Download Department of Industrial and Information Management

Department of Industrial and Information Management
Institute of Information Management
Business Intelligence and Decision Support Systems
企業智慧與決策支援系統（碩博班）
Spring 2013
Course Description:
Business intelligence has been recognized as a successful enabling technology to support
business managers better business decision making and get valuable insights. BI analyzes
and applies historical and current data of organizations and transforms them to information,
knowledge, decisions and finally actions. This course will provide an understanding of the
theory and applications of the use of leading-edge BI and DSS technologies and processes
used in transforming organizational data to knowledge, decision, and value and in
managing business performance.
Learning Objectives:
By the end of this course the student will be able to:
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Understand the fundamental principles and concepts involved in various activities in
business intelligence and decision support
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Understand the techniques and tools for developing business intelligence and decision
support systems
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Gain practical experience about deployment of business intelligence for decision
support in industry and business
Content Summary:
The essentials of business intelligence and decision making
Data warehousing
Business analytics and data visualization
Data, text, and web mining
Hybrid intelligent technologies
Business Performance Management
Textbook:
Decision Support and Business Intelligence Systems, 9th Ed. By Turban, Sharda, and Delen,
Pearson, 2010, ISBN: 0-13-245323-1.
References:
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Business Intelligence – A Managerial Approach by Turban, Sharda, Delen, and King,
Pearson Prentice-Hall, New Jersey, USA, 2011.
Artificial Intelligence A Guide to Intelligent Systems (3rd Ed.) by M. Negnevitsky,
2011, Pearson.
Research papers.
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Harvard Business Review
Grading Policy:
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Homeworks 20%.
Examination (one midterm and one final) 40%
Paper presentation 15%
Final project report 15%
Class participation 10%
Course Requirement:
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The instructor reserves the right to make changes to this syllabus, e.g. class schedule,
grading policy, etc., if necessary.
No late turned-in homework will be accepted.
All homeworks/reports will be turned in via MCKU Moodle system. If a hard copy is
needed, it must be printed on recycled papers without luxury covering or binding.
Three more times of unexcused absence will result in a failing grade for this course.