Artificial Intelligence (3170716)

Study Material
3170716 - Artificial Intelligence

Study Material
Syllabus

e-Notes

All-Units | Artificial Intelligence (3170716) Updated on 09-05-2019

Presentations

Unit-1 | Introduction Updated on 22-07-2021
Unit-2 | Problems, State Space Search & Heuristic Search Techniques Updated on 22-07-2021
Unit-3 | Knowledge Representation Updated on 22-07-2021
Unit-4 | Symbolic Reasoning Under Uncertainty Updated on 09-08-2021
Unit-5 | Probabilistic Reasoning Updated on 09-08-2021
Unit-6 | Game Playing Updated on 09-08-2021
Unit-7 | Planning Updated on 18-09-2021
Unit-8 | Natural Language Processing Updated on 18-09-2021
Unit-9 | Connectionist Models Updated on 18-09-2021
Unit-10 | Expert Systems Updated on 18-09-2021
Unit-11 | Genetic Algorithms Updated on 18-09-2021
Unit-12 | Introduction to Prolog Updated on 07-10-2021

Teaching Scheme (in Hours)

Theory	Tutorial	Practical	Total
3	0	2	4

Subject Credit : 4

Examination Scheme (in Marks)

Theory ESE (E)	Theory PA (M)	Practical ESE Viva (V)	Practical PA (I)	Total
70	30	30	20	150

Syllabus Content

Course Outcome

Course Outcome

Understand the search technique procedures applied to real world problems
Understand and use various types of logic and knowledge representation schemes
Understand various Game Playing techniques and apply them in programs.
Gain knowledge in AI Applications and advances in Artificial Intelligence
Use Prolog Programming language using predicate logic

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