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| INTERNATIONAL | XS | S | M | L | XL | XXL | XXXL |
|---|---|---|---|---|---|---|---|
| EUROPE | 32 | 34 | 36 | 38 | 40 | 42 | 44 |
| US | 0 | 2 | 4 | 6 | 8 | 10 | 12 |
| CHEST FIT (INCHES) | 28" | 30" | 32" | 34" | 36" | 38" | 40" |
| CHEST FIT (CM) | 716 | 76 | 81 | 86 | 91.5 | 96.5 | 101.1 |
| WAIST FIR (INCHES) | 21" | 23" | 25" | 27" | 29" | 31" | 33" |
| WAIST FIR (CM) | 53.5 | 58.5 | 63.5 | 68.5 | 74 | 79 | 84 |
| HIPS FIR (INCHES) | 33" | 34" | 36" | 38" | 40" | 42" | 44" |
| HIPS FIR (CM) | 81.5 | 86.5 | 91.5 | 96.5 | 101 | 106.5 | 111.5 |
| SKORT LENGTHS (SM) | 36.5 | 38 | 39.5 | 41 | 42.5 | 44 | 45.5 |
This text is in accordance with the new syllabus NEP-2025 recommended by the Kavayitri Bahainabai Chaudhari North Maharashtra University, Jalgaon, which has been serving the need of S.Y.B.C.A. Computer Science students from various colleges. This text is also useful for the student of Engineering, B.Sc. (Information Technology and Computer Science), M.Sc, M.C.A., B.B.M., M.B.M. other different Computer courses.
UNIT 1............................................7
Introduction to AI
1.1 History of AI.
1.2 The AI Problems.
1.3 What is an AI Technique? Tic-tac-tow, Question answering, Turing-Test.
1.4 Branches of Artificial Intelligence.
1.5 Applications of Artificial Intelligence.
1.6 Intelligent Agents - Structure, Types of Agents and Autonomous Agents.
UNIT 2..........................................25
Problem, Problem Spaces and Search
2.1 Introduction of File Processing System
2.1 Defining the Problem as a State Space Search
o Monkey Banana Problem.
o Tower of Hanoi.
2.2 Production systems.
2.3 Problem Characteristics.
2.4 Production System Characteristics.
2.5 Uninformed Search techniques - DFS and BFS.
2.6 Issues in the Design of Search Programs.
UNIT 3................................................48
Heuristic Search Techniquesn
3.1 Generate-and- Test, Traveling Sales Man Problem
3.2 Hill Climbing
3.3 Best-First Search: OR Graph, A*, Agendas.
3.4 Problem Reduction: AND-OR Graph, AO*
UNIT 4.............................................................55
Knowledge Representation
4.1 Knowledge Representation Issues.
4.2 Representations and Mappings.
4.3 Approaches to knowledge.
4.4 Representation.
4.5 Issues in Knowledge Representation