This course will introduce students to the field of business intelligence, e-commerce, and business analytics. Class meetings are mostly lectures with occasional discussions. Students should prepare for discussions and presentations.

This course is to help students develop skills to utilize information technologies to make business more intelligent. Students will learn business intelligence, e-commerce, and business analytics.

This schedule is subject to change depending on students’ learning progress.

Week 1: Introduction to Business Intelligence (Ch. 1-2 of Book 1)
Week 2: Technologies Enabling Business Intelligence (Ch. 3-6 of Book 1)
Week 3: Management and Future of Business Intelligence (Ch. 7-10 of Book 1)
Week 4: Presentation #1
Week 5: Introduction to E-commerce (Ch. 1 of Book 2)
Week 6: E-commerce Infrastructure (Ch. 2 of Book 2)
Week 7: Building E-commerce Web Sites (Ch. 3 of Book 2)
Week 8: E-commerce Security and Payment (Ch. 4 of Book 2)
Week 9: Presentation #2
Week 10: Business Models for E-commerce (Ch. 5 of Book 2)
Week 11: E-commerce Marketing & Advertising (Ch. 6-7 of Book 2)
Week 12: Online Media, Social Networks and Communities (Ch. 9-10 of Book 2)
Week 13: Presentation #3
Week 14: Introduction to Business Analytics (Ch. 1 of Book 3)
Week 15: Decision Making under Uncertainty (Ch. 6 of Book 3)
Week 16: Optimization Models (Ch. 14 of Book 3)
Week 17: Data Mining (Ch. 17 of Book 3)
Week 18: Presentation #4

There is a 3-hour class every week. Every student is expected to spend 6-12 hours on the course.

Activities:
Week 1: Preview Ch. 1-2 of Book 1
Week 2: Review Ch. 1-2 of Book 1 and preview Ch. 3-6 of Book 1
Week 3: Review Ch. 3-6 of Book 1, preview Ch. 7-10 of Book 1, and prepare for the first presentation
Week 4: Give the first presentation
Week 5: Preview Ch. 1 of Book 2
Week 6: Review Ch. 1 of Book 2 and preview Ch. 2 of Book 2
Week 7: Review Ch. 2 of Book 2 and preview Ch. 3 of Book 2
Week 8: Review Ch. 3 of Book 2, preview Ch. 4 of Book 2, and prepare for the second presentation
Week 9: Give the second presentation
Week 10: Preview Ch. 5 of Book 2
Week 11: Review Ch. 5 of Book 2 and preview Ch. 6-7 of Book 2
Week 12: Review Ch. 6-7 of Book 2, preview Ch. 9-10 of Book 2, and prepare for the third presentation
Week 13: Give the third presentation
Week 14: Preview Ch. 1 of Book 3
Week 15: Review Ch. 1 of Book 3 and preview Ch. 6 of Book 3
Week 16: Review Ch. 6 of Book 3 and preview Ch. 14 of Book 3
Week 17: Review Ch. 14 of Book 3, preview Ch. 17 of Book 3, and prepare for the fourth presentation
Week 18: Give the fourth presentation

Four Presentations: 100%
The themes of the presentations will be dependent on students’ learning progress.
The grading criteria will be dependent on students’ performance.

Office hours: By appointment
Office location: 200409

N/A

1. Business Intelligence: Practices, Technologies, and Management. Rajiv Sabherwal, Irma Becerra-Fernandez. ISBN: 9780470461709. Wiley. https://www.tsanghai.com.tw/book_detail.php?c=547&no=3145
2. E-Commerce 2011: Business, Technology, Society, 7th Ed. Kenneth C. Laudon, Carol Guercio Traver. ISBN: 9780273750840. Pearson Education. http://www.tunghua.com.tw/portal_b9_page.php?button_num=b9&cnt_id=691
3. Business Analytics: Data Analysis and Decision Making, 6th Ed. S. Christian Albright, Wayne L. Winston. ISBN: 9781305947542. Cengage Learning. http://www.tunghua.com.tw/portal_b9_page.php?button_num=b9&cnt_id=6746