Hey!! As per your demand here I am providing you syllabus of the Elective Course Artificial Intelligence of M.Sc. (Computer Science) of Savitribai Phule Pune University

1. Introduction to Artificial Intelligence
- What is AI?
- Early work in AI
- AI and related fields
- AI problems and Techniques

2. Problems, Problem Spaces and Search
- Defining AI problems as a State Space Search: example
- Production Systems
- Search and Control Strategies
- Problem Characteristics
- Issues in Design of Search Programs
- Additional Problems

3. Heuristic Search Techniques
- Generate-and-test
- Hill Climbing
- Best First Search
- Problem Reduction
- Constraint Satisfaction
- Mean-Ends Analysis

4. Knowledge Representation
- Representations and Mappings
- Approaches to Knowledge Representation
- Knowledge representation method
- Propositional Logic
- Predicate logic
- Representing Simple facts in Logic
- Representing Instances and Isa relationships
- Computable Functions and Predicates
- Resolution
- Forward and backward chaining

5. Slot – and – Filler Structures
- Weak Structures
- Semantic Networks
- Frames
- Strong Structures
- Conceptual Dependencies
- Scripts

6. Game Playing
- Minimax Search Procedures
- Adding alpha-beta cutoffs
- Uncertianty Reasoning: Basic Probabilty Axioms, Baye's
Rule, Baysian Classification, Certainty Factor Theory, Dempster Shafar
Theory.

7. Learning
- What is learning?
- Rote Learning
- Learning by taking advice
- Learning in problem solving
- Learning from examples
- Explanation based learning


Contact Details:
Savitribai Phule Pune University
Ganeshkhind, Pune, Maharashtra 411007
Phone: 020 2569 6064