ECTS - Quantitative Decision Making Techniques

Quantitative Decision Making Techniques (MAN323) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Quantitative Decision Making Techniques MAN323 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Question and Answer, Drill and Practice, Observation Case Study, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Elif Boduroğlu
Course Assistants
Course Objectives In this course, students are expected to learn quantitative techniques that enable them to analyze decision-making processes under various conditions. And also it is aimed to apply these methods to management problems and to solve and to make comments with the help of software programs.
Course Learning Outcomes The students who succeeded in this course;
  • To use analytical skills and creativity
  • To be able to model the managerial problems quantitavely
  • ability to use software programs
Course Content Analytical modelling which will help decision making process, statistical analyzing techniques and decision models.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Decision Theroy course book- introduction
2 Multicriteria Decision Making Course book- ch.1
3 Intoduction to required programming language Notes by the lecturer
4 Practice with software Notes by the lecturer
5 Analytic hierarchy process Course book-ch.9
6 Distance to ideal point methods TOPSIS, Compromise Programming Text book- ch.10
7 Software Applications
8 Midterm Exam
9 analytic network process Course book-ch.9
10 VIKOR Course book-ch.15
11 Software Applications
12 Data Envelopment Analysis Course book-ch.17
13 Data Envelopment Analysis Course book-ch.17
14 General Practice
15 Presentations
16 Final exam

Sources

Course Book 1. JOSÉ FIGUEIRA, SALVATORE GRECO, MATTHIAS EHRGOTT, Multiple Criteria Decision Analysis - State of the Art Surveys - Springer, 2005
Other Sources 2. Editörler, Bahadır Fatih Yıldırım, Emrah Önder, Çok kriterli karar verme yöntemleri-Dora basım yayın, Bursa, 2015
3. Mehpare Timor, Yöneylem Araştırması, Türkmen Kitabevi, İstanbul, 2010.
4. Aydın Ulucan, Yöneylem araştırması

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 20
Presentation 1 10
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 6 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquiring the skills of understanding, explaining, and using the fundamental concepts and methods of economics
2 Acquiring the skills of macro level economic analysis
3 Acquiring the skills of micro level economic analysis
4 Understanding the formulation and implementation of economic policies at the local, national, regional, and/or global level
5 Learning different approaches on economic and related issues
6 Acquiring the quantitative and/or qualitative techniques in economic analysis
7 Improving the ability to use the modern software, hardware and/or technological devices
8 Developing intra-disciplinary and inter-disciplinary team work skills X
9 Acquiring an open-minded behavior through encouraging critical analysis, discussions, and/or life-long learning
10 Adopting work ethic and social responsibility
11 Developing the skills of communication.
12 Improving the ability to effectively implement the knowledge and skills in at least one of the following areas: economic policy, public policy, international economic relations, industrial relations, monetary and financial affairs. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration 1 15 15
Project
Report
Homework Assignments 3 10 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 15 15
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 128