EC60091: Machine Intelligence And Expert Systems

From Metakgp Wiki
Jump to navigation Jump to search
EC60091
Course name Machine Intelligence And Expert Systems
Offered by Electronics & Electrical Communication Engineering
Credits 3
L-T-P 3-0-0
Previous Year Grade Distribution
19
33
18
8
2
2
1
EX A B C D P F
Semester Autumn


Syllabus

Syllabus mentioned in ERP

Pre-requisites: NoneIntroduction to AI, Concept learning and general-tospecific ordering, Decision Tree Learning, Artificial Neural Netwok, Bayesian learning, genetic algorithm, Problem Space Representation, Heuristic Search Techniques, Knowledge Representation, Predicate Logic Reasoning Under Uncertainty, Statistical Reasoning, Game Playing, Planning, Learning, Expert System Design, Expert System Shell, Case Studies of Typical Expert Systems, PROLOG.


Concepts taught in class

Student Opinion

How to Crack the Paper

Classroom resources

Additional Resources

Time Table

Day 8:00-8:55 am 9:00-9:55 am 10:00-10:55 am 11:00-11:55 am 12:00-12:55 pm 2:00-2:55 pm 3:00-3:55 pm 4:00-4:55 pm 5:00-5:55 pm
Monday F102
Tuesday F102 F102
Wednesday
Thursday
Friday