Artificial Intelligence And Expert Systems Detailed Syllabus for Automation M.Tech first year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Artificial Intelligence And Expert Systems M.Tech 2017-2018 (R17) first year second sem is as follows.
M.Tech. I Year II Sem.
UNIT- : Artificial Intelligence: Introduction, definition, underlying assumption, important of AI.AI & related fields State space representations, defining a problem, production systems and its characteristic, search and control strategies – Introduction, preliminary concepts, examples of Search problems.
UNI T- II : Uniformed or Preliminary Concepts: Examples of search problems, Uniformed or Blind Search, Informed Search, Or Graphs, Heuristic Search techniques – Generate and Test, Hill climbing, best first search, problem, reduction, constraint satisfaction, Means – Ends Analysis. Knowledge Representation Issues: Representations and Mapping, Approaches, Issues in Kr, Types of Knowledge procedural Vs Declarative, Logic programming. Forward Vs Backward reasoning, Matching, Non monotonic reasoning and it logic.
UNI T- III : Use of Predicate Logic: Representing Simple facts, Instance and is a relationships, Syntax and Semantics for propositional logic, FOPL, and properties of Wffs, conversion to casual form, Resolution Natural deduction Statistical and Probabilistic Reasoning : Symbolic reasoning under uncertainly, Probability and Bayes’ theorem, Certainty factors and Rule based systems, Bayesian Networks, Dempster – Shafer Theory, Fuzzy Logic.
UNI T- IV : Expert Systems: Introduction, Structure and uses, Representing and using domain knowledge, Expert System shells. Pattern recognition, introduction, Recognition and classification process, learning classification patterns, recognizing and understanding speech.
UNI T- V : Introduction to Knowledge Acquisition: Types of learning, General Learning model, and performance measures. Typical Expert Systems: MYCIN, Variants of MYCIN, PROSPECTOR, DENDRAL, PUFF etc. Introduction to Machine Learning: Perceptions, Checker Playing examples, Learning, Automata, Genetic Algorithms, Intelligent Editors.
REFERENCES:
- Artificial intelligence / Elaine Rich & Kevin Knight/ M/H 1983.
- Artificial intelligence in business, Science & Industry / Wendry B.Ranch, Vol II application/ PH/1985
- A guide to expert systems / Waterman, D. A., Addison/ Wesley inc. 1986.
- Building expert systems / Hayes, Roth, Waterman/ D.A(ed) AW /1983.
- Designing expert systems/ wets, S.M. and Kulliknowske/ London champion Hull 1984.
For all other M.Tech 1st Year 2nd Sem syllabus go to JNTUH M.Tech Automation 1st Year 2nd Sem Course Structure for (R17) Batch.
All details and yearly new syllabus will be updated here time to time. Subscribe, like us on facebook and follow us on google plus for all updates.
Do share with friends and in case of questions please feel free drop a comment.