Artificial Intelligence and Cognitive Systems
Computer Engineering (MSc.)
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 |
|---|---|---|---|---|---|---|
| Artificial Intelligence and Cognitive Systems | BLM508 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Prof. Dr. Yaşar BECERİKLİ
Assistant Prof. Dr. Burcu KIR SAVAŞ
Learning Outcomes of the Course Unit
1) At the end of the lessons, students should understand the following:
Introduction to Artificial Intelligence and cognitive systems
2) Searching
3) Learning
4) Cognitive systems
5) Cognitive computation
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | No relation | No relation | High | No relation | No relation | Middle | High | No relation | No relation | Middle | No relation | |
| 2 | No relation | No relation | High | No relation | No relation | Middle | High | No relation | No relation | Middle | No relation | |
| 3 | No relation | No relation | High | No relation | No relation | Middle | High | No relation | No relation | Middle | No relation | |
| 4 | No relation | No relation | No relation | No relation | No relation | Middle | High | No relation | No relation | Middle | No relation | |
| 5 | No relation | No relation | High | No relation | No relation | Middle | High | No relation | No relation | Middle | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Introduction to Artificial Intelligence. Programlama. Dizi, ağaç, küme, kuyruk ve tablo yapıları.Bilgi gösterimi: Üretim kuralları, içerme hiyeyarşileri, önermesel ve yargısal hesap, çıkarım kuralları, çerçeveler, anlamsal ağlar, kısaltmalar ve dizgesel yaklaşımlar. Arama: Hipotez ve test etme, derinlik öncelikli arama, genişlik öncelikli arama, sezgisel arama, optimal arama, oyun ağaçları ve dönüşüklü arama, minimax arama, alpha-beta indirgeme. Öğrenme: Betimleme ağaçları, yapay sinir ağları, perceptronlar, genetik algoritmalar, uzman sistemler, doğal dil işlem, konuşma tanıma, bilgisayarla görü, Introduction to cognitive systems, Cognitive Artificial Intelligence.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
40% |
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required