Artificial Intelligence Syllabus — Government College of Engineering…
Full syllabus, topics and curated resources for Artificial Intelligence (Government College of Engineering and Technology, Jammu).
AI fundamentals, search techniques, knowledge representation, reasoning and expert systems
- Subject code: CST-3703
- University: Government College of Engineering and Technology, Jammu
- Course: BE (2022 onwards)
- Branch: CE
- Semester: 7
Artificial Intelligence syllabus
Unit 1: Introduction to AI
- History of AI
- The AI Problems
- AI Techniques
- AI Applications
- AI Tasks and Goals
- Advantages and Disadvantages of AI
- Types of AI
- Types of Agents
- Turing Test in AI
- Production System
- Problem Characteristics
- Production System Characteristics
Unit 2: Problem Solving Techniques
- State Space Search and Control Strategies
- Breadth First Search
- Depth First Search
- Iterative Deepening Depth First Search
- Generate and Test
- Hill Climbing
- Best First Search
- A* Search
- AO* Search
- Constraint Satisfaction Problem
- Min-Max Search
- Alpha-Beta Pruning
Unit 3: Knowledge Representation Issues
- Representation and Mappings
- Approaches to Knowledge Representation
- Issues of Knowledge Representation
- The Frame Problem
- Semantic Networks
- Procedural vs Declarative Knowledge
Unit 4: Non-Monotonic and Statistical Reasoning
- Reasoning in AI and Types of Reasoning
- Introduction to Non-Monotonic Reasoning
- Logics for Non-Monotonic Reasoning
- Probability and Bayes Theorem
- Certainty Factors and Rule-Based Systems
- Bayesian Networks
- Dempster-Shafer Theory
- Fuzzy Sets and Fuzzy Logic
- Defuzzification
Unit 5: Using Predicate Logic
- Representing Simple Facts in Logic
- Propositional Logic
- First Order Logic - Syntax and Semantics
- Clausal Form Conversion
- Unification
- Resolution