]
  17    2016/01/06    Final Project Presentation
  18    2016/01/13    Final Exam Week (Final Project Presentation)

• 資 訊管理個案 (Case Study for Information Management) (Fall 2015)
  (MI4B) (3 Credit Required)
  (1041) (資管四B MI4B) (必修3學分) (2015.09-2016.01) 
  (週二 Tue, 3,4, 10:10-12:00) (B502), (週四 Thu, 9, 16:10-17:00) (B601)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2015/09/15, 17    Introduction to Case Study for Information Management   [ppt] [pdf] 
  2    2015/09/22, 24    Information Systems in Global Business: UPS  (Chap. 1)  [ppt] [pdf] 
  3    2015/09/29, 10/01    Global E-Business and Collaboration: P&G  (Chap. 2)  [ppt] [pdf] 
  4    2015/10/06, 08    Information Systems, Organization, and Strategy: Starbucks  (Chap. 3)   [ppt] [pdf]   (Classroom Updated: B502 on Tuesday)
  5    2015/10/13, 15    Ethical and Social Issues in Information Systems: Facebook  (Chap. 4)   [ppt] [pdf] 
  6    2015/10/20, 22    IT Infrastructure and Emerging Technologies: Amazon and Cloud Computing  (Chap. 5)   [ppt] [pdf] 
  7    2015/10/27, 29    Foundations of Business Intelligence: IBM and Big Data  (Chap. 6)   [ppt] [pdf] 
  8    2015/11/03, 05    Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft  (Chap. 7)   [ppt] [pdf] 
  9    2015/11/10, 12    Midterm Report (期中報告)
  10    2015/11/17, 19    期中考試週
  11    2015/11/24, 26    Enterprise Applications: Summit and SAP  (Chap. 9)   [ppt] [pdf] 
  12    2015/12/01, 03    (2015/12/01 10:10-12:00)(B502) Big Data is Everywhere - How Etu Realizes Consumer-centric Data Technology [Invited Speaker: Fred Chiang, CEO at Etu]  
                                      E-commerce: Zagat  (Chap. 10)   [ppt] [pdf] 
  13    2015/12/08, 10    Enhancing Decision Making: Zynga  (Chap. 12)   [ppt] [pdf] 
  14    2015/12/15, 17    Building Information Systems: USAA  (Chap. 13)   [ppt] [pdf] 
  15    2015/12/22, 24    Managing Projects: NYCAPS and CityTime  (Chap. 14)   [ppt] [pdf] 
  16    2015/12/29, 31    Final Report I (期末報告 I)
  17    2016/01/05, 07    Final Report II (期末報告 II)
  18    2016/01/12, 14    期末考試週
• Ref:  1041/Case/Case_Study_IM_C
• Ref:  1041/Case/MIS_Job_Salary_Survey_2015

• 資 訊管理個案 (Case Study for Information Management) (Fall 2015)
  (MI4C) (3 Credit, Required)
  (1041) (資管四C MI4C) (必修3學分) (2015.09-2016.01)
  (週二 Tue, 2, 9:10-10:00) (B502), (週四 Thu, 7,8, 14:10-16:00) (B601)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2015/09/15, 17    Introduction to Case Study for Information Management   [ppt] [pdf] 
  2    2015/09/22, 24    Information Systems in Global Business: UPS  (Chap. 1)   [ppt] [pdf] 
  3    2015/09/29, 10/01    Global E-Business and Collaboration: P&G  (Chap. 2)   [ppt] [pdf]
  4    2015/10/06, 08    Information Systems, Organization, and Strategy: Starbucks  (Chap. 3)   [ppt] [pdf]   (Classroom Updated: B502 on Tuesday)
  5    2015/10/13, 15    Ethical and Social Issues in Information Systems: Facebook  (Chap. 4)   [ppt] [pdf]
  6    2015/10/20, 22    IT Infrastructure and Emerging Technologies: Amazon and Cloud Computing  (Chap. 5)   [ppt] [pdf]
  7    2015/10/27, 29    Foundations of Business Intelligence: IBM and Big Data  (Chap. 6)   [ppt] [pdf]
  8    2015/11/03, 05    Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft  (Chap. 7)   [ppt] [pdf]
  9    2015/11/10, 12    Midterm Report (期中報告)
  10    2015/11/17, 19    期中考試週
  11    2015/11/24, 26    Enterprise Applications: Summit and SAP  (Chap. 9)   [ppt] [pdf]
  12    2015/12/01, 03    E-commerce: Zagat  (Chap. 10)   [ppt] [pdf]
  13    2015/12/08, 10    (2015/12/10 14:10-16:00)(B601) Big Data Analytics: a Case Study of Insight from PIXNET [Invited Speaker: Dr. Rick Cheng-Yu Lu, CTO, PIXNET]
                                      Enhancing Decision Making: Zynga  (Chap. 12)   [ppt] [pdf]
  14    2015/12/15, 17    Building Information Systems: USAA  (Chap. 13)   [ppt] [pdf]
  15    2015/12/22, 24    Managing Projects: NYCAPS and CityTime  (Chap. 14)   [ppt] [pdf]
  16    2015/12/29, 31    Final Report I (期末報告 I)
  17    2016/01/05, 07    Final Report II (期末報告 II)
  18    2016/01/12, 14    期末考試週

• 資 訊數位服務 (Digital Information Services) (Fall 2015)
  (MI3) (2 Credit, Elective)
  (1041) (資管三 MI3) (選修2學分) (2015.09-2016.01)
  (週六 Sat, 8, 9, 15:10-17:00) (B310)
• [課程公告：潤福生活新象社區資訊數位服務團隊 出隊 通知]
  集合時間：2015/10/03 (六) 早上9:20 (準時出發)
  集合地點：淡江大學游泳館大門口
  集合連絡人：資管4C-陳怡馨 (班代)
  地址：新北市淡水區學府路139號
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1   2015/09/19   資 訊數位服務課程介紹，講解課程大綱，專業理論講述。(準備階段)     [ppt] [pdf] 
  2   2015/09/26   課程學習，校外服務(前置期)：分組及確立服務工作推展細部計畫與工作分配。服務方案資料蒐整。(準備階段)  
  3   2015/10/03   課程學習，校外服務(前置期)：建立淡江大學與服務對象間的聯絡管道，進行初步意願確認。服務方案資料蒐整。(準備階段)  
  4   2015/10/10   國慶紀念日(放假一天)  
  5   2015/10/17   課程學習，校外服務(探索期)：訪談服務對象，了解其系統需求。服務方案資料蒐整，服務方案設計。(準備階段)  
  6   2015/10/24   課程學習，討論與反思：檢討目前進度。(反思階段)  
  7   2015/10/31   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)  
  8   2015/11/07   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)  
  9   2015/11/14   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。期中評量（繳交報告） (服務階段)  
  10   2015/11/21   期中考試週   期中評量（繳交報告）
  11   2015/11/28   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)  
  12   2015/12/05   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)  
  13   2015/12/12   課程學習，校外服務(教育訓練及維護期)：進行教育訓練及系統維護。服務方案執行與討論。(服務階段)  
  14   2015/12/19   課程學習，校外服務(教育訓練及維護期)：進行教育訓練及系統維護。服務方案執行與討論。(服務階段)  
  15   2015/12/26   課程學習，服務方案評估，服務歷程反思。(反思階段)  
  16   2016/01/02   課程學習，服務方案評估，服務歷程反思。(反思階段)  
  17   2016/01/09   課程學習，課程回顧，服務經驗交流與分享。期末評量（繳交報告）(慶賀階段)  
  18   2016/01/16   期末考試週   期末評量（繳交報告）
• 參 考資料：
  (1) 2012 新 北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [NTPC DV Magazine 2012]
  (2) 2011 新北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [pdf] [pdf] [NTPC DV Magazine 2011]
  (3) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫 [pdf]
  (4) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫結案報告 [pdf]
  (5) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫簡報  [pdf]
  
