BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| INFORMATION TECHNOLOGIES (TURKISH, THESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ISM5254 | Applied Optimization Techniques | Fall | 3 | 0 | 3 | 8 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | Turkish |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. İBRAHİM MUTER |
| Course Lecturer(s): |
Assoc. Prof. SEROL BULKAN |
| Recommended Optional Program Components: | None |
| Course Objectives: | The main aim of this course is to give the students an overview of important areas where optimization problems often are considered, and an overview of some important practical techniques for their solution. Another purpose of this course is to provide insights into such problem areas from both an application and theoretical perspective, including the analysis of an optimization model and suitable choices of solution approaches. |
Learning Outcomes
|
The students who have succeeded in this course; - understand the main principles behind the modeling of optimization problems - have a clear overview of the most important classes of optimization problems - understand at least one basic solution algorithm to solve each optimization problem class - understand the logic behind the optimization solvers and use them |
Course Content
| 1. Introduction 2. Linear Programming (LP) Modeling 3. LP Solution Algorithm I 4. LP Solution Algorithm II 5. Solvers 6. Network Models and Applications 7. Network Models and Applications 8. Midterm 9. Integer Programming and Applications 10. Integer Programming and Applications 11. Nonlinear Programming and Applications 12. Software Applications 13. Software Applications 14. Presentations 15. Presentations |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Introduction | |
| 2) | Linear Programming (LP) Modeling | |
| 3) | LP Solution Algorithms | |
| 4) | LP Solution Algorithms | |
| 5) | Solvers | |
| 6) | Network Models and Applications | |
| 7) | Network Models and Applications | |
| 8) | Midterm | |
| 9) | Integer Programming and Applications | |
| 10) | Integer Programming and Applications | |
| 11) | Nonlinear Programming and Applications | |
| 12) | Software Applications | |
| 13) | Software Applications | |
| 14) | Presentations |
Sources
| Course Notes / Textbooks: | Operations Research: An Introduction, Hamdy A. Taha, Prentice Hall, 9th Edition |
| References: | NA |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 2 | % 10 |
| Presentation | 1 | % 10 |
| Project | 1 | % 20 |
| Midterms | 1 | % 20 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 12 | 3 | 36 |
| Study Hours Out of Class | 2 | 32 | 64 |
| Presentations / Seminar | 1 | 15 | 15 |
| Project | 1 | 30 | 30 |
| Homework Assignments | 2 | 20 | 40 |
| Midterms | 1 | 3 | 3 |
| Final | 1 | 3 | 3 |
| Total Workload | 191 | ||
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) | Uses basic Software Engineering knowledge and competencies. | |
| 2) | Applies the software development ability that is necessary for software engineering applications. | |
| 3) | Uses data structures and applies information about algorithm development. | 3 |
| 4) | Develops system programs on operating systems. | |
| 5) | Develops system programs on operating systems. | |
| 6) | Creates the structure of computer networks and network security. | |
| 7) | Uses business intelligence, data mining and data analysis tools, applies techniques about them. | 3 |
| 8) | Develops database applications and WEB based programs. | |
| 9) | Defines, analyzes, designs and manages information technologies projects. | |
| 10) | Uses and develops technology-based environments and tools in education. | |
| 11) | Detects, identifies and solves information technology needs of the business environment. | |
| 12) | Uses the capabilities of information technologies within the rules of professional responsibility and ethics. | 2 |