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 3171516) as prescribed for Industrial · Semester 7 divides the course into 4 units, covering 26 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 (3171516)Unit 1 Concepts of Artificial Intelligence
- Origin of Artificial Intelligence
- Human and machine Intelligence
- Branches of artificial intelligence
- Programming in AI environment
- Emergence of expert systems
- Applications in Engineering and Manufacturing
- Intelligent Manufacturing Systems – System components
- System Architecture and Data Flow and System Operation
Unit 2 Knowledge Based Systems/Expert Systems
- Expert systems: Expert system process
- characteristics and components of expert systems
- Knowledge Acquisition: Knowledge acquisition phases
- Methods of extracting knowledge from experts
- Knowledge acquisition meetings
- Group knowledge acquisition
- Knowledge Representation: Characteristics of knowledge
- Knowledge representation models
- Concepts of knowledge sets and Reasoning models
- Expert system justification and future directions for expert systems
Unit 3 Machine Learning
- Machine Learning – Concept
- Artificial Neural Networks
- Biological and Artificial Neuron
- Types of Neural Networks
- Applications in manufacturing Use of probability and fuzzy logic for machine thinking
Unit 4 Knowledge Based Group Technology
- Group Technology: Models and Algorithms – Visual method
- Coding method
- Cluster analysis method. 10 Subject Code: 3171516 w.e.f
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