PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
BUSI 323	DECISION ANALYSIS	3 + 0	7th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	To equip students with the knowledge and skills to make informed and effective decisions in a complex and uncertain business environment.
Course Content	This course equips students with the analytical tools and frameworks to make informed and effective decisions under uncertainty in various business settings.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Understands the basics of decision analysis.
2	Uses probability and statistical methods in problems.
3	Constructs and solves Decision Trees.
4	Uses Multi-Criteria Decision Making (MCDM) techniques.
5	Applies decision analysis tools to real-world business problems.

COURSE'S CONTRIBUTION TO PROGRAM

Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	13	3	39
Assignments	1	10	10
Mid-terms	1	13	13
Final examination	1	26	26
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

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Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
BUSI 323	DECISION ANALYSIS	3 + 0	1	English	2020-2021 Summer

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. HÜSEYİN KOÇAK	hkocak@pau.edu.tr		İİBF C0105	%70

Goals		To equip students with the knowledge and skills to make informed and effective decisions in a complex and uncertain business environment.
Content		This course equips students with the analytical tools and frameworks to make informed and effective decisions under uncertainty in various business settings.

Topics

Weeks	Topics
1	Introduction
2	Decision making and the steps of the decision-making process
3	The types of decision-making environments
4	Decision Making under Uncertainty
5	Decision Making under Risk
6	Minimization Problem
7	Decision Trees
8	Midterm Exam
9	Using Software in Decision Analysis (QM)
10	Bayesian Analysis
11	Bayesian Analysis (cont.)
12	Utility Theory
13	Utility Theory (cont.)
14	The Practical Application of Decision Analysis

Materials

Materials are not specified.

Resources

Resources	Resources Language
Barry Render, Ralph M. Stair and Michael E. Hanna, Quantitative Analysis for Management, 12/E, Pearson Higher Education, 2015.	English
Hamdy A. Taha, Operations Research: An Introduction, Eight Edition, Pearson Education, 2007.	English
Frederick S. Hillier and Gerald J. Lieberman, Introduction to Operations Research, Ninth Edition, McGraw-Hill, 2010.	English
Bernard W. Taylor III, Introduction to Management Science, 11th Edition, Pearson, 2013.	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student