Design of Intelligent Systems
Software Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Design of Intelligent Systems | YZM517 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Assistant Prof. Dr. Levent BAYINDIR
Assistant Prof. Dr. Kaplan KAPLAN
Learning Outcomes of the Course Unit
1) Can identify intelligent systems
2) Can design multi-layer Neural Networks
3) Can apply fuzzy logic and Neural-Fuzzy Systems
4) Compares optimization methods based on derivatives and optimization methods inspired by nature.
5) Can offer solutions for different problems with smart methods
6) Can analyze applications in the literature
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | ||
| Learning Outcomes | ||||||||||||||||||
| 1 | No relation | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | |
| 2 | High | High | High | High | Low | No relation | Middle | Middle | High | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | |
| 3 | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | No relation | No relation | No relation | High | High | High | High | No relation | No relation | No relation | High | High | High | High | No relation | High | No relation | |
| 5 | No relation | No relation | High | High | High | High | No relation | No relation | High | High | No relation | No relation | High | No relation | High | No relation | No relation | |
| 6 | High | High | High | No relation | No relation | High | No relation | High | High | No relation | No relation | High | High | No relation | No relation | High | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Introducing intelligent systems and nature-inspired algorithms. Short review on optimization, modeling and control. Introduction to artificial neural networks, back propagation learning algorithm, fuzzy set theory, fuzzy inference method, fuzzy control, adaptive neural-fuzzy inference rule, genetic algorithm, particle swarm optimization.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Lecture
3) Lecture
4) Lecture
5) Question-Answer
6) Question-Answer
7) Question-Answer
8) Question-Answer
9) Discussion
10) Discussion
11) Discussion
12) Discussion
Assessment Methods and Criteria
Contribution of Project to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required