| Course Name | Computational Intelligence |
| Course Code | 24CLT676 |
| Program | M. Sc. Cognitive Sciences, Learning and Technology |
| Semester | Soft Core |
| Credits | 3 |
| Campus | Amritapuri |
Artificial Intelligence – a Brief Review – Pitfalls of Traditional AI – Need for Computational Intelligence Importance of Tolerance of Imprecision and Uncertainty – Overview of Artificial Neural Networks – Fuzzy Logic-Evolutionary Computation.
Neural Networks: Biological and Artificial Neuron, Neural Networks, Supervised and Unsupervised Learning. Single Layer Perceptron – Multilayer Perceptron – Backpropagation Learning.
Neural Networks as Associative Memories – Hopfield Networks, Bidirectional Associative Memory. Topologically Organized Neural Networks – Competitive Learning, Kohonen Maps.
Fuzzy Logic: Fuzzy Sets – Properties – Membership Functions – Fuzzy Operations. Fuzzy Logic and Fuzzy Inference – Applications. Evolutionary Computation – Constituent Algorithms.
Swarm Intelligence Algorithms – Overview of other Bio-inspired Algorithms – Hybrid Approaches (Neural Networks, Fuzzy Logic, Genetic Algorithms etc.). Case Studies: Prediction Models, Optimization Models.
Prerequisites:
Course Objectives:
The Objective of the course is to make students familiar with basic principles of various computational methods of data processing that can commonly be called computational intelligence. This course introduces the fundamentals of key intelligent systems technologies including knowledge-based systems, neural networks, fuzzy systems, and evolutionary computation.
Course Outcomes:
| COs | Description |
| CO1 | Understand the need for and importance of Computational intelligence. |
| CO2 | Understand the concepts of neural networks and backpropagation learning. |
| CO3 | Implement associative memory using neural networks. |
| CO4 | Understand the idea of fuzzy logic in real-world problems. |
| CO5 | Understand hybrid approaches to solve real-world problems. |
CO-PO Mapping:
| PO/PS O | PO 1 | PO2 | PO 3 | PO4 | PO 5 | PO6 | PO7 | PO8 | PO9 |
| CO | |||||||||
| CO1 | 3 | – | – | – | – | – | – | – | – |
| CO2 | 3 | 2 | 2 | – | – | – | – | – | – |
| CO3 | 3 | 2 | 3 | – | – | – | – | – | – |
| CO4 | 2 | 3 | 3 | – | – | – | – | – | – |
| CO5 | 2 | 3 | 3 | – | – | – | – | – | – |
Evaluation Pattern:
| Assessment | Internal | External |
| Active Participation in Class | 10 | |
| *Continuous Assessment (CA) | 40 | |
| Content produced over the course and submitted at
the last |
50 |
*CA – Can be Quizzes, Assignment, Projects, and Reports, and Seminar
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