Lesson Plan : Intelligent system, Intelligent System Lab

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Lesson Plan
Name of the Faculty   : Priyanka Sharma
Discipline                      :B.TECH
Semester                        :VI Sem
Subject                           :Intelligent system,Intelligent System Lab
Paper Code                   :CCSE-304-F,CSE-308-F
Lesson plan duration :From Jan 2018 to April 2018
work load lecture per week(in hours):3 lectures
Week	Theory		Practical
	Lecture Day	Topic	Practical Day	Topic
1st	1	Foundation and history of AI,	1st	Study of PROLOG
	2	AI problems and techniques – AI programming languages
	3	Introduction to LISP and PROLOG- problem spaces and searches.
2nd	4	Blind search strategies	2nd	Solve any problem using best first search.
	5	Breadth first- Depth first-
	6	Hill climbing: best first- A * algorithm
3rd	7	Heuristic search techniques	3rd	Solve traveling salesman problem.
	8	AO* algorithm-game tree
	9	Min max algorithms
4th	10	Game playing- alpha beta pruning.	4th	Solve any problem using depth first search.
	11	Knowledge representation issues,
	12	Predicate logic- logic programming
5th	13	Semantic nets- frames and inheritance, constraint propagation	5th	Write a program to solve 8 queens problem.
	14	Representing knowledge using rules,
	15	Reasoning under uncertainty, review of probability
6th	16	Rules based deduction systems	6th	Solve 8-puzzle problem using best first search
	17	Baye‟s probabilistic interferences
	18	Dempster shafer theory
7th	19	Heuristic methods,	7th	Solve Robot (traversal) problem using means End Analysis.
	20	Symbolic reasoning under uncertainty, Statistical reasoning
	21	Fuzzy reasoning, Temporal reasoning
8th	22	Non monotonic reasoning.
	23	Planning, planning in situational calculus
	24	Representation for planning, partial order planning algorithm
9th	25	Learning from examples, discovery as learning
	26	I earning by analogy
	27	Explanation based learning, neural nets
10th	28	Genetic algorithms
	29	Principles of Natural language processing
	30	Rule based systems architecture
11th	31	Expert systems, knowledge acquisition concepts
	32	AI application to robotics,
	33	Current trends in intelligent systems.