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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: Understand the fundamental principles and concepts involved in various activities in business intelligence and decision support Understand the techniques and tools for developing business intelligence and decision support systems 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: 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. Harvard Business Review Grading Policy: Homeworks 20%. Examination (one midterm and one final) 40% Paper presentation 15% Final project report 15% Class participation 10% Course Requirement: 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.