Recommonded book for this course is Artificial Intelligence: A Modern Approach ( AIMA )
| Lectures (grouped by topics) |
Lecture Slides | Recommended Readings |
|---|---|---|
| Introduction to AI | Fundamantals of AI | UNIT-1: Fundamentals, History, Application of AI |
| Problem Solving and Searching |
Chapter-1a
Chapter-2a Chapter-2b (Handouts of uninformed search and informed search). |
UNIT-2: Chapter-1 and Chapter-2 |
| Searching and Local Search |
Chapter-3a
Chapter-3b Chapter-3c Chapter-4 |
UNIT-2: Chapter-3 |
| Constraint Satisfaction Problems | Chapter-6 Map/Node coloring problems and crypto puzzles | UNIT-3: Chapter - 6 |
| Propositional Logic and First Order Logic | Propositional Logic and First Order Logic or Predicate Logic | UNIT-3 |
| Perceptron, MLP, ANN, Genetic Algorithm, Planning | Artifical Neural Networks, MLP, Genetic Algorithms, Planning | UNIT-4 |
***Please feel free to contact me if you have any doubt regarding the topics discussed in the lectures and assignments.
Submit your assignment(s) before due date
| Assignment (uploaded in google classroom) | Start | Due |
|---|---|---|
| 1: Based on uninformed search | ---- | ---- |
| 2: Based on informed search | ---- | ---- |
| 3: Based on node coloring problem | ---- | ---- |
| 4: Based on crypto-arithmetic problem | ---- | ---- |
| 5: Based on first order logic and reasoning | ---- | ---- |
| 6: Based on Artificial neural network | ---- | ---- |
| 7: Based on Genetic