PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ISY 505	INTRODUCTION TO DECISION ANALYSIS	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	Decision environments;Specific, Vague, Risk ...within the framework of the benchmarks is to produce a solution to problems
Course Content	Decision analysis, Theoretic or analytic approaches in decision analysis, Decision environments (decision making under certainty, decision making under uncertainty, decision making under risk), Multi-Criteria Decision Making, AHP, TOPSIS, ELECTRE, PROMETHEE methods
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Decision analysis with the basic concepts, assumptions and intent
2	Decision analysis on the impact of the efficiency of the business with the help of proudly announce
3	Control of complex systems under uncertainty, well defined, ranging from simple solutions
4	Decision analysis techniques to optimize the costs of the operator by using .
5	Risk decision analysis models can be made based on planning processes

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06
LO 001	5	3	4	3	5	5
LO 002	5	4	3	4	3	4
LO 003	3	5	5	4	5	4
LO 004	4	3	5	3	4	5
LO 005	3	5	3	5	3	5
Sub Total	20	20	20	19	20	23
Contribution	4	4	4	4	4	5

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
Assignments	2	15	30
Mid-terms	1	12	12
Final examination	1	25	25
Presentation / Seminar Preparation	2	15	30
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2020-2021 Fall	1	NİLSEN KUNDAKCI

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ISY 505	INTRODUCTION TO DECISION ANALYSIS	3 + 0	1	Turkish	2020-2021 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. NİLSEN KUNDAKCI	nilsenk@pau.edu.tr		İİBF B0008	%

Goals		Decision environments;Specific, Vague, Risk ...within the framework of the benchmarks is to produce a solution to problems
Content		Decision analysis, Theoretic or analytic approaches in decision analysis, Decision environments (decision making under certainty, decision making under uncertainty, decision making under risk), Multi-Criteria Decision Making, AHP, TOPSIS, ELECTRE, PROMETHEE methods

Topics

Weeks	Topics
1	Introduction to Decision Theory, Decision Making Process
2	Decision Trees
3	Multi-Criteria Decision Making Methods (MCDM): Analytic Hierarchy Process (AHP)
4	Analytic Network Process (ANP)
5	TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) Method
6	ELECTRE (Elimination Et Choix Traduisant la Realité) Method
7	VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) Method
8	PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) Method
9	Grey Relational Analysis
10	MOORA (Multi-Objective Optimization By Ratio Analysis) Method
11	MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) Method
12	COPRAS (Complex Proportional Assessment) Method
13	EDAS (Evaluation basedon Distance from Average Solution) Method
14	Application of MCDM methods in businesses

Materials

Materials are not specified.

Resources

Resources	Resources Language
"Çok Kriterli Karar Verme Yöntemleri" Bahadır Fatih Yıldırım, Emrah Önder, Dora Yayıncılık	Türkçe
"Multi-Criteria Decision Making Methods: A Comparative Study" Evangelos Triantaphyllou, Kluwer Academic Publishers	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

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

Prospective Student