Artificial Neural Networks
Software Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Artificial Neural Networks | YZM437 | Elective | Bachelor's degree | 4 | Fall | 5 |
Name of Lecturer(s)
Associate Prof. Dr. Mehmet Zeki KONYAR
Learning Outcomes of the Course Unit
1) Have a basic knowledge about Artificial Neural Networks.
2) Have information about the types of problems that Artificial Neural Networks can be applied.
3) Learns various types of Artificial Neural Networks.
4) To be able to model Artificial Neural Networks and use them in problem solving.
5) Applies and understands modeling.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | Middle | Middle | Low | Low | No relation | No relation | No relation | High | No relation | No relation | High | Low | |
| 2 | Middle | Middle | Low | Low | No relation | No relation | No relation | High | No relation | No relation | High | Low | |
| 3 | Middle | Middle | Low | Low | No relation | No relation | No relation | High | No relation | No relation | High | Low | |
| 4 | Middle | Middle | Low | Low | No relation | No relation | No relation | High | No relation | No relation | High | Low | |
| 5 | Middle | Middle | Low | Low | No relation | No relation | No relation | High | No relation | No relation | High | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Introduction to Artificial Neural Networks, Learning, Classification Problems, Statistical Learning, Multilayer Artificial Neural Networks-Feedback Learning Algorithms, Kohonen Artificial Neural Networks, Hopfield Artificial Neural Networks
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Lecture
3) Question-Answer
4) Question-Answer
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required