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ARTIFICIAL INTELLIGENCE WITH MACHINE
LEARNING

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 Artificial intelligence Teac h Mark s
-3 Hrs
interpretations strategy

Learning Explain concept of language processing & gam 10 10
Outcom e 1 ing strategy

Contents ● NLP: Introduction, applications, phases, approaches &
difficulties
Method
Assessm ent ● Parsing: Context free grammer, RTN, ATN
Learning ● Reasoning: forward, backward, monotonic, nonmonotonic
Outcom e 2 ● Gaming Strategy: Min-max Search technique, alpha beta
Contents
pruning
Method
Assessm ent of External: End semester theory examination (Pen paper test).
Learning
Outcom e 3 Classify about artificial neural netw ork 6 10

AI vs Human intelligence, Structure of Neural network, Basic
model of ANN, Hebb network

of External: End semester theory examination (Pen paper test).

Make use of AI Processing & Predicting 6 10
behaviour

Contents Make use of available AI programming language (eg. Python )
for creating conversational application (eg: text translator,
sentimental analysis)

Method of External: Laboratory observation and viva vice.
Assessm ent

RGPV ( DI PLOMA W I OBE CURRI CULUM FOR THE FORMAT- 3 Sheet No.
COURSE
NG) BHOPAL 4/5

Branch I nform ation Technology Sem ester V

ARTIFICIAL INTELLIGENCE WITH MACHINE
LEARNING