ECTS - Quantitative Decision Making Techniques

Quantitative Decision Making Techniques (ISL323) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Quantitative Decision Making Techniques ISL323 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language Turkish
Course Type N/A
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. Mustafa Kerem Yüksel
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 Theory bahadır fatih yıldırım, emrah önder, ch. 1, mehpare timor, ch.1
2 Multicriteria Decision Making bahadır y., ch.2 timor, ch.9
3 Intoduction to required programming language Notes by the lecturer
4 Practice with software Notes by the lecturer
5 Analytic hierarchy process Bahadır Y., ch.3, Timor, ch.9
6 Distance to ideal point methods TOPSIS, Compromise Programming Bahadır Y., ch.6
7 Sofware Applications
8 Midterm Exam
9 analytic network process Bahadır Y., ch.4
10 VIKOR Bahadır Y., ch.5
11 Software Applications
12 Data Envolopment Analysis Aydın Ulucan, ch.7
13 Data Envolopment Analysis aydın ulucan, ch.7
14 General Practice
15 presentations
16 Final exam

Sources

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

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
Major Area Courses X
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 Having the conceptual and applied knowledge about the basic functions of the business and gaining the ability to use the knowledge
2 To be able to diagnose the problems related to the field of business, to use scientific approaches effectively in the solution of problems and decision-making processes. X
3 To be able to reveal and analyze the environmental, social, global effects and legal consequences of the applications related to the basic functions of the business.
4 To be able to analyze information and reports that concern businesses at the national, regional and global level, to set strategic goals according to the results obtained
5 Gain the ability to use, report and interpret Business Information Systems and sub-modules required by business management X
6 Planning necessary activities such as starting a new business with innovative and creative thinking and taking risks for the sustainability of the business, finding resources, making market analysis, preparing a business plan, and using the learned information in this direction.
7 Being aware of the fact that the research and learning process continues throughout life, to be able to follow the scientific and technological developments related to the business, to support oneself and the organization in innovation and continuous development.
8 To have the necessary leadership and managerial skills to achieve business objectives effectively and efficiently.
9 To be able to conduct scientific research in the field of business and report the results of the research to be used in managerial decision-making processes.
10 To be able to transfer information about the field of business using effective verbal, written and visual communication methods in the language of learning and professional English
11 To be aware of professional ethics, environmental awareness, sustainability, social responsibility, cultural, social and universal values
12 Working effectively with different disciplines or multicultural teams, taking responsibility, making risk analysis, adapting to change, critical thinking and using initiative in problem solving
13 .

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 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments 1 10 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 25 25
Prepration of Final Exams/Final Jury 1 25 25
Total Workload 136