BUSN 366 Decision Analysis
Fall 2015
Instructor
e-mail
Room
Ahmet Camcı
ahmet.camci@yasar.edu.tr Y625
Course web site:
http://acamci.yasar.edu.tr/
Password for files at the website: Ask to instructor.
Phone
5620
Office Hours
Thr 14:30-17:30
Course Objectives and Content:
Purposes of this course are to give students basic theoretical and practical knowledge to
develop computer-aided decision making models and apply these models to the main areas
of business such as production, finance, and marketing. A student who successfully finishes
the course is expected to have acquired the competency to develop decision making models
and to apply them to the business environment using computer-aided tools. The topics
which will be covered during the course include decision analysis, decision criteria, decision
trees, Bayes’s rule, analytical hierarchy process and value of information.
Textbook:
 Making Hard Decisions with Decision Tools, 3rd ed. by Robert T. Clemen and Terence
Reilly, Cengage Learning, 2013.
Reference Books:
 Decision Analysis by Howard Raiffa, Addison-Wesley, Massachusetts, 1968.
Evaluation
Criterion
Attendance and Participation
Homework assignments
Midterm
Final
Weight
10
20
30
40
Announcements:
Announcements will be given in the class. Students are also expected to check the course
web site regularly.
Course policies:
 Any evidence of cheating, fabrication, facilitating academic dishonesty or plagiarism will
be reported for appropriate disciplinary action and you will receive a failing grade for the
assignment.
 Attendance is required at all times. Students who will fail to attend 70% of the lectures
will get an NA grade.
 Please refrain from unnecessary conversation during class.
 During class cell phones must be turned off.
 E-mailing or surfing the web using computers during class is prohibited.
 Negotiation is not appropriate.
BUSN 366 Decision Analysis
Fall 2015
Course Outline:
1
Introduction to Decision Analysis
Related
Preparation
Ch1
2
Elements of Decision Problems
Ch2
3
Structuring Decisions
Ch3
4
Structuring Decisions (Cont’d)
Ch3
5
Making Choices
Ch4
6
Making Choices (Cont’d)
Ch4
7
Making Choices (Cont’d)
Ch4
8
Making Choices (Cont’d)
Ch4
9
Midterm Exam
10
Sensitivity Analysis
Ch5
11
Sensitivity Analysis (Cont’d)
Ch5
12
Value of Information
Ch12
13
Value of Information (Cont’d)
Ch12
14
Multi-Objective Decision Models
Lecture Notes
15
Multi-Objective Decision Models (Cont’d)
Lecture Notes
Week
Subject