Business Systems Analysis and Decision Making

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Business Systems Analysis and Decision Making

• ISQS 5340, Summer II, 2006
• Instructor Zhangxi Lin
• Office BA 708 Phone [phone] E-mail
  zhangxi.lin_at_ttu.edu Homepage http//zlin.ba.ttu.
  edu
• Class meetings M-F 1-250p, LH008
• Office hours M-R 3-4p

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About me

• PhD, IS, UT Austin, 1999
• MS, Economics, UT Austin, 1996
• MEng, CS, Tsinghua University, Beijing, 1982
• EE, Tongji University, Shanghai, 1978-1979
• Hometown Fuzhou, China

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My hometown
Fuzhou
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Prerequisite

• ISQS 5137 and MKT 5360

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Course Description

• The use of
• information,
• management information systems,
• decision theory, and
• knowledge management
• to improve business processes and decisions for
  sustainable competitive advantage.

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Learning objectives

1. Explain the process of decision making
2. Identify opportunities for using information
   technology to improve decision making.
3. Identify situations where decision making can
   fall prey to biases, and explain how the biases
   could occur.
4. Identify pitfalls, and make suggestions for
   improvement, in negotiations.
5. Recognize situations that affect the ethics of
   decisions.
6. Understand the use of databases and data
   warehousing techniques.
7. Understand basic approaches of business
   intelligence.
8. Recommend approaches to improve decision making.

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Course structure

• Behavioral decision making topics, 50
• Biases, Preferences, Motivational influences,
  Fairness, Ethicality, Negotiation, Bounded
  rationality
• Normative decision making topics, 25
• Modeling decision making, uncertainty,
  preferences
• Business intelligence and IT topics, 25
• Regression, classification, web mining, database,
  data ware housing.

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Textbooks

• Required Text Book
• Judgment in Managerial Decision Making, 6th Ed,
  by Max Bazerman (2006), John Wiley Sons, Inc.
  ISBN 0-471-68430-9.
• References
• Making Hard Decisions, by R. T. Clemen and T.
  Reilly (2001), Duxbury, ISBN 0-534-42199-7
• Business Intelligence The Savvy Manager's Guide,
  by David Loshin, Morgan Kaufmann (June 2003),
  ISBN 1558609164

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Grading Policy

• 10 quizzes out of 12 (100 points)
• In-class exercises (80 points)
• Homework (40 points)
• Presentation (40 points)
• The total is 260 points.
• Plus Extra points up to 20 for class activity
  involvement

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Make-up Test

• No make-up test for the quizzes

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Contact

• Before or after class in the classroom.
• Drop by during office hours.
• Email me at zhangxi.lin_at_ttu.edu.
• Call 742-1926
• All important announcements will be made via
  e-mail. You are responsible for checking your
  e-mail everyday for any communication from the
  instructor.

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After this class

• Sign up to the class website
• http//zlin.ba.ttu.edu/5340/signup.html
• Project group sign up
• http//129.118.51.86/cgi-bin/zlin/class/group_inpu
  t.pl?class5340oldsum06