  
  
• 大 學學習 (Learning in University) (Fall 2015)
  (MI1B) (2 Credit, Required)
  (1041) (資管一B MI1B) (必修1學分) (2015.09-2016.01)
  (週三 Wed, 8, 15:10-16:00) (B309)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2015/09/16    課程介紹    導師
  2    2015/09/23    大學與本系等相關訊息(一)    導師
  3    2015/09/30    認識校園資訊服務    資訊處
  4    2015/10/07    大學與本系等相關訊息(二)    導師
  5    2015/10/14    生活與心理適應－遇見真實的自己    諮商輔導組
  6    2015/10/21    圖書館利用素養(一)    圖書館
  7    2015/10/28    圖書館利用素養(二)    圖書館
  8    2015/11/04    美感．品味．創意：你不可不知的文錙藝術中心    文錙藝術中心
  9    2015/11/11    學習及生涯規劃與指導(一)    導師
  10    2015/11/18    期中考試週   
  11    2015/11/25    生活與心理適應－瞭解自己的真實    諮商輔導組
  12    2015/12/02    彩繪青春－大學生生涯探索    諮商輔導組
  13    2015/12/09    UCAN－You can do it.    諮商輔導組
  14    2015/12/16    畢業系友經驗分享    導師  [Invited Speaker: Irene Chen (陳維君), Consultant, Teradata]
  15    2015/12/23    學習及生涯規劃與指導(二)    導師
  16    2015/12/30    班際交流活動競賽    導師
  17    2016/01/06    課程總結、成果驗收    導師
  18    2016/01/13    期末考試週   

• 社群網路行銷分析 (Social Media Marketing Analytics) (Spring 2015)
  (MIS EMBA) (3 Credits, Elective) (M2215)
  (1032) (資管所碩士在職專班) (選修3學分) (2015.02-2015.06)
  (週五 Fri, 12,13,14, 19:20-22:10) (D326)
  
• 資料探勘 (Data Mining) (Spring 2015)
  (MI4) (2 Credits, Elective) (M0947)
  (1032) (資管四 MI4) (選修2學分) (2015.02-2015.06)
  (週三 Wed, 7,8, 14:10-16:00) (B130)
• 商業智慧實務 (Practices of Business Intelligence) (Spring 2015)
  (MI4) (2 Credits, Elective) (M2084)
  (1032) (資管四 MI4) (選修2學分) (2015.02-2015.06)
  (週三 Wed, 9,10, 16:10-18:00) (B130)
• 企業網路系統研究 (Enterprise Networking Systems Research) (VMware vSphere) (Spring 2015)
  (MI4) (2 Credits, Elective) (M1750)
  (1032) (資管四 MI4) (選修2學分) (2015.02-2015.06)
  (週四 Thu, 7,8, 14:10-16:00) (B310)
• 專 案管理實務 (Practices of Project Management) (Spring 2015)
  (MIS MBA) (1 Credits, Elective) (M1984)
  (1032) (資管所碩士班) (選修1學分) (2015.02-2015.06)
  (週六 Sat, 1, 8:10-9:00) 

• 社 群網路行銷分析 (Social Media Marketing Analytics) (Spring 2015)
  (MIS EMBA) (3 Credits, Elective) (M2215)
  (1032) (資管所碩士在職專班) (選修3學分) (2015.02-2015.06)
  (週五 Fri, 12,13,14, 19:20-22:10) (D326)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2015/02/27    和平紀念日補假(放假一天)
  2    2015/03/06    社 群網路行銷分析課程介紹 (Course Orientation for Social Media Marketing Analytics)   [ppt] [pdf]
  3    2015/03/13    社 群網路行銷分析 (Social Media Marketing Analytics)   [ppt] [pdf]
  4    2015/03/20    社 群網路行銷研究 (Social Media Marketing Research)   [ppt] [pdf]
  5    2015/03/27    測 量構念 (Measuring the Construct)   [ppt] [pdf]
  6    2015/04/03    兒童節補假(放假一天)
  7    2015/04/10    社群網路行銷個案分析 I (Case Study on Social Media Marketing I)
  8    2015/04/17    測 量與量表 (Measurement and Scaling)   [ppt] [pdf]
  9    2015/04/24    探 索性因素分析 (Exploratory Factor Analysis)   [ppt] [pdf]
  10    2015/05/01    社群運算與大數據分析 (Social Computing and Big Data Analytics) [Invited Speaker: Irene Chen, Consultant, Teradata]
  11    2015/05/08    期中報告 (Midterm Presentation) 
  12    2015/05/15    確 認性因素分析 (Confirmatory Factor Analysis)   [ppt] [pdf]
  13    2015/05/22    社 會網路分析 (Social Network Analysis)   [ppt] [pdf]
  14    2015/05/29    社群網路行銷個案分析 II (Case Study on Social Media Marketing II)
  15    2015/06/05    社 群網路情感分析 (Sentiment Analysis on Social Media)   [ppt] [pdf]
  16    2015/06/12    期末報告 I (Term Project Presentation I)
  17    2015/06/19    端午節補假 (放假一天)
  18    2015/06/26    期末報告 II  (Term Project Presentation II)

• 資 料探勘 (Data Mining) (Spring 2015)
  (MI4) (2 Credits, Elective) (M0947)
  (1032) (資管四 MI4) (選修2學分) (2015.02-2015.06)
  (週三 Wed, 7,8, 14:10-16:00) (B130)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2015/02/25    資 料探勘導論 (Introduction to Data Mining)   [ppt] [pdf]
  2    2015/03/04    關 連分析 (Association Analysis)   [ppt] [pdf]
  3    2015/03/11    分 類與預測 (Classification and Prediction)   [ppt] [pdf]
  4    2015/03/18    分 群分析 (Cluster Analysis)   [ppt] [pdf]
  5    2015/03/25    個 案分析與實作一 (SAS EM 分群分析)： Case Study 1 (Cluster Analysis – K-Means using SAS EM)   [ppt] [pdf] [EM_Data]
  6    2015/04/01    教學行政觀摩日 (Off-campus study)
  7    2015/04/08    個 案分析與實作二 (SAS EM 關連分析)： Case Study 2 (Association Analysis using SAS EM)   [ppt] [pdf] [EM_Data]
  8    2015/04/15    個 案分析與實作三 (SAS EM 決策樹、模型評估)： Case Study 3 (Decision Tree, Model Evaluation using SAS EM)   [ppt] [pdf] [EM_Data]
  9    2015/04/22    期中報告 (Midterm Project Presentation)
  10    2015/04/29    期中考試週 (Midterm Exam)   [Secured Midterm Exam Solutions]
  11    2015/05/06    個 案分析與實作四 (SAS EM 迴歸分析、類神經網路)：Case Study 4 (Regression Analysis, Artificial Neural Network using SAS EM)   [ppt] [pdf] [EM_Data]
  12    2015/05/13    海 量資料分析 (Big Data Analytics)   [ppt] [pdf]
  13    2015/05/20    文 字探勘與網頁探勘 (Text and Web Mining)   [ppt] [pdf]
  14    2015/05/27    期末報告 (Final Project Presentation)
  15    2015/06/03    畢業考試週 (Final Exam)   [Secured Midterm Exam Solutions]
• References:  
  1. SAS Big Data 2015
  2. Etu Hadoop Competition 2015 (EHC 2015): Big Data Analytics and Prediction
  3. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  4. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  5. SAS Enterprise Miner SAS EM 4Steps Step by Step v20120413 [doc] [pdf]
  6. SASMining2012 Final List [pdf]

