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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BUSI 323DECISION ANALYSIS3 + 07th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To develop an understanding of Advanced Decision Making Techniques to solve the decisionmaking problems that confronts and confounds managers in both the public and the private sector by developing mathematical models of those problems.
Course Content Advanced Topics in linear programming, nonlinear programming, game theory, goal programming, deterministic dynamic programming, probabilistic dynamic programming, simulation.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1to analyze the complex administrative problems and apply the systems approach
2To have a solid understanding of basic Management Science concepts
3To develop mathematical models for a variety of management problems that they come across in public and private industry
4To solve complex mathematical models by means of computer softwares
5To interpret the solutions of the models for daily practical use of business managers

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)13452
Hours for off-the-classroom study (Pre-study, practice)13452
Mid-terms11313
Final examination11313
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2021-2022 Fall1NİLSEN KUNDAKCI


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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 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 develop an understanding of Advanced Decision Making Techniques to solve the decisionmaking problems that confronts and confounds managers in both the public and the private sector by developing mathematical models of those problems.
Content Advanced Topics in linear programming, nonlinear programming, game theory, goal programming, deterministic dynamic programming, probabilistic dynamic programming, simulation.
Topics
WeeksTopics
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
ResourcesResources Language
Çok Kriterli Karar Verme Yöntemleri, Editörler: Bahadır Fatih Yıldırım, Emrah Önder, Dora Yayıncılık. Türkçe
Çok Kriterli Karar Verme, Doç. Dr. Ejder Ayçin, Nobel YayınTürkçe
Karar Verme, Prof. Dr. Mustafa Aytaç, Prof. Dr. Necmi Gürsakal, Dora YayıncılıkTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes