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An Introduction to Artificial Intelligence

Indian Institute of Technology Delhi and NPTEL via Swayam

Overview

The course introduces the variety of concepts in the field of artificial intelligence. It discusses the philosophy of AI, and how to model a new problem as an AI problem. It describes a variety of models such as search, logic, Bayes nets, and MDPs, which can be used to model a new problem. It also teaches many first algorithms to solve each formulation. The course prepares a student to take a variety of focused, advanced courses in various subfields of AI.

INTENDED AUDIENCE : Undergraduate students in computer sciencePREREQUISITES : Data Structures, ProbabilityINDUSTRY SUPPORT : Most software companies

Syllabus

COURSE LAYOUT

Week 1 :Introduction: Philosophy of AI, Definitions
Week 2 :Modeling a Problem as Search Problem, Uninformed Search
Week 3:Heuristic Search, Domain Relaxations
Week 4 :Local Search, Genetic Algorithms
Week 5 :Adversarial Search
Week 6 :Constraint Satisfaction
Week 7 :Propositional Logic & Satisfiability
Week 8 :Uncertainty in AI, Bayesian Networks
Week 9 :Bayesian Networks Learning & Inference, Decision Theory
Week 10:Markov Decision Processes
Week 11:Reinforcement Learning
Week 12:Introduction to Deep Learning & Deep RL

Taught by

Prof. Mausam

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