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ARTIFICIAL INTELLIGENCE WITH MACHINE

RGPV ( DI PLOMA W I LEARNING Sheet N
o.
NG) BHOPAL OBE CURRI CULUM FOR THE FORMAT- 3
COURSE 2/5

Branch I nform ation Technology Sem ester V

Course Code Course N am e Artificial I ntelligence w ith Machine
Learning

Course Outcom e Apply AI search strategy in different Teac h Mark s
– 2 problem areas Hrs

Learning Dem onstrate production system to apply 10 10
Outcom e 1 searching techniques

Contents ● Describe production system & its type
● Uninformed Search Strategy: Breadth first search, Depth first

search, depth limited search
● Informed Search Strategy (Heuristic Search): Heuristic

function, Greedy best search, A* & AO* algorithms
● Local Search: Hill Climbing

● Genetic algorithm : Concept

Method of External: End semester theory examination (Pen paper test).
Assessm ent
Outline Know ledge Representation for AI logic 8 10
Learning concept
Outcom e 2
● Knowledge Representation: Concept, Issues, Approaches
Contents ● Propositional and Predicate logic
● Semantic Network, Conceptual dependency, Frame, Script

Method of Internal: Mid semester theory examination (Pen paper test).
Assessm ent

Learning Solve artificial intelligence problem s 4 10
Outcom e 3

Contents Able to implement basic AI problems (eg. Water jug problem,
monkey banana problem, 8-Queen problem, Optimal Path
finding) using python programming

Method of Internal: Lab Observation/Assignment
Assessm ent

RGPV ( DI PLOMA W I OBE CURRI CULUM FOR THE FORMAT- 3 Sheet N
COURSE o.
NG) BHOPAL
2/ 3/5
6

ARTIFICIAL INTELLIGENCE WITH MACHINE
LEARNING