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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| COMPUTER ENGINEERING (MASTER) (WITHOUT THESIS) | |
| Code | CENGT004 |
| Name | Artificial Intelligence |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The design of computers by modeling the learning mechanism of the human brain is gaining importance day by day. The content of the course generally includes intelligent search, intelligent game playing approaches, intuitive problem solving approaches, artificial networks. The main purpose of the course is to provide the necessary infrastructure to solve new artificial intelligence problems that may be encountered in life.
Course Content
Introduction to artificial intelligence, heuristic problem solving approach, artificial intelligence in games, learning methods, artificial neural networks, convolutional neural networks, iterative neural networks, deep belief networks, natural language processing, expert systems, artificial intelligence optimization algorithms.
Course Precondition
none
Resources
T. Mitchell, "Machine Learning", McGraw-Hill, 1997. C. M. Bishop, "Pattern Recognition and Machine Learning", Springer, 2007. S. Haykin, "Neural Networks and Learning Machines", Prentice Hall, 2008. R. O. Duda, Pattern Classification, Wiley-Interscience, 2000.
Notes
papers
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understanding the basics of artificial intelligence |
| LO02 | To learn the basics of developing programs and machines similar to human and animal thinking systems, |
| LO03 | Learning and using the methods and algorithms used in artificial intelligence, |
| LO04 | Acquiring the skills to produce solutions with artificial intelligence methods suitable for the problems encountered |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Belirsiz |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to artificial intelligence | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Intuitive problem solving approach | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Artificial intelligence in games | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Learning methods | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Artificial networks - artificial neural networks | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Artificial networks - convolutional neural networks | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 7 | Artificial networks - recursive neural networks, deep belief networks | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Mid-Term Exam | Reading Lecture Notes and Resources | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Natural language processing | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 10 | Natural language processing | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 11 | Expert systems | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 12 | Artificial intelligence optimization algorithms | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | Artificial intelligence optimization algorithms | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 14 | Student applications and article studies | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 15 | Student applications and article studies | Reading Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 16 | Term Exams | Reading Lecture Notes and Resources | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Reading Lecture Notes and Resources | Ölçme Yöntemleri: Yazılı Sınav |