MANAGEMENT ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ENM2004 | Management Science | Spring | 3 | 2 | 4 | 7 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Must Course |
Course Level: | Bachelor |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. FAİK TUNÇ BOZBURA |
Course Lecturer(s): |
Prof. Dr. FAİK TUNÇ BOZBURA |
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. |
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. |
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). |
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 |
Course Notes: | Introduction to management science - B.W. Taylor III, 11th Edi. - Pearson ISBN: 978-0-273-76640-7 |
References: | None |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 0 | % 0 |
Laboratory | 0 | % 0 |
Application | 0 | % 0 |
Field Work | 0 | % 0 |
Special Course Internship (Work Placement) | 0 | % 0 |
Quizzes | 0 | % 0 |
Homework Assignments | 5 | % 20 |
Presentation | 0 | % 0 |
Project | 0 | % 0 |
Seminar | 0 | % 0 |
Midterms | 2 | % 30 |
Preliminary Jury | 0 | % 0 |
Final | 1 | % 50 |
Paper Submission | 0 | % 0 |
Jury | 0 | % 0 |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
Total | % 100 |
Activities | Number of Activities | Workload | |
Course Hours | 14 | 42 | |
Laboratory | |||
Application | 14 | 28 | |
Special Course Internship (Work Placement) | |||
Field Work | |||
Study Hours Out of Class | 15 | 60 | |
Presentations / Seminar | |||
Project | |||
Homework Assignments | 10 | 30 | |
Quizzes | |||
Preliminary Jury | |||
Midterms | 2 | 8 | |
Paper Submission | |||
Jury | |||
Final | 1 | 5 | |
Total Workload | 173 |
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. |