PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
OTI 137	QUANTITATIVE DECISION MAKING TECHNIQUES	3 + 0	7th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	Applying advanced mathematical and statistical techniques and models to business problems in different business functions such as accounting, finance, human resoruces, marketing, manufacturing etc. Modelling the problem, finding the solution and interpretation of the solution is emphasized. Spreadsheet prorams and especially Excell will be utilized
Course Content	Network models, Goal programming, Integere programming, dynamic programming, deterministic inventory models, probability, game theory, simulation, and Markov Chains
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

37	The student will be able to decide which technique is suitable for that problem The student will be able to create the model for that problem The student will be able to solve the problem by using spreadsheet

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
LO 037	1	1						2
Sub Total	1	1						2
Contribution	1	1	0	0	0	0	0	2	0	0

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
Assignments	14	4	56
Mid-terms	1	6	6
Final examination	1	6	6
Report / Project	10	2	20
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	1	ENGİN DUTAR

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
OTI 137	QUANTITATIVE DECISION MAKING TECHNIQUES	3 + 0	1	Turkish	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Lecturer ENGİN DUTAR	edutar@pau.edu.tr		UBYO A0020	%70

Goals		Applying advanced mathematical and statistical techniques and models to business problems in different business functions such as accounting, finance, human resoruces, marketing, manufacturing etc. Modelling the problem, finding the solution and interpretation of the solution is emphasized. Spreadsheet prorams and especially Excell will be utilized
Content		Network models, Goal programming, Integere programming, dynamic programming, deterministic inventory models, probability, game theory, simulation, and Markov Chains

Topics

Weeks	Topics
1	Introduction
2	Decision Making
3	Decision Period
4	Decision Environment, Decision making under certainty
5	Decision Environment, Decision making under uncertainty
6	Decision making under risk
7	Decision making by multi criteria
8	Mid term exam
9	Analytical Hierarchy Process
10	Analytical Hierarchy Process
11	TOPSIS
12	TOPSIS
13	Case study
14	Exercises

Materials

Materials are not specified.

Resources

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