Quantitative Analysis (MAN214) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Quantitative Analysis MAN214 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, 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 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 Adequate knowledge in mathematics, science and computing fields; ability to apply theoretical and practical knowledge of these fields in solving engineering problems related to information systems. X
2 Ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3 Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4 Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in information systems engineering applications; ability to use information technologies effectively.
5 Ability to gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the information systems discipline.
6 Ability to work effectively in inter/inner disciplinary teams; ability to work individually.
7 a. Effective oral and written communication skills in Turkish; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. b. Knowledge of at least one foreign language; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8 Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development.
9 a. Ability to behave according to ethical principles, awareness of professional and ethical responsibility. b. Knowledge of the standards utilized in information systems engineering applications.
10 a. Knowledge on business practices such as project management, risk management and change management. b. Awareness about entrepreneurship, and innovation. c. Knowledge on sustainable development.
11 a. Knowledge of the effects of information systems engineering applications on the universal and social dimensions of health, environment, and safety. b. Awareness of the legal consequences of engineering solutions.

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