Type of course: | Compulsory |
Language of instruction: | English |
Erasmus Language of instruction: | English |
Name of lecturer: | Maria Viorela Muntean |
Seminar tutor: | Maria Viorela Muntean |
Form of education | Full-time |
Form of instruction: | Class |
Number of teaching hours per semester: | 56 |
Number of teaching hours per week: | 4 |
Semester: | Autumn |
Form of receiving a credit for a course: | Grade |
Number of ECTS credits allocated | 6 |
1. INTRODUCTION 1.1. AI definitions 1.2. Short hystory of AI 1.3. AI components 1.4. AI applications 1.5. Knowledge based information systems. 2. PROBLEM SOLVING 2.1. Solving Problems by Searching 2.2. Uninformed Search Strategies 2.3. Informed (Heuristic) Search Strategies 3. OTHER PROBLEM SOLVING STRATEGIES 3.1. Constraint Satisfaction Problems 3.2. Adversarial Search (games) 4. KNOWLEDGE REPRESENTATION 4.1. Knowledge definitions and classification 4.2. Propositional Logic 4.3. First-Order Logic 5. KNOWLEDGE REPRESENTATION BY RULES 5.1. Types of rules 5.2. Rule based system's structure 5.3. Inference cycle 5.4. Reasoning. Forward chaining. Backward chaining. 6. STRUCTURED KNOWLEDGE 6.1. Semantic networks 6.2. Frames 7. UNCERTAIN KNOWLEDGE AND REASONING (FUZZY) 7.1. Introduction in fuzzy logic and reasoning 7.2. Examples of using fuzzy logic 8. PLANNING AND LEARNING IN AI SYSTEMS 8.1. Planning Approaches 8.2. Learning. Types of learning 9. ARTIFICIAL NEURAL NETWORKS FOUNDATIONS 9.1. Models of neurons an networks 9.2. An ANNs classification 9.3. Feed forward networks. Back propagation method 10. RECCURENT AND SELF ORGANIZING ANNs 10.1. Auto associative memories 10.2. Kohonen self organizing networks 11. MODERN ANNs ARCHITECTURES 12.1. ART network 12.2. Fuzzy ANNs 12.3. Radial basis functions networks 12. ANNs APPLICATIONS 13.1. Applications in images processing and recognition 13.2. Handwritten text recognition 13 EXPERT SYSTEMS FOUNDATIONS 14.1. Expert systems definitions 14.2. Expert systems architecture 14.3. Expert systems applications
Minimum performance standard: minimum 5 at each evaluation criteria