Artificial Intelligence in Manufacturing
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Follow on Instagram for UpdatesArtificial Intelligence in Manufacturing Syllabus — Unit-wise Content
The official GTU curriculum for Artificial Intelligence in Manufacturing (subject code 2742802) as prescribed for M(E · Semester 4 divides the course into 8 units, covering 15 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 (2742802)Unit 1 Introduction
- AI is an exciting and rewarding discipline
- Students can use AI to solve complex problems in CAD/CAM and Engineering
Unit 2 ITS ROOTS AND SCOPE
- overview of AI application areas
- AI as Representation and search: the predicate calculus
Unit 3 STRUCTURES AND STRATEGIES FOR STATE SPACE SEARCH
- Graph theory
- Strategies for state space search using the state space to represent
- Reasoning with the Predicate Calculus
Unit 4 HEURISTIC SEARCH
- using heuristic in Games and complexity issues
Unit 5 CONTROL AND IMPLEMENTATION OF STATE SPACE SEARCH
- Recursion based Search
- Pattern-Directed search and production systems
Unit 6 MACHINE LEARNING
- Symbol based
- social and emigrant
Unit 7 ADVANCED TOPICS
- AI Problem Solving: Automated reasoning and Understanding natural language
Unit 8 RECENT DEVELOPMENT
- Knowledge based systems
- Expert Systems and AI in manufacturing as case studies published in research papers
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