Business Intelligence – Sample Course Syllabus

Title Business Intelligence
Description To successfully compete in today’s global business environment an organization must constantly monitor, recognize and understand every aspect and every issue of its operations, its industry and the overall business environment. This course focuses on business intelligence – an information technology approach to data collection and data analysis to support a wide variety of management tasks, from performance evaluation to trend spotting and policy making. Students learn analytical components and technologies used to create dashboards and scorecards, data/text/Web mining methods for trend and sentiment analysis, and artificial intelligence techniques used to develop intelligent systems for decision support. Students will actively participate in this course through class discussions, project preparation and presentation, and visual tool utilization.
Prerequisites CIS 2200 or equivalent
Learning Goals Upon successful completion of this course, students will be able to:

  • Articulate modern concepts, theories, and research in the field of Business Intelligence (BI).
  • Apply BI enabling technologies in organizational settings.
  • Articulate modern BI practices, including knowledge integration, sourcing and managing BI solutions.
  • Discuss the social and ethical issues related to the use of Business Intelligence technologies in organizations.
  • Articulate the crucial role that Business Intelligence plays in careers as well as in business and society in the 21st century.
Grades
Textbooks Business Intelligence and Analytics. Systems for Decision Support, 10th Edition. R. Sharda, D. Delen, & E. Turban; Pearson/Prentice Hall, © 2015. ISBN-13: 978-0-13-305090-5, ISBN-10: 0-13-305090-4; OPTIONS: Hardcover, Softcover, eTextbook, Rental.
Topics
WEEK# CONTENT ASSIGNMENTS DUE
Week 0   Aug 27. Warm-up exercise (Appendix A)
Aug. 28 1. Syllabus: Expectations, goals, schedules (bring a copy of this Syllabus to class).

2. Project discussions (Appendix B). Team formation.

3. Read and prepare to discuss Parkway Corporation & Harrah’s business cases

(Both cases are available on Blackboard)

Aug 28. Individual Projects Topics

(Appendix C)

 

Sep. 2 Chapter 1 discussion: Overview of BI and analytics (Appendix D) Read Chapter 1 (Starts Sep.2)
Week 2 Chapter 2 discussion: Foundation and Technologies for decision Making

Introduction to Tableau

Read Chapter 2

 

Week 3 Chapter 3 discussion: Descriptive Analytics – Data warehousing Read Chapter 3

Tableau Tutorial #1 (Appendix G)

Week 4 Chapter5 discussion: Predictive Analytics – Data Mining Read Chapter 5

Individual project

Week 5 Chapter 7 discussion: Predictive Analytics – Text Analytics and Text Mining Read Chapter 7

 

Week 6 Chapter 8 discussion: Predictive Analytics – Web Analytics and Web Mining Read Chapter 8

Newsworthy#1. Oct. 9 (Appendix E)

Week 7 MID-TERM EXAM #1 OCTOBER 7 Tableau Tutorial #2 (Appendix G)
Week 8 Chapter 9 discussion: Model Based Decision Making Read Chapter 9

 

Week 9 Chapter 11 discussion: Modeling and Analysis Read Chapter 11

Newsworthy#2. Oct. 30 (Appendix E)

Week 10 Chapter 12 discussion: Knowledge Management and Collaborative Systems Read Chapter 12

 

Week 11 MID-TERM EXAM #2  NOVEMBER 13

Chapter 13 discussion: Big Data and Analytics

Read Chapter 13

Group project

Week 12 Chapter 14 Discussion: Business Analytics: Emerging Trends and Future Impacts Read Chapter 14

Tableau Tutorial #3 (Appendix G)

Week 13 Project Presentations Newsworthy#3. Dec. 4 (Appendix E)
Week 14 Project Presentations