• 商 業智慧實務 (Practices of Business Intelligence) (Spring 2015)
  (MI4) (2 Credits, Elective) (M2084)
  (1032) (資管四 MI4) (選修2學分) (2015.02-2015.06)
  (週三 Wed, 9,10, 16:10-18:00) (B130)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2015/02/25    商 業智慧導論 (Introduction to Business Intelligence)   [ppt] [pdf]
  2    2015/03/04    管 理決策支援系統與商業智慧 (Management Decision Support System and Business Intelligence)   [ppt] [pdf]
  3    2015/03/11    企 業績效管理 (Business Performance Management)   [ppt] [pdf]
  4    2015/03/18    資 料倉儲 (Data Warehousing)   [ppt] [pdf]
  5    2015/03/25    商 業智慧的資料探勘 (Data Mining for Business Intelligence)   [ppt] [pdf] [EM_Data]
  6    2015/04/01    教學行政觀摩日 (Off-campus study)
  7    2015/04/08    商 業智慧的資料探勘 (Data Mining for Business Intelligence)   [ppt] [pdf] [EM_Data]
  8    2015/04/15    資 料科學與巨量資料分析 (Data Science and Big Data Analytics)   [ppt] [pdf]
  9    2015/04/22    期中報告 (Midterm Project Presentation)
  10    2015/04/29    期中考試週 (Midterm Exam)  [Secured Midterm Exam Solutions]
  11    2015/05/06    文 字探勘與網路探勘 (Text and Web Mining)   [ppt] [pdf]
  12    2015/05/13    意 見探勘與情感分析 (Opinion Mining and Sentiment Analysis)   [ppt] [pdf]
  13    2015/05/20    社 會網路分析 (Social Network Analysis)   [ppt] [pdf]
  14    2015/05/27    期末報告 (Final Project Presentation)
  15    2015/06/03    畢業考試週 (Final Exam)   [Secured Midterm Exam Solutions]

• 企 業網路系統研究 (Enterprise Networking Systems Research) (VMware vSphere) (Spring 2015)
  (MI4) (2 Credits, Elective) (M1750)
  (1032) (資管四 MI4) (選修2學分) (2015.02-2015.06)
  (週四 Thu, 7,8, 14:10-16:00) (B310)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    2015/02/26    Course Introduction (課程介紹)   [ppt] [pdf]
  2    2015/03/05    Virtual Infrastructure Overview: Virtualization Platform for Building Cloud Infrastructures (虛擬架構概觀: 建立雲端基礎架構虛擬化平台)   [Secured PPT] [Secured PDF]
  3    2015/03/12    Creating Virtual Machines (建立虛擬機)   [Secured PPT] [Secured PDF]
  4    2015/03/19    VMware vSphere Laboratory Exercises I (VMware vSphere實作練習  I) (B206)
  5    2015/03/26    Allocating Resources to Business Functions (配置資源以維繫企業運作)  [Secured PPT] [Secured PDF]
  6    2015/04/02    教學行政觀摩日 (Off-campus study)
  7    2015/04/09    Migrating Virtual Machines (遷移虛擬機)   [Secured PPT] [Secured PDF]
  8    2015/04/16    Balancing Virtual Machine Workloads (虛擬機運作負載平衡)   [Secured PPT] [Secured PDF]
  9    2015/04/23    VMware vSphere Laboratory Exercises II (VMware vSphere實作練習  II) (B206)
  10    2015/04/30    期中考試週 (Midterm Exam)
  11    2015/05/07    Monitoring the Virtual Datacenter  (監控虛擬資料中心)   [Secured PPT] [Secured PDF]
  12    2015/05/14    High Availability and Fault Tolerance (高可用性和容錯)   [Secured PPT] [Secured PDF]
  13    2015/05/21    Build Private Cloud: Extending VMware vSphere Capabilities (建立私有雲：擴充 VMware vSphere 能力)   [Secured PPT] [Secured PDF]
  14    2015/05/28    VMware vSphere Laboratory Exercises III (VMware vSphere實作練習  III) (B206)
  15    2015/06/04    畢業考試週 (Final Exam)

• 社群網路應用程式設計 (Social Media Apps Programming) (Fall 2014)
  (MIS MBA) (2 Credits, Elective) (M2143) [Full English Course]
  (1031) (資管所碩士班) (選修2學分) [全英語授課] (2014.09-2015.01)
  (週三 Wed, 8,9, 15:10-17:00) (V201)
  
• 資訊管理個案 (Case Study for Information Management) (Fall 2014)
  (MI4A) (3 Credit Required) (M1824)
  (1031) (資管四A MI4A) (必修3學分) (2014.09-2015.01)
  (週四 Thu, 8,9,10, 15:10-18:00) (B608)
  
• 資訊管理個案 (Case Study for Information Management) (Fall 2014)
  (MI4C) (3 Credit, Required) (M1824)
  (1031) (資管四C MI4C) (必修3學分) (2014.09-2015.01)
  (週二 Tue, 2,3,4, 9:10-12:00) (B425)
  
• 資訊數位服務 (Digital Information Services) (Fall 2014)
  (MI3) (2 Credit, Elective) (M1891)
  (1031) (資管三 MI3) (選修2學分) (2014.09-2015.01)
  (週六 Sat, 8, 9, 15:10-17:00) 

• Social Media Apps Programming (Fall 2014)(2014.09-2015.01)
  (MIS MBA) (2 Credits, Elective) (M2143) [Full English Course]
  (Wed, 8, 9, 15:10-17:00)(V201)
• Week    Date    Subject/Topics
  1    2014/09/17    Course Orientation and Introduction to Social Media and Mobile Apps Programming  [ppt] [pdf]
  2    2014/09/24    Introduction to Android / iOS Apps Programming   [ppt] [pdf]
  3    2014/10/01    Developing Android Native Apps with Java (Eclipse) (MIT App Inventor)   [ppt] [pdf]
  4    2014/10/08    Developing iPhone / iPad Native Apps with Swift / Objective-C (XCode)   [ppt] [pdf]
  5    2014/10/15    Mobile Apps Using HTML5/CSS3/JavaScript   [ppt] [pdf]
  6    2014/10/22    jQuery Mobile   [ppt] [pdf]
  7    2014/10/29    Create Hybrid Apps with Phonegap   [ppt] [pdf]
  8    2014/11/05    jQuery Mobile/Phonegap  [ppt] [pdf]
  9    2014/11/12    jQuery Mobile/Phonegap  [ppt] [pdf]
  10    2014/11/19    Midterm Exam Week (Midterm Project Report)
  11    2014/11/26    Case Study on Social Media Apps Programming and Marketing in Google Play and App Store  [ppt] [pdf]
  12    2014/12/03    Google Cloud Platform   [ppt] [pdf]
  13    2014/12/10    Invited Talk: Social, Data and Business Model - Let’s see PIXNET [Invited Speaker: Dr. Rick Cheng-Yu Lu, Technical Director, PIXNET]
  14    2014/12/17    Google App Engine and Google Maps API   [ppt] [pdf]
  15    2014/12/24    Facebook API (Facebook JavaScript SDK)(Integrate Facebook with iOS/Android Apps)   [ppt] [pdf]
  16    2014/01/31    Twitter API   [ppt] [pdf]
  17    2015/01/07    Final Project Presentation   [ppt] [pdf]
  18    2015/01/14    Final Exam Week (Final Project Report)   [ppt] [pdf]

