ENM2004 Management ScienceBahçeşehir UniversityDegree Programs MANAGEMENT ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MANAGEMENT ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ENM2004 Management Science Spring 3 2 4 7

Basic information

Language of instruction: English
Type of course: Must Course
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. FAİK TUNÇ BOZBURA
Course Lecturer(s): Prof. Dr. FAİK TUNÇ BOZBURA
Recommended Optional Program Components: None
Course Objectives: The goal of this course is to introduce students the main concepts linear programming, integer programming, graphical solution of linear programming problems, solution of linear programming problems via simplex method,
duality and sensitivity analysis, solution of integer programs via branch and bound algorithm, by modeling small-sized versions of real-world problems and
solving them with computational techniques.

Learning Outcomes

The students who have succeeded in this course;
I. Formulate mathematical models of business problems using linear programming, integer programming and network theory.
II. Follow problem solution techniques such as graphical solution approach, simplex algorithm and branch and bound algorithm.
III. Show the ability to construct models for transportation, transshipment and assignment problems and solve them using specialized optimization algorithms.
IV. Make decisions from the point of view of optimization.
V. Practice sensitivity analysis of linear programming problems.
VI. Use primal-dual relationships and examine economic interpretation of duality.

Course Content

This course covers the following topics: Modeling with Linear Programming (LP), Graphical LP Solution, Simplex Method, Sensitivity Analysis, Duality and Post-Optimal Analysis, Transportation, Transshipment and Assignment Models, Modeling with Integer Programming (IP).

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Modeling none
2) modeling with linear programming none
3) solving linear programming models I none
4) solving linear programming models II none
5) sensitivity analysis none
6) integer linear programming models I none
7) integer linear programming models II none
8) linear programming transportation models I none
9) linear programming transportation models II none
10) modeling multicriteria problems none
11) goal programming none
12) decision-making models I none
13) decision-making models II none
14) review none

Sources

Course Notes / Textbooks: Introduction to management science - B.W. Taylor III, 11th Edi. - Pearson ISBN: 978-0-273-76640-7
References: None

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 5 % 20
Midterms 2 % 30
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 42
Application 14 28
Study Hours Out of Class 15 60
Homework Assignments 10 30
Midterms 2 8
Final 1 5
Total Workload 173

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Build up a body of knowledge in mathematics, science and engineering subjects; use theoretical and applied information in these areas to model and solve engineering problems. 5
2) identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. 5
3) Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) 5
4) Devise, select, and use modern techniques and tools needed for engineering management practice; employ information technologies effectively.
5) Design and conduct experiments, collect data, analyze and interpret results for investigating engineering management problems.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently.
7) Demonstrate effective communication skills in both oral and written English and Turkish.
8) Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself.
9) Develop an awareness of professional and ethical responsibility.
10) Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Know contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions.
12) Develop effective and efficient managerial skills.