Artificial Intelligence course outline

Week No.01 Introduction to A.I, Scope, Natural intelligence vs. artifical intelligence, AI computing vs. traditional computing

Week No.02 Applications of AI, Expert system, Natural Language Processing(NLP), Computer vision, Robotics, neural network, virtual reality

Week No.03 Machine learning, course pre-requisigties, basics of machine learning, popular ML approches, supervised machine learning, unsupervised machine learning, semi-supervised ML.

Week No.04 Neural Network Definitions and Concepts 1

Week No.5-6 Robotics, Robotics And AI, Emergence, Reasons to use robots, Main Application Areas, Laws of Robotics,Types of Robots, Components of a typical Robot, Characteristics of robotics, Robot Sensors, Introduction to Robots Programming Languages

Week No.07 Natural Language Processing (NLP), Natural languages vs. computer languages, Natural language understanding (NLU), Natural language generation (NLG) ETC.

Week No.09 Agents and environments, Rationality, PEAS(Performance measure, Environment, Actuator, Sensors)

Solving Problems by Searching

Searching Algorithms

Informed Searching Strategies

Adversarial Search