PRINCIPLES OF ARTIFICIAL INTELLIGENCE
- Course
- AIEN201 - PRINCIPLES OF ARTIFICIAL INTELLIGENCE
- Department
- Institute of Graduate Studies and Research
- Course Type
- Scientific Preparation
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- Assoc. Prof. Dr. Emre ÖZBİLGE
- Prerequisite
- -
- Keywords
Course Description
This course aims to present the main concepts and techniques used in Artificial Intelligence (AI) and introduce a range of real-world AI applications. The students will acquire knowledge about the history and the foundations of AI, and the basis required for developing autonomous intelligent agents. By the end of the course students are expected to have the fundamental knowledge on principles of artificial intelligence, develop problem solving skills on various artificial intelligence problems and implement related real world applications. In addition to the topics stated above, the AI students are also expected to gain general knowledge about the development of basic autonomous systems.
PRINCIPLES OF ARTIFICIAL INTELLIGENCE
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Course outcomes
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Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | History to AI: What is AI? Foundation of AI? Sate of the art in AI? Risks and Benefits of AI? |
| Week 2 | Intelligent Agent: Agent and Environments, Concept of Rationality, Nature of Environments, Structure of Agents, Nature of Environments, Structure of Agents |
| Week 3 | Problem Formulation & Uninformed Search |
| Week 4 | Informed Search & Heuristics |
| Week 5 | Constraint Satisfaction Problems (CSPs) |
| Week 6 | Adversarial Search (Games) |
| Week 7 | Knowledge Representation: Logic (Part I) |
| Week 8 | Revision |
| Week 9 | Midterm Exam Week |
| Week 10 | Inference in First-Order Logic (Part II) |
| Week 11 | Uncertinity, Probabilistic Reasoning & Naive Bayes |
| Week 12 | Introduction to Robotics |
| Week 13 | Introduction to Computer Vision |
| Week 14 | Ethics & Societal Impact & Revision |
| Week 15 | Final Exam Week |
Reference Books & Course Materials
- 01 Artificial Intelligence: A Modern Approach 4th edition (2022) – S. Russell & P. Norvig
- 02 Artificial Intelligence: A System Approach (2008) – M.T. Jones
Learning Outcomes
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Program Outcomes
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