• 資 訊管理個案 (Case Study for Information Management) (Fall 2014)
  (MI4A) (3 Credit Required) (M1824)
  (1031) (資管四A MI4A) (必修3學分) (2014.09-2015.01)
  (週四 Thu, 8,9,10, 15:10-18:00) (B608) 
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    103/09/18    Introduction to Case Study for Information Management   [ppt] [pdf] 
  2    103/09/25    Information Systems in Global Business: UPS  (Chap. 1)   [ppt] [pdf]
  3    103/10/02    Global E-Business and Collaboration: NTUC Income  (Chap. 2)   [ppt] [pdf]
  4    103/10/09    Information Systems, Organization, and Strategy: iPad and Apple  (Chap. 3)   [ppt] [pdf]
  5    103/10/17    IT Infrastructure and Emerging Technologies: Salesforce.com  (Chap. 5)   [ppt] [pdf]
  6    103/10/24    Foundations of Business Intelligence: Lego   (Chap. 6)   [ppt] [pdf]
  7    103/10/31    Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft (Chap. 7)   [ppt] [pdf]
  8    103/11/06    Case Study: IT Profession in Silicon Valley [Invited Speaker: Jessica Tien]  [Outline]
  9    103/11/13    Securing Information System: Facebook  (Chap. 8)   [ppt] [pdf]  
  10    103/11/20    期中考試週   
  11    103/11/27    Midterm Report (期中報告)
  12    103/12/04    Enterprise Application: Border States Industries Inc. (BSE)  (Chap. 9)   [ppt] [pdf] 
  13    103/12/11    E-commerce: Amazon vs. Walmart  (Chap. 10)   [ppt] [pdf] 
  14    103/12/18    Knowledge Management: Tata Consulting Services  (Chap. 11)   [ppt] [pdf]
  15    103/12/25    Final Report I (期末報告 I)
  16    104/01/01    開國紀念日(放假一天) (New Year’s Day)(Day off)   
  17    104/01/08    Final Report II (期末報告 II)   
  18    104/01/15    期末考試週 
• Ref:  1031/Case/Case_Study_IM_C

• 資 訊管理個案 (Case Study for Information Management) (Fall 2014)
  (MI4C) (3 Credit, Required) (M1824)
  (1031) (資管四C MI4C) (必修3學分) (2014.09-2015.01)
  (週二 Tue, 2,3,4, 9:10-12:00) (B425)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    103/09/16    Introduction to Case Study for Information Management   [ppt] [pdf]   
  2    103/09/23    Information Systems in Global Business: UPS  (Chap. 1)   [ppt] [pdf]
  3    103/09/30    Global E-Business and Collaboration: NTUC Income  (Chap. 2)   [ppt] [pdf]
  4    103/10/07    Information Systems, Organization, and Strategy: iPad and Apple  (Chap. 3)   [ppt] [pdf]
  5    103/10/14    IT Infrastructure and Emerging Technologies: Salesforce.com  (Chap. 5)   [ppt] [pdf]
  6    103/10/21    Foundations of Business Intelligence: Lego   (Chap. 6)   [ppt] [pdf]
  7    103/10/28    Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft (Chap. 7)   [ppt] [pdf]
  8    103/11/04    Securing Information System: Facebook  (Chap. 8)   [ppt] [pdf]
  9    103/11/11    Midterm Report (期中報告)   
  10    103/11/18    期中考試週   
  11    103/11/25    Enterprise Application: Border States Industries Inc. (BSE)  (Chap. 9)   [ppt] [pdf]
  12    103/12/02    E-commerce: Amazon vs. Walmart  (Chap. 10)   [ppt] [pdf]
  13    103/12/09    Knowledge Management: Tata Consulting Services  (Chap. 11)   [ppt] [pdf]
  14    103/12/16    Enhancing Decision Making: CompStat  (Chap. 12)   [ppt] [pdf]
  15    103/12/23    Building Information Systems: Electronic Medical Records  (Chap. 13)   [ppt] [pdf]
                              Managing Projects: JetBlue and WestJet  (Chap. 14)   [ppt] [pdf]
  16    103/12/30    Final Report I (期末報告I)
  17    104/01/06    Final Report II (期末報告II)   
  18    104/01/13    期末考試週   

• 資 訊數位服務 (Digital Information Services) (Fall 2014)
  (MI3) (2 Credit, Elective) (M1891)
  (1031) (資管三 MI3) (選修2學分) (2014.09-2015.01)
  (週六 Sat, 8, 9, 15:10-17:00) 
• [課程公告：潤福生活新象社區資訊數位服務團隊 出隊 通知]
  集合時間：2014/11/01(六)早上9:20 (準時出發)
  集合地點：淡江大學游泳館大門口
  集合連絡人：資管4B-方永盈 (副班代)
  地址：新北市淡水區學府路139號
  
• 週次 (Week)   日期 (Date)   內容 (Subject/Topics)
  1   103/09/20   資 訊數位服務課程介紹，講解課程大綱，專業理論講述。(準備階段)  [ppt][pdf] (課程時間地點：2014/09/20 週六 15:10-17:00, B 309)
  2   103/09/27   課程學習，校外服務(前置期)：分組及確立服務工作推展細部計畫與工作分配。服務方案資料蒐整。(準備階段)
  3   103/10/04   課程學習，校外服務(前置期)：建立淡江大學與服務對象間的聯絡管道，進行初步意願確認。服務方案資料蒐整。(準備階段)
  4   103/10/11   課程學習，校外服務(探索期)：訪談服務對象，了解其系統需求。服務方案資料蒐整，服務方案設計。(準備階段)
  5   103/10/18   課程學習，校外服務(探索期)：訪談服務對象，了解其系統需求。服務方案資料蒐整，服務方案設計。(準備階段)
  6   103/10/25   課程學習，討論與反思：檢討目前進度。(反思階段)
  7   103/11/01   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)
  8   103/11/08   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)
  9   103/11/15   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。期中評量（繳交報告） (服務階段)
  10   103/11/22   期中考試週   期中評量（繳交報告）
  11   103/11/29   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)
  12   103/12/06   課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。(服務階段)
  13   103/12/13   課程學習，校外服務(教育訓練及維護期)：進行教育訓練及系統維護。服務方案執行與討論。(服務階段)
  14   103/12/20   課程學習，校外服務(教育訓練及維護期)：進行教育訓練及系統維護。服務方案執行與討論。(服務階段)
  15   103/12/27   課程學習，服務方案評估，服務歷程反思。(反思階段)
  16   104/01/03   課程學習，服務方案評估，服務歷程反思。(反思階段)
  17   104/01/10   課程學習，課程回顧，服務經驗交流與分享。期末評量（繳交報告）(慶賀階段)
  18   104/01/17   期末考試週   期末評量（繳交報告）
• 參 考資料：
  (1) 2012 新 北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [NTPC DV Magazine 2012]
  (2) 2011 新北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [pdf] [pdf] [NTPC DV Magazine 2011]
  (3) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫 [pdf]
  (4) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫結案報告 [pdf]
  (5) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫簡報  [pdf]

• 社群網路行銷 (Social Media Marketing) (Spring 2014)
  (MIS EMBA) (3 Credits, Elective) (M2144)
  (1022) (資管所碩士在職專班) (選修3學分)  (2014.02-2014.06)
  (週一 Mon, 12,13,14, 19:20-22:10) (D504)
  
• 資料探勘 (Data Mining) (Spring 2014)
  (MI4) (2 Credits, Elective) (M0947)
  (1022) (資管四 MI4) (選修2學分)  (2014.02-2014.06)
  (週三 Wed, 6,7, 13:10-15:00) (B216)
  
• 商業智慧實務 (Practices of Business Intelligence) (Spring 2014)
  (MI4) (2 Credits, Elective) (M2084)
  (1022) (資管四 MI4) (選修2學分)  (2014.02-2014.06)
  (週三 Wed, 9,10 16:10-18:00) (B113)
  
