| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Master's Degree With Thesis |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | Professor Berna Dengiz
Assistant Professor Tusan Derya
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Gain an ability to design and conduct experiments, as well as to analyze and interpret data
2) Gain an ability to identify, formulate, and solve engineering problems
3) Gain an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | None |
| COURSE DEFINITION | |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Concepts of optimization, local optimum, global optimum | | 2nd Week | NP-hard problems and their complexity | | 3rd Week | Basic heuristic methods: random search, Hill Climbing algorithms | | 4th Week | The application of these algorithms on an example problem | | 5th Week | The General review of modern heuristic algorithms and applications | | 6th Week | Basic principles of evolutionary algorithms and application areas | | 7th Week | The application of evolutionary algorithms on an example problem | | 8th Week | Midterm | | 9th Week | Basic principles of genetic algorithms and application areas | | 10th Week | The application of genetic algorithms on an example problem | | 11th Week | Basic principles of simulated annealing and application areas | | 12th Week | The application of simulated annealing algorithms on an example problem | | 13th Week | Basic principles of Tabu Search algorithms and application areas | | 14th Week | Project presentation |
|
| RECOMENDED OR REQUIRED READING | "Modern Heuristic Techniques for Combinatorial Problems" Colin Reeves, John Wiley,1993 |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Questions/Answers,Problem Solving,Practice,Presentation,Project |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 30 | | Project | 1 | 30 | | Total(%) | | 60 | | Contribution of In-term Studies to Overall Grade(%) | | 60 | | Contribution of Final Examination to Overall Grade(%) | | 40 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 2 | 2 | | Preparation for Quiz | | | | | Individual or group work | 14 | 14 | 196 | | Preparation for Final exam | 1 | 25 | 25 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 25 | 25 | | Laboratory (including preparation) | | | | | Final exam | 1 | 2 | 2 | | Homework | 1 | 14 | 14 | | Total Workload | | | 306 |
|---|
| Total Workload / 30 | | | 10,2 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
