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

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	4	2	4	5	1	3	5	5	1	4	1
LO 002	3	4	2	3		5	5	5	1	1	5
LO 003	1	2	4	5		5	5	5	2	3	5
LO 004	4	4	4	5		5	5	5	1	1	5
LO 005	5	5	5	5	1	5	5	5	1	1	5
Sub Total	17	17	19	23	2	23	25	25	6	10	21
Contribution	3	3	4	5	0	5	5	5	1	2	4

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)	14	4	56
Mid-terms	1	15	15
Final examination	1	17	17
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
BUSI 323	DECISION ANALYSIS	3 + 0	1	Turkish	2021-2022 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. NİLSEN KUNDAKCI	nilsenk@pau.edu.tr		İİBF B0008	%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	The types of decision-making environments
3	Decision Making under Uncertainty
4	Decision Making under Risk
5	Decision Trees
6	Decision Trees (cont.)
7	Mid-Term Exam
8	Multi-Criteria Decision Making Simple Additive Weighting Method, Weighted Product Method
9	MCDM, Normalization Techniques
10	Analytic Hierarchy Process
11	Analytic Hierarchy Process (cont.)
12	TOPSIS Method
13	COPRAS Method
14	MOORA Method

Materials

Materials are not specified.

Resources

Resources	Resources Language
Çok Kriterli Karar Verme Yöntemleri, Editörler: Bahadır Fatih Yıldırım, Emrah Önder, Dora Yayıncılık.	Türkçe
Çok Kriterli Karar Verme, Doç. Dr. Ejder Ayçin, Nobel Yayın	Türkçe
Karar Verme, Prof. Dr. Mustafa Aytaç, Prof. Dr. Necmi Gürsakal, Dora Yayıncılık	Türkçe

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