• 企業網路系統研究 (Enterprise Networking Systems Research) (VMware vSphere) (Spring 2014)
  (MI4) (2 Credits, Elective) (M1750)
  (1022) (資管四 MI4) (選修2學分)  (2014.02-2014.06)
  (週四 Thu, 9,10, 16:10-18:00) (B310)

• 社 群網路行銷 (Social Media Marketing) (Spring 2014)
  (MIS EMBA) (3 Credits, Elective) (M2144)
  (1022) (資管所碩士在職專班) (選修3學分)  (2014.02-2014.06)
  (週一 Mon, 12,13,14, 19:20-22:10) (D504)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    103/02/17  社 會網路行銷課程介紹 (Course Orientation of Social Media Marketing)  [ppt] [pdf]
  2    103/02/24  社 群網路商業模式 (Business Models of Social Media)   [ppt] [pdf]
  3    103/03/03  顧 客價值與品牌 (Customer Value and Branding)  [ppt] [pdf]
  4    103/03/10  社 群網路消費者心理與行為 (Consumer Psychology and Behavior on Social Media)  [ppt] [pdf]
  5    103/03/17  社 群網路行銷蜻蜓效應 (The Dragonfly Effect of Social Media Marketing)  [ppt] [pdf]
  6    103/03/24  社群網路行銷個案研究 I (Case Study on Social Media Marketing I)
  7    103/03/31  教學行政觀摩日 (Off-campus study)
  8    103/04/07  行 銷傳播研究 (Marketing Communications Research)  [ppt] [pdf]
  9    103/04/14  社 群網路策略 (Social Media Strategy)   [ppt] [pdf]
  10    103/04/21  期中報告 (Midterm Presentation)
  11    103/04/28  社 群網路行銷計劃 (Social Media Marketing Plan)   [ppt] [pdf]
  12    103/05/05  行 動 APP 行銷 (Mobile Apps Marketing)   [ppt] [pdf]
  13    103/05/12  社 群網路評量指標 (Social Media Metrics)   [ppt] [pdf]
  14    103/05/19  社群網路行銷個案研究 II (Case Study on Social Media Marketing II)
  15    103/05/26  社群網路海量資料分析 (Big Data Analytics of Social Media)  [Invited Speaker: Dr. Rick Cheng-Yu Lu, CTO, PIXNET]
  16    103/06/02  端午節 放假一天 (Dragon Boat Festival)(Day off)
  17    103/06/09  期末報告 I (Term Project Presentation I)
  18    103/06/16  期末報告 II (Term Project Presentation II)
  

• 資 料探 勘 (Data Mining) (Spring 2014)
  (MI4) (2 Credits, Elective) (M0947)
  (1022) (資管四 MI4) (選修2學分)  (2014.02-2014.06)
  (週三 Wed, 6,7, 13:10-15:00) (B216)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    103/02/19    資 料探勘導論 (Introduction to Data Mining)   [ppt] [pdf]
  2    103/02/26    關 連分析 (Association Analysis)   [ppt] [pdf]
  3    103/03/05    分 類與預測 (Classification and Prediction)  [ppt] [pdf]
  4    103/03/12    分 群分析 (Cluster Analysis)   [ppt] [pdf]
  5    103/03/19    個 案分析與實 作一 (SAS EM 分群分析)： Case Study 1 (Cluster Analysis – K-Means using SAS EM)  [ppt] [pdf] [EM_Data]
  6    103/03/26    個 案分析與實 作二 (SAS EM 關連分析)： Case Study 2 (Association Analysis using SAS EM)  [ppt] [pdf] [EM_Data]
  7    103/04/02    教學行政觀摩日 (Off-campus study)
  8    103/04/09    個 案分析與實 作三 (SAS EM 決策樹、模型評估)： Case Study 3 (Decision Tree, Model Evaluation using SAS EM)  [ppt] [pdf] [EM_Data]
  9    103/04/16    期中報告 (Midterm Project Presentation)
  10    103/04/23    期中考試週 (Midterm Exam)
  11    103/04/30    個 案分析與實 作四 (SAS EM 迴歸分析、類神經網路)：Case Study 4 (Regression Analysis, Artificial Neural Network using SAS EM)  [ppt] [pdf] [EM_Data]
  12    103/05/07    文 字探勘與網 頁探勘 (Text and Web Mining)  [ppt] [pdf]
  13    103/05/14    海量資料分析 (Big Data Analytics) [Invited Speaker: Fred Chiang, the lead of Etu]
  14    103/05/21    期末報告 (Final Project Presentation)
  15    103/05/28    畢業考試週 (Final Exam)

• References:  
  1. BigData2014
  2. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  3. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  4. SAS Enterprise Miner SAS EM 4Steps Step by Step v20120413 [doc] [pdf]
  5. SASMining2012 Final List [pdf]

• 商 業智 慧實務 (Practices of Business Intelligence) (Spring 2014)
  (MI4) (2 Credits, Elective) (M2084)
  (1022) (資管四 MI4) (選修2學分)  (2014.02-2014.06)
  (週三 Wed, 9,10 16:10-18:00) (B113)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    103/02/19    商 業智慧導論 (Introduction to Business Intelligence)   [ppt] [pdf]
  2    103/02/26    管 理決策支援系統與商業智慧 (Management Decision Support System and Business Intelligence)   [ppt] [pdf]
  3    103/03/05    企 業績效管理 (Business Performance Management)   [ppt] [pdf]
  4    103/03/12    資 料倉儲 (Data Warehousing)   [ppt] [pdf]
  5    103/03/19    商 業智慧的資料探勘 (Data Mining for Business Intelligence)  [ppt] [pdf] [EM_Data]
  6    103/03/26    商 業智慧的資料探勘 (Data Mining for Business Intelligence)  [ppt] [pdf] [EM_Data]
  7    103/04/02    教學行政觀摩日 (Off-campus study)
  8    103/04/09    資料科學與巨量資料分析 (Data Science and Big Data Analytics) [Invited Speaker: Ethan Tsui, UITOX] [P1][P2]
  9    103/04/16    期中報告 (Midterm Project Presentation)
  10    103/04/23    期中考試週 (Midterm Exam)
  11    103/04/30    文 字探勘與網路探勘 (Text and Web Mining)  [ppt] [pdf]
  12    103/05/07    意 見探勘與情感分析 (Opinion Mining and Sentiment Analysis)  [ppt] [pdf]
  13    103/05/14    社 會網路分析 (Social Network Analysis)  [ppt] [pdf]
  14    103/05/21    期末報告 (Final Project Presentation)
  15    103/05/28    畢業考試週 (Final Exam)
  
  

