| ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, NON-THESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| INE5111 | Mathematical Programming and Modelling | Fall | 3 | 0 | 3 | 8 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi TUĞCAN DEMİR |
| Course Lecturer(s): |
Assoc. Prof. SEROL BULKAN Dr. Öğr. Üyesi YÜCEL BATU SALMAN |
| Course Objectives: | This course aims to introduce students modeling of linear and integer programs, network flow problems and nonlinear programs; to use the simplex algorithm for solving liner programming problems, branch&bound for solving integer programming problems and some solution algorithms for network flow problems; to understand important modeling techniques and solution algorithms; to get insights about graph theory and its applications; and to identify the types of problems and their solution algorithms. |
|
The students who have succeeded in this course; I. Formulate large-scale problems as an LP, IP or NLP. II. Identify the type of problems such as linear, integer and nonlinear problems. III. Analyze the algorithms such as simplex and branch and bound. IV. Formulate network flow problems and to solve using specially structured algorithms. |
| This course emphasizes modeling of problems as linear programs, mixed integer linear programs, nonlinear programs and network flow programs. In the second half of the course some basic solution algorithms such as simplex and branch and bound, and some network flow programming algorithms are covered. |
| Week | Subject | Related Preparation | |
| 1) | Linear programming models I | ||
| 2) | Linear programming models II | ||
| 3) | Graphical solution approach and Introduction to Simplex Algorithm | ||
| 4) | Simplex Algorithm | ||
| 5) | Integer programming models I | ||
| 6) | Integer programming models II | ||
| 7) | Branch and Bound Algorithm | ||
| 8) | Midterm 1 | ||
| 9) | Nonlinear programming models | ||
| 10) | Network flow programming models I | ||
| 11) | Network flow programming models II | ||
| 12) | Network flow algorithms I | ||
| 13) | Network flow algorithms II | ||
| 14) | Midterm II | ||
| Course Notes: | N.A. |
| References: | Various reference books will be available at the library. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | % 0 | |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | 4 | % 20 |
| Presentation | % 0 | |
| Project | % 0 | |
| Seminar | % 0 | |
| Midterms | 2 | % 40 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 40 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 12 | 3 | 36 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 3 | 25 | 75 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework Assignments | 4 | 18 | 72 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | ||
| Midterms | 2 | 3 | 6 |
| Paper Submission | 0 | ||
| Jury | 0 | ||
| Final | 1 | 3 | 3 |
| Total Workload | 192 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Have sufficient background and an ability to apply knowledge of mathematics, science, and engineering to identify, formulate, and solve problems of electrical and electronics engineering. | |
| 2) | Be able to define, formulate and solve sophisticated engineering problems by choosing and applying appropriate analysis and modeling techniques and using technical symbols and drawings of electrical and electronics engineering for design, application and communication effectively. | |
| 3) | Have an ability to design or implement an existing design of a system, component, or process to meet desired needs within realistic constraints (realistic constraints may include economic, environmental, social, political, health and safety, manufacturability, and sustainability issues depending on the nature of the specific design). | |
| 4) | Elektrik ve elektronik mühendisliği yapabilmek ve yeni uygulamalara uyum gösterebilmek için gerekli yenilikçi ve güncel teknikler, beceriler, bilgi teknolojileri ve modern mühendislik araçlarını geliştirmek, seçmek, uyarlamak ve kullanmak. | |
| 5) | Be able to design and conduct experiments, as well as to collect, analyze, and interpret relevant data, and use this information to improve designs. | |
| 6) | Be able to function individually as well as to collaborate with others in multidisciplinary teams. | |
| 7) | Be able to communicate effectively in English and Turkish (if he/she is a Turkish citizen). | |
| 8) | Be able to recognize the need for, and to engage in life-long learning as well as a capacity to adapt to changes in the technological environment. | |
| 9) | Have a consciousness of professional and ethical responsibilities as well as workers’ health, environment and work safety. | |
| 10) | Have the knowledge of business practices such as project, risk, management and an awareness of entrepreneurship, innovativeness, and sustainable development. | |
| 11) | Have the broad knowledge necessary to understand the impact of electrical and electronics engineering solutions in a global, economic, environmental, legal, and societal context. |