ARTIFICIAL INTELLIGENCE (4 Credits)

Learning Outcomes :

On successful completion of this course, student will be able to: Describe the concept of the intelligent agent and Artificial Intelligence; Explain various intelligent search algorithms to solve the problems; Apply various techniques to an agent when acting under certainty; Apply various learning algorithms to solve the problems; Analyze the role of Ethical in Artificial Intelligence

Topics :

Introduction to Artificial Intelligence ; Intelligent Agents ; Local Search ; Search Strategies ; Adversarial Search ; Proposal Presentation ; Quantifying Uncertainty ; Introduction to Bayesian Network ; Bayesian Network ; Markov Model and Hidden Markov Model ; Fuzzy Set ; Fuzzy Logic ; Review ; Introduction to Machine Learning ; Linear Regression ; Decision Tree ; Support Vector Machine ; K-Nearest Neighbour ; K-Means ; Project Presentation ; Principal Component Analysis ; Introduction to Neural Network and Deep Learning ; Application and Ethics in Artificial Intelligence