Bihar Engineering University, Bihar, Computer Engineering Semester 5, Artificial Intelligence Syllabus

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Unit - 1 Introduction

UNIT 1

Introduction

1.1 Introduction Overview

1.2 Turing test

1.3 Intelligent agents

1.4 Problem Solving Solving Problems by Searching Uninformed search Depth First Search Breadth First Search

1.5 DFID Depthfirst Iterative deepening

1.6 Heuristic search

1.7 Generate and Test

1.8 Best First Search

1.9 Beam Search

1.10 Hill Climbing

1.11 A* Search Algorithm

1.12 Problem reduction search

1.13 ANDOR Graphs

1.14 AO* Search

1.15 Constraint satisfaction

1.16 Meansends analysis

1.17 Stochastic search methods

1.18 Simulated Annealing

1.19 Particle Swarm Optimization

1.20 Game Playing Minimax algorithm

1.21 Alphabeta pruning

Unit - 2 Knowledge and Reasoning

UNIT 2

Knowledge And Reasoning

2.1 Knowledge and Reasoning Building a knowledge base

2.2 Propositional logic

2.3 First order logic

2.4 Inference in first order logic

2.5 Resolution – refutation proofs

2.6 Theorem Proving in First Order Logic

2.7 Planning

2.8 Partial order planning

2.9 Uncertain Knowledge and Reasoning

2.10 Probabilities

2.11 Bayesian Networks

Unit - 3 Learning

UNIT 3

Learning

3.1 Learning Overview of different forms of learning unsupervised supervised semisupervised

3.2 Kmeans clustering algorithm

3.3 Decision Trees

3.4 Neural Networks

3.5 Deep Learning

Unit - 4 Advanced topics

UNIT 4

Advanced Topics

4.1 Introduction to Computer Vision

4.2 Natural Language Processing

4.3 Expert Systems

4.4 Robotics

4.5 Genetic Algorithm

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Other Subjects of Semester-1
Software engineering
Database management systems
Professional skill development
Formal language & automata theory
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