EC60091: Machine Intelligence And Expert Systems
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| EC60091 | |||||||||||||||||||||||||||||
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| Course name | Machine Intelligence And Expert Systems | ||||||||||||||||||||||||||||
| Offered by | Electronics & Electrical Communication Engineering | ||||||||||||||||||||||||||||
| Credits | 3 | ||||||||||||||||||||||||||||
| L-T-P | 3-0-0 | ||||||||||||||||||||||||||||
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| Semester | Autumn | ||||||||||||||||||||||||||||
Syllabus[edit | edit source]
Syllabus mentioned in ERP[edit | edit source]
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[edit | edit source]
Student Opinion[edit | edit source]
How to Crack the Paper[edit | edit source]
Classroom resources[edit | edit source]
Additional Resources[edit | edit source]
Time Table[edit | edit source]
| 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 | |
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| Monday | F102 | |||||||||
| Tuesday | F102 | F102 | ||||||||
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| Friday |