The course contains 5 chapters as follows:

Chapter 1: Introduction to Artificial Intelligence

    Introduction to Artificial Intelligence

    What can AI do?

Chapter 2: Knowledge Representation

    Propositional Logic

    First-order Logic

    KR Overview

    Semantic Network

    Frame Representation Language

    Abduction

Chapter 3: Search

    Uninformed Search: Depth-First Search

    Uninformed Search: Breadth-First Search and Uniform-Cost Search

    Informed Search

    Adversarial Search

Chapter 4: Machine Learning and Deep Learning

    Logistic Regression

    KNN

    Kernalization

    K-Means

    Agglomerative Clustering

    Entropy and Information

    ID3 and C4.5 Algorithms

    Neural Networks

    Convolutional Neural Networks

Chapter 5: AI Applications 

    Image and CNN

    Information Retrieval 

    Natural Language Processing