AI and Applications
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Follow on Instagram for UpdatesAI and Applications Syllabus — Unit-wise Content
The official GTU curriculum for AI and Applications (subject code ME02004081) as prescribed for EACE · Semester 2 divides the course into 6 units, covering 31 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME02004081)Unit 1 Introduction
- Dimensions of AI, overview and Application of AI
Unit 2 Search
- State Space Search & Heuristic Search Techniques: Defining The Problems As A State Space Search
- Production Systems
- Production Characteristics
- Production System Characteristics and Issues in the Design of Search Programs
- Generate-and Test
- Hill Climbing
- Best- First Search
- Problem Reduction
- Constraint Satisfaction
- Means-Ends Analysis
Unit 3 Knowledge Representation and Reasoning
- Representation and Reasoning using predicate logic
- Inference in first-order logic
- forward and backward chaining
- Probabilistic reasoning
- Bayesian networks
- Probabilistic Reasoning over time: Hidden Markov Models
- Kalman Filters
Unit 4 Game Playing
- Mini Max Search Procedure
- Alpha-Beta Cut-offs
- Iterative deepening 7 14 Subject Code : ME02004081 Subject Name : AI and Applications
Unit 5 Planning
- The Blocks World
- Components Of a Planning System
- Goal Stack Planning
- Nonlinear Planning Using Constraint Posting
- Hierarchical Planning
- Reactive Systems
Unit 6 AI Applications
- speech and vision
- natural-language processing
- semantic web, robotics
- Al-based programming Tools 6 12