Quantitative Analysis (MAN214) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Quantitative Analysis MAN214 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Mustafa Kerem Yüksel
Course Assistants
Course Objectives Purpose of the course is to introduce quantitative approaches to managerial decision making.
Course Learning Outcomes The students who succeeded in this course;
  • to apply the methods of operations research to business problems, to make the right decision
  • to be able to model business problems and to make managerial decisions by solving them with computer programs
Course Content Quantitative approaches to decision making; prior, posterior, pre posterior analysis; linear programming, transportation, assignment, network analysis, inventory models, queing models, Markov chains.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Managerial decision making and quantitative approaches Winston Ch.1
2 Decision making models Winston Ch.13
3 quiz
4 Linear programming model Winston Ch.3
5 Formulating linear programming models Winston Ch.3
6 Solution of Linear Programming Problems Winston Ch.4,5
7 Sensitivity analysis Winston Ch. 5
8 Duality Winston Ch.6
9 Solution applications by EXCEL SOLVER
10 Mid-term exam
11 Transportation problem Winston Ch. 7
12 Transportation problem Winston Ch. 7
13 Assignment problem Winston Ch. 7
14 Network analysis: CPM Winston Ch. 8
15 Network analysis: PERT Winston Ch. 8
16 final exam

Sources

Other Sources 1. Mehpare Timor, Yöneylem Araştırması, Türkmen Kitabevi, İstanbul, 2010.
2. Ahmet Öztürk, Yöneylem Araştırması, Ekin Kitabevi, Bursa, 2016.
3. Hamdy Taha, Yöneylem Araştırması, Literatür Yayıncılık, İstanbul, 2000.
Course Book 4. Wayne L. Winston, Operations Research, Applications and Algorithms
5. Bernard W. Taylor III, Introduction to Management Science
6. D.R.Anderson, D.J. Sweeney, T.A.Williams, An introduction to Management Science

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 1 10
Homework Assignments 1 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 40
Final Exam/Final Jury 1 40
Toplam 4 100
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.
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
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. X
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 1 14 14
Presentation/Seminar Prepration
Project
Report
Homework Assignments 1 15 15
Quizzes/Studio Critics 1 10 10
Prepration of Midterm Exams/Midterm Jury 1 20 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 127