• 企 業網 路系統研究 (Enterprise Networking Systems Research) (VMware vSphere) (Spring 2014)
  (MI4) (2 Credits, Elective) (M1750)
  (1022) (資管四 MI4) (選修2學分)  (2014.02-2014.06)
  (週四 Thu, 9,10, 16:10-18:00) (B310)
• 週次 (Week)    日期 (Date)    內容 (Subject/Topics)
  1    103/02/20    Course Introduction (課程介紹)   [ppt] [pdf]
  2    103/02/27    Virtual Infrastructure Overview: Virtualization Platform for Building Cloud Infrastructures (虛擬架構概觀: 建立雲端基礎架構虛擬化平台)  [Secured PPT] [Secured PDF]
  3    103/03/06    Creating Virtual Machines (建立虛擬機)  [Secured PPT] [Secured PDF]
  4    103/03/13    VMware vSphere Laboratory Exercises I (VMware vSphere實作練習  I) (B206)
  5    103/03/20    Allocating Resources to Business Functions (配置資源以維繫企業運作)  [Secured PPT] [Secured PDF]
  6    103/03/27    Migrating Virtual Machines (遷移虛擬機)  [Secured PPT] [Secured PDF]
  7    103/04/03    教學行政觀摩日 (Off-campus study)
  8    103/04/10    VMware vSphere Laboratory Exercises II (VMware vSphere實作練習  II) (B206)
  9    103/04/17    Balancing Virtual Machine Workloads (虛擬機運作負載平衡)  [Secured PPT] [Secured PDF]
  10    103/04/24    期中考試週 (Midterm Exam)   [Download Midterm Review Secured PDF]
  11    103/05/01    Monitoring the Virtual Datacenter  (監控虛擬資料中心)   [Secured PPT] [Secured PDF]
  12    103/05/08    建 構企業雲 端資訊系統專案管理 [Invited Speaker: 黃嘉建，美兆集團資訊長 (Jacky Huang, CIO, MJ Group)] [ppt] [pdf]
  13    103/05/15    High Availability and Fault Tolerance (高可用性和容錯)
                              Build Private Cloud: Extending VMware vSphere Capabilities (建立私有雲：擴充 VMware vSphere 能力)  [Secured PPT] [Secured PDF]
  14    103/05/22    VMware vSphere Laboratory Exercises III (VMware vSphere實作練習  III) (B206)
  15    103/05/29    畢業考試週 (Final Exam)
  

• 社群網路應用程式設計 (Social Media Apps Programming) (Fall 2013)
  (MIS MBA) (2 Credits, Elective) (M2143) [Full English Course]
  (1021) (資管所碩士班) (選修2學分) [全英語授課] (2013.09-2014.01)
  (週四 Thu, 9,10, 16:10-18:00)(B310)
  
• 資訊管理個案 (Case Study for Information Management) (Fall 2013)
  (MI4B) (3 Credit, Required) (M1824)
  (1021) (資管四B MI4B) (必修3學分)  (2013.09-2014.01)
  (週二 Tue, 2,3,4, 9:10-12:00)(B502) 
  
• 資 訊管理個案 (Case Study for Information Management) (Fall 2013)
  (MI4C) (3 Credit, Required) (M1824)
  (1021) (資管四C MI4C) (必修3學分)  (2013.09-2014.01)
  (週三 Wed, 6,7,8, 13:10-16:00)(B701)
  
• 資 訊數位服務  (Digital Information Services) (Fall 2013)
  (MI3) (2 Credit, Elective) (M1891)
  (1021) (資管三 MI3) (選修2學分)  (2013.09-2014.01)
  (週六 Sat, 4, 5, 11:10-13:00) 
  

• Social Media Apps Programming (Fall 2013)(2013.09-2014.01)
  (MIS MBA) (2 Credits, Elective) (M2143) [Full English Course]
  (Thu, 9,10, 16:10-18:00)(V201)
• Week    Date    Subject/Topics
  1    2013/09/19    Mid-Autumn Festival (Day off)
  2    2013/09/26    Course Orientation and Introduction to Social Media and Mobile Apps Programming  [ppt] [pdf]
  3    2013/10/03    Introduction to Android / iOS Apps Programming  [ppt] [pdf]
  4    2013/10/10    Double Tenth Day (Day off)
  5    2013/10/17    Developing Android Native Apps with Java (Eclipse) (MIT App Inventor)   [ppt] [pdf]
  6    2013/10/24    Developing iPhone / iPad Native Apps with Objective-C (XCode)   [ppt] [pdf]
  7    2013/10/31    Mobile Apps using HTML5/CSS3/JavaScript   [ppt] [pdf]
  8    2013/11/07    jQuery Mobile   [ppt] [pdf]
  9    2013/11/14    Create Hybrid Apps with Phonegap   [ppt] [pdf]
  10    2013/11/21    Midterm Exam Week (Midterm Project Report)
  11    2013/11/28    jQuery Mobile/Phonegap   [ppt] [pdf]
  12    2013/12/05    Invited Talk: Social, Mobile and Business Model in PIXNET [Invited Speaker: Dr. Rick Cheng-Yu Lu]
  13    2013/12/12    Case Study on Social Media Apps Programming and Marketing in Google Play and App Store  [ppt] [pdf]
  14    2013/12/19    Google App Engine and Google Map API   [ppt] [pdf]
  15    2013/12/26    Facebook API (Facebook JavaScript SDK)(Integrate Facebook with iOS/Android Apps)   [ppt] [pdf]
  16    2014/01/02    Twitter API   [ppt] [pdf]
  17    2014/01/09    Final Project Presentation  [ppt] [pdf]
  18    2014/01/16    Final Exam Week (Final Project Report)  [ppt] [pdf]

• 資 訊管 理個案 (Case Study for Information Management) (Fall 2013)
  (MI4B) (3 Credit, Required) (M1824)
  (1021) (資管四B MI4B) (必修3學分)  (2013.09-2014.01)
  (週二 Tue, 2,3,4, 9:10-12:00)(B502) 
• 週次    日期    內容（Subject/Topics）    備註
  1    102/09/17    Introduction to Case Study for Information Management   [ppt] [pdf]   
  2    102/09/24    Information Systems in Global Business: UPS  (Chap. 1)   [ppt] [pdf]   
  3    102/10/01    Global E-Business and Collaboration: NTUC Income  (Chap. 2)   [ppt] [pdf]
  4    102/10/08    Information Systems, Organization, and Strategy: iPad and Apple  (Chap. 3)   [ppt] [pdf]
  5    102/10/15    IT Infrastructure and Emerging Technologies: Salesforce.com  (Chap. 5)   [ppt] [pdf]
  6    102/10/22    Foundations of Business Intelligence: Lego  (Chap. 6)  [ppt] [pdf]
  7    102/10/29    Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft  (Chap. 7)  [ppt] [pdf]
  8    102/11/05    Securing Information System: Facebook  (Chap. 8)  [ppt] [pdf]
  9    102/11/12    Midterm Report (期中報告)   
  10    102/11/19    期中考試週   
  11    102/11/26    Enterprise Application: Border States Industries Inc. (BSE)  (Chap. 9)  [ppt] [pdf]
  12    102/12/03    E-commerce: Amazon vs. Walmart  (Chap. 10)   [ppt] [pdf]
  13    102/12/10    Knowledge Management: Tata Consulting Services  (Chap. 11)  [ppt] [pdf] [Invited Speaker: Evan Li, CEO, Sagacity Tech.]
  14    102/12/17    Enhancing Decision Making: CompStat  (Chap. 12)  [ppt] [pdf] [s]
  15    102/12/24    Building Information Systems: Electronic Medical Records  (Chap. 13)  [ppt] [pdf]
  16    102/12/31    Final Report I (期末報告 I)
  17    103/01/07    Final Report II (期末報告 II)   
  18    103/01/14    期末考試週   
  
  
  
