Artificial Intelligence and machine learning is a broad discipline that promises to simulate numerous innate human skills such as automatic programming, case-based reasoning, neural networks, Fuzzy Logic, decision-making, expert systems, natural language processing, pattern recognition and speech recognition etc. The artificial intelligence and machine intelligence technologies bring more complex data-analysis features to existing applications. Therefore, there is a thrust in using machine learning approaches to build new solutions in business. The curriculum is designed keeping in view the need of the industry.
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Semester 1
Credits
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Advanced Algorithms and Analysis
3 -
Machine Learning Techniques
3 -
Artificial Intelligence and Neural Networks
3 -
Statistical Modelling for Computer Sciences
3 -
Elective I
3 -
Artificial Intelligence and Neural Networks Lab
2 -
Machine Learning Lab
2
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Semester 2
Credits
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Fuzzy Logic and its Applications
3 -
Computational Intelligence
3 -
Knowledge Engineering and Expert Systems
3 -
Problem Solving Methods and Automated Reasoning
3 -
Elective II
3 -
Knowledge Engineering and Expert Systems Lab
2 -
Computational Intelligence Lab
2
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Semester 3
Credits
-
Project work- Phase I
12
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Semester 4
Credits
-
Project Work –Phase II
12
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62
List of Electives
- Data Security
- Data Mining & Applications
- Modelling & Simulation of Digital Systems
- Image Processing and Machine learning techniques
- Information Retrieval
- Pattern warehouse
- Big Data Analytics
- Natural language processing and AN
- Computer Vision
- Deep learning techniques
- Cognitive Systems
- Bio-Informatics
- Number theory and Cryptography
- Agent Systems