📘 BAD402 – M📘 BAD402 – MODULE WISE TOPICS
🔷 MODULE 1: Introduction to AI & Intelligent Agents
- What is Artificial Intelligence
- Foundations & history of AI
-
Intelligent agents:
- Agents and environment
- Rationality
- Types of environments
- Structure of agents
🔷 MODULE 2: Problem Solving & Uninformed Search
- Problem-solving agents
- Problem formulation
- Searching for solutions
-
Uninformed search techniques:
- Breadth First Search (BFS)
- Depth First Search (DFS)
- Iterative Deepening DFS
🔷 MODULE 3: Informed Search & Logical Agents
-
Heuristic (informed) search:
- Greedy Best First Search
- A* Algorithm
- Heuristic functions
-
Logical agents:
- Knowledge-based agents
- Wumpus world
- Propositional logic
- Reasoning patterns
🔷 MODULE 4: First Order Logic (FOL)
- Syntax & semantics of FOL
- Representation in FOL
-
Inference techniques:
- Unification
- Forward chaining
- Backward chaining
- Resolution
- Difference between propositional & FOL
🔷 MODULE 5: Uncertainty & Expert Systems
- Reasoning under uncertainty
- Probability basics
- Bayes’ Rule
- Full joint distribution
- Independence
-
Expert systems:
- Knowledge representation
- ES shells
- Knowledge acquisition
- Applications of AI under uncertainty
🧠 Easy Memory Trick
👉 “IPLFU”
- I → Introduction
- P → Problem solving
- L → Logic
- F → First Order Logic
- U → Uncertainty
🎯 Exam Focus (VERY IMPORTANT)
🔥 Module 2 → Search algorithms (must study)
🔥 Module 3 → A* + Logic (very frequently asked)
🔥 Module 5 → Bayes theorem + Expert systemsODULE WISE TOPICS
🔷 MODULE 1: Introduction to AI & Intelligent Agents
- What is Artificial Intelligence
- Foundations & history of AI
-
Intelligent agents:
- Agents and environment
- Rationality
- Types of environments
- Structure of agents
🔷 MODULE 2: Problem Solving & Uninformed Search
- Problem-solving agents
- Problem formulation
- Searching for solutions
-
Uninformed search techniques:
- Breadth First Search (BFS)
- Depth First Search (DFS)
- Iterative Deepening DFS
🔷 MODULE 3: Informed Search & Logical Agents
-
Heuristic (informed) search:
- Greedy Best First Search
- A* Algorithm
- Heuristic functions
-
Logical agents:
- Knowledge-based agents
- Wumpus world
- Propositional logic
- Reasoning patterns
🔷 MODULE 4: First Order Logic (FOL)
- Syntax & semantics of FOL
- Representation in FOL
-
Inference techniques:
- Unification
- Forward chaining
- Backward chaining
- Resolution
- Difference between propositional & FOL
🔷 MODULE 5: Uncertainty & Expert Systems
- Reasoning under uncertainty
- Probability basics
- Bayes’ Rule
- Full joint distribution
- Independence
-
Expert systems:
- Knowledge representation
- ES shells
- Knowledge acquisition
- Applications of AI under uncertainty
🧠 Easy Memory Trick
👉 “IPLFU”
- I → Introduction
- P → Problem solving
- L → Logic
- F → First Order Logic
- U → Uncertainty
🎯 Exam Focus (VERY IMPORTANT)
🔥 Module 2 → Search algorithms (must study)
🔥 Module 3 → A* + Logic (very frequently asked)
🔥 Module 5 → Bayes theorem + Expert systems