  
• Ref:  1021/Case/Case_Study_IM_C
  

• 資 訊管理個案 (Case Study for Information Management) (Fall 2013)
  (MI4C) (3 Credit, Required) (M1824)
  (1021) (資管四C MI4C) (必修3學分)  (2013.09-2014.01)
  (週三 Wed, 6,7,8, 13:10-16:00)(B701)
• 週次    日期    內容（Subject/Topics）    備註
  1    102/09/18    Introduction to Case Study for Information Management   [ppt] [pdf]
  2    102/09/25    Information Systems in Global Business: UPS  (Chap. 1)   [ppt] [pdf]
  3    102/10/02    Global E-Business and Collaboration: NTUC Income  (Chap. 2)   [ppt] [pdf]
  4    102/10/09    Information Systems, Organization, and Strategy: iPad and Apple  (Chap. 3)   [ppt] [pdf]
  5    102/10/16    IT Infrastructure and Emerging Technologies: Salesforce.com  (Chap. 5)   [ppt] [pdf]
  6    102/10/23    Foundations of Business Intelligence: Lego  (Chap. 6)   [ppt] [pdf]
  7    102/10/30    Telecommunications, the Internet, and Wireless Technology: Google, Apple, and Microsoft  (Chap. 7)   [ppt] [pdf]
  8    102/11/06    Securing Information System: Facebook  (Chap. 8)   [ppt] [pdf]
  9    102/11/13    Midterm Report (期中報告)   
  10    102/11/20    期中考試週   
  11    102/11/27    Enterprise Application: Border States Industries Inc. (BSE)  (Chap. 9)  [ppt] [pdf]
  12    102/12/04    E-commerce: Amazon vs. Walmart  (Chap. 10)  [ppt] [pdf]
  13    102/12/11    Knowledge Management: Tata Consulting Services  (Chap. 11)  [ppt] [pdf] [Invited Speaker: Evan Li, CEO, Sagacity Tech.]
  14    102/12/18    Enhancing Decision Making: CompStat  (Chap. 12)  [ppt] [pdf]
  15    102/12/25    Final Report I (期末報告 I)
  16    103/01/01    開國紀念日(放假一天) (New Year’s Day)(Day off)   
  17    103/01/08    Final Report II (期末報告 II)
  18    103/01/15    期末考試週   
  

• 資 訊數位服務  (Digital Information Services) (Fall 2013)
  (MI3) (2 Credit, Elective) (M1891)
  (1021) (資管三 MI3) (選修2學分)  (2013.09-2014.01)
  (週六 Sat, 4, 5, 11:10-13:00) 
• [課程公告：服務團隊活動集合時間地點：102/10/12 週六 早上9:50集合完成，淡江大學體育場旁游泳館門口]
• 週次    日期    內容（Subject/Topics）    備註
  1    102/09/21    資 訊數位服務課程大綱介紹，課程說明，專業理論講述。    準備階段  [ppt] [pdf]
                             (上課時間地點：102/09/18 週三 18:10-20:00, B608)
  2    102/09/28    課程學習，校外服務(前置期) :分組及確立服務工作推展細部計畫與工作分配。服務方案資料蒐整。    準備階段  
                             (上課時間地點：102/09/23 週一 12:10-14:00, B425)(上課時間地點：102/09/25 週三 18:10-20:00, B508)
  3    102/10/05    課程學習，校外服務(前置期) : 建立淡江大學與服務對象間的聯絡管道，進行初步意願確認。服務方案資料蒐整。    準備階段
                             (時間地點：102/10/03 週四 14:10-16:00, B929)
  4    102/10/12    課程學習，校外服務(探索期) :訪談服務對象，了解其系統需求。服務方案資料蒐整，服務方案設計。    準備階段
                             (集合時間地點：102/10/12 週六 早上9:50，淡江大學體育場旁游泳館門口)
  5    102/10/19    課程學習，校外服務(探索期) :訪談服務對象，了解其系統需求。服務方案資料蒐整，服務方案設計。    準備階段
  6    102/10/26    課程學習，討論與反思: 檢討目前進度    反思階段
  7    102/11/02    課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。    服務階段
  8    102/11/09    課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。    服務階段
  9    102/11/16    課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。    服務階段
  10    102/11/23    期中考試週    期中評量(繳交報告)
  11    102/11/30    課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。    服務階段
  12    102/12/07    課程學習，校外服務(建置期)：開發及測試相關系統。服務方案執行與討論。    服務階段
  13    102/12/14    課程學習，校外服務(教育訓練及維護期)：進行教育訓練及系統維護。服務方案執行與討論。    服務階段
  14    102/12/21    課程學習，校外服務(教育訓練及維護期)：進行教育訓練及系統維護。服務方案執行與討論。    服務階段
  15    102/12/28    課程學習，校外服務(教育訓練及維護期)：進行教育訓練及系統維護。服務方案執行與討論。    服務階段
  16    103/01/04    課程學習，服務方案評估，服務歷程反思。    反思階段
  17    103/01/11    課程學習，課程回顧，服務經驗交流與分享。    慶賀階段
  18    103/01/18    期末考試週    期末評量（繳交報告）
  
  
  
• 參 考資料：
  (1) 2012 新 北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [NTPC DV Magazine 2012]
  (2) 2011 新北市數位志工成果展淡江大學資管數位志工服務團隊 [pdf] [pdf] [pdf] [NTPC DV Magazine 2011]
  (3) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫 [pdf]
  (4) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫結案報告 [pdf]
  (5) 2010-2011 淡江資管數位關懷希望團隊 特色商店線上型錄推廣計畫簡報  [pdf]

• 商業智慧趨勢 (Business Intelligence Trends)  (Spring 2013)
  (MIS MBA)(2 Credits, Elective)
  (1012) (資管所碩士班) (選修2學分)  (2013.02-2013.06)
  (週一 Mon, 6,7, 13:10-15:00) (Q407)
• 社會媒體行銷管理 (Social Media Marketing Management)  (Spring 2013)
  (MIS EMBA)(3 Credits, Elective)
  (1012) (資管所碩士在職專班) (選修3學分)  (2013.02-2013.06)
  (週二 Tue, 12,13,14, 19:20-22:10) (D325)
• 資料探勘 (Data Mining)  (Spring 2013)
  (MI4)(2 Credits, Elective)
  (1012) (資管四 MI4) (選修2學分)  (2013.02-2013.06)
  (週四 Thu, 9,10, 16:10-18:00) (B216)
• 資安管理專題 (The Issue of Information Security Management)  (Spring 2013)
  (MI4)(2 Credits, Elective)
  (1012) (資管四 MI4) (選修2學分)  (2013.02-2013.06)
  (週一 Mon, 8,9, 15:10-17:00) (B703)
  
  
  
  
  
  
• 商 業智慧趨勢 (Business Intelligence Trends)  (Spring 2013)
  (MIS MBA)(2 Credits, Elective)
  (1012) (資管所碩士班) (選修2學分)  (2013.02-2013.06)
  (週一 Mon, 6,7, 13:10-15:00) (Q407)
• 週次    日期    內容（Subject/Topics）
  1    102/02/18    商 業智慧趨勢課程介紹 (Course Orientation for Business Intelligence Trends)   [ppt] [pdf]
  2    102/02/25    管 理決策支援系統與商業智慧 (Management Decision Support System and Business Intelligence)   [ppt] [pdf]
  3    102/03/04    企 業績效管理 (Business Performance Management)   [ppt] [pdf]
  4    102/03/11    資 料倉儲 (Data Warehousing)   [ppt] [pdf]
  5    102/03/18    商 業智慧的資料探勘 (Data Mining for Business Intelligence)  [ppt] [pdf]
  6    102/03/25    商 業智慧的資料探勘 (Data Mining for Business Intelligence)
  7    102/04/01    教學行政觀摩日 (Off-campus study)
  8    102/04/08    個案分析一 (SAS EM 分群分析)： Banking Segmentation (Cluster Analysis – KMeans using SAS EM)
  9    102/04/15    個案分析二 (SAS EM 關連分析)： Web Site Usage Associations ( Association Analysis using SAS EM)
  10    102/04/22    期中報告 (Midterm Presentation)
  11    102/04/29    個案分析三 (SAS EM 決策樹、模型評估)：Enrollment Management Case Study (Decision Tree, Model Evaluation using SAS EM)
  12    102/05/06    個案分析四 (SAS EM 迴歸分析、類神經網路)：Credit Risk Case Study (Regression Analysis, Artificial Neural Network using SAS EM)
  13    102/05/13    文 字探勘與網路探勘 (Text and Web Mining)   [ppt] [pdf]
  14    102/05/20    意 見探勘與情感分析 (Opinion Mining and Sentiment Analysis)   [ppt] [pdf]
  15    102/05/27    商 業智慧導入與趨勢 (Business Intelligence Implementation and Trends)   [ppt] [pdf]
  16    102/06/03    商 業智 慧導入與趨勢 (Business Intelligence Implementation and Trends)
  17    102/06/10    期末報告1 (Term Project Presentation 1)
  18    102/06/17    期末報告2 (Term Project Presentation 2)
  
