Artificial Intelligence detail syllabus for Computer Science Engineering (Cse), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RCS702), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, duration, and credits do visit complete sem subjects post given below.
For all other cse 7th sem syllabus for b.tech 2019-20 scheme aktu you can visit CSE 7th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. The detail syllabus for artificial intelligence is as follows.
Unit I
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Unit II
Introduction to Search : Searching for solutions, Uniformed search strategies, Informed search strategies, Local search algorithms and optimistic problems, Adversarial Search, Search for games, Alpha-Beta pruning
Unit III
Knowledge Representation & Reasoning: Propositional logic, Theory of first order logic, Inference in First order logic, Forward & Backward chaining, Resolution, Probabilistic reasoning, Utility theory, Hidden Markov Models (HMM), Bayesian Networks.
Unit IV
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Unit V
Pattern Recognition : Introduction, Design principles of pattern recognition system, Statistical Pattern recognition, Parameter estimation methods-Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA), Classification Techniques-Nearest Neighbor (NN) Rule, Bayes Classifier, Support Vector Machine (SVM), K-means clustering.
Reference Books:
- Stuart Russell, Peter Norvig, Artificial Intelligence-A Modern Approach, Pearson Education
- Elaine Rich and Kevin Knight, Artificial Intelligence, McGraw-Hill
- E Charniak and D McDermott, Introduction to Artificial Intelligence, Pearson Education
- Dan W. Patterson, Artificial Intelligence and Expert Systems, Prentice Hall of India.
For detail syllabus of all other subjects of B.Tech Cse, 2019-20 scheme do visit Cse 7th Sem syllabus for 2019-20 scheme.
Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.