  
  
  
  
  
• 社 會媒體行銷 管理 (Social Media Marketing Management)  (Spring 2013)
  (MIS EMBA)(3 Credits, Elective)
  (1012) (資管所碩士在職專班) (選修3學分)  (2013.02-2013.06)
  (週二 Tue, 12,13,14, 19:20-22:10) (D325)
• 週次    日期    內容（Subject/Topics）
  1    102/02/19    社 會媒體行銷管理課程介紹 (Course Orientation of Social Media Marketing Management)   [ppt] [pdf]
  2    102/02/26    社 群網路 (Social Media: Facebook, Youtube, Blog, Microblog)   [ppt] [pdf]
  3    102/03/05    社 群網路行銷 (Social Media Marketing)   [ppt] [pdf]
  4    102/03/12    行 銷管理 (Marketing Management)   [ppt] [pdf]
  5    102/03/19    社 群網路服務與資訊系統理論 (Theories of Social Media Services and Information Systems)   [ppt] [pdf]
  6    102/03/26    行 銷理論 (Marketing Theories)   [ppt] [pdf]
  7    102/04/02    教學行政觀摩日 (Off-campus study)
  8    102/04/09    行銷管理論文研討 (Paper Reading on Marketing Management) [2013.04.09 (T1 Report); (T2 Report); (T3 Report)]
  9    102/04/16    社 群網路行為研究 (Behavior Research on Social Media)  [ppt] [pdf]
  10    102/04/23    期中報告 (Midterm Presentation)
  11    102/04/30    社 群網路商業模式 (Business Models and Issues of Social Media) [Invited Speaker: Dr. Rick Cheng-Yu Lu]  [ppt] [pdf]
  12    102/05/07    社 群網路策略 (Strategy of Social Media)  [ppt] [pdf]
  13    102/05/14    社 群口碑與社群網路探勘 (Social Word-of-Mouth and Web Mining on Social Media)   [ppt] [pdf]
  14    102/05/21    社群網路論文研討 (Paper Reading on Social Media)
  15    102/05/28    探 索性因素分析 (Exploratory Factor Analysis)   [ppt] [pdf]
  16    102/06/04 (> 6/01) 確 認性因素分析 (Confirmatory Factor Analysis)   [ppt] [pdf]
  17    102/06/11 (> 6/04) 期末報告1 (Term Project Presentation 1)
  18    102/06/18 (> 6/11) 期末報告2 (Term Project Presentation 2)
  
  
  
  
  
• 資 料探勘 (Data Mining)  (Spring 2013)
  (MI4)(2 Credits, Elective)
  (1012) (資管四 MI4) (選修2學分)  (2013.02-2013.06)
  (週四 Thu, 9,10, 16:10-18:00) (B216)
• References:  
  1. SASMining2012 IMTKU Project Presentation 20120921 [ppt] [pdf]
  2. SASMining2012 IMTKU Project_Report 20120921 [pdf]
  3. SAS Enterprise Miner SAS EM 4Steps Step by Step v20120413 [doc] [pdf]
  4. SASMining2012 Final List [pdf]
• 週次    日期    內容（Subject/Topics）
  1    102/02/21    資 料探勘導論 (Introduction to Data Mining)   [ppt] [pdf]
  2    102/02/28    和平紀念日 (放假一天) (Peace Memorial Day) (No Classes)
  3    102/03/07    關 連分析 (Association Analysis)   [ppt] [pdf]
  4    102/03/14    分 類與預測 (Classification and Prediction)   [ppt] [pdf]
  5    102/03/21    分 群分析 (Cluster Analysis)   [ppt] [pdf]
  6    102/03/28    個案分析與實作一 (SAS EM 分群分析)： Banking Segmentation (Cluster Analysis – K-Means using SAS EM)
  7    102/04/04    清明節、兒童節(放假一天) (Children's Day, Tomb Sweeping Day)(No Classes)
  8    102/04/11    個案分析與實作二 (SAS EM 關連分析)： Web Site Usage Associations ( Association Analysis using SAS EM)
  9    102/04/18    個案分析與實作三 (SAS EM 決策樹、模型評估)：Enrollment Management Case Study (Decision Tree, Model Evaluation using SAS EM)
  10    102/04/25    期中考試週
  11    102/05/02    個案分析與實作四 (SAS EM 迴歸分析、類神經網路)：Credit Risk Case Study (Regression Analysis, Artificial Neural Network using SAS EM)
  12    102/05/09    SAS企業資料採礦實務 (Data Mining Using SAS Enterprise Miner)
  13    102/05/16    SAS企業資料採礦實務 (Data Mining Using SAS Enterprise Miner)
  14    102/05/23    期末專題報告 (Term Project Presentation)
  15    102/05/30    畢業考試週
  
  
  
  
  
  
  
  
• 資 安管理專題  (The Issue of Information Security Management)  (Spring 2013)
  (MI4)(2 Credits, Elective)
  (1012) (資管四 MI4) (選修2學分)  (2013.02-2013.06)
  (週一 Mon, 8,9, 15:10-17:00) (B703)
• 週次    日期    內容（Subject/Topics）
  1    102/02/18    資 安管理專題課程介紹 (Course Orientation for Information Security Management)   [ppt] [pdf]
  2    102/02/25    ISO 27001 資訊安全管理系統介紹 (Introduction to ISO 27001 Information Security Management System; ISMS)  [Secured PPT] [Secured PDF] (Hint: 8 Digit)
  3    102/03/04    資訊安全風險 (Information Security Risk); 風險評鑑 ( Risk Assessment)  [Secured PPT] [Secured PDF] (Hint: 10 Digit)
  4    102/03/11    資訊安全政策 (Information Security Policy)  [Secured PPT] [Secured PDF] (Hint: 13 Letters+Digit)
  5    102/03/18    資訊安全管理組織 (Organization of Information Security); 資產管理 (Assets Management)  [Secured PPT] [Secured PDF] (Hint: 4 Digit)
  6    102/03/25    人力資源管理 (Human Resources Management);
                            實體與環境安全管理 (Physical and Environmental Security);
                            通信與作業管理 (Communications and Operations Management)   [Secured PPT] [Secured PDF] (Hint: 13 Leters+Symbol+Digit) (ref)
  7    102/04/01    教學行政觀摩日 (Off-campus study)
  8    102/04/08    存取控制 (Access Control);
                            資訊系統的取得、開發及維護 (Information Systems Acquisition, Development and Maintenance)   [Secured PPT] [Secured PDF] (Hint: 13 Leters+Symbol+Digit)
  9    102/04/15    期中報告 (Midterm Presentation) 
  10    102/04/22    期中考試週   [Download Midterm Review PPT] [Download Midterm Review PDF] (Hint: 13 Leters+Symbol+Digit)
  11    102/04/29    資安事故管理 (Information Security Incident Management); 營運持續管理 (Business Continuity Management); 法令、政策、標準、及技術的符合性 (Compliance)  [Secured PPT] [Secured PDF]
  12    102/05/06    內部稽核 (Internal Audit); 管理審查 (Management Review); 持續改進 (Continuous Improvement)  [Secured PPT] [Secured PDF]
  13    102/05/13    資安管理專題演講 (Invited Talk on Information Security Management)(Invited Speaker)
  14    102/05/20    期末報告 (Final Presentation)
  15    102/05/27    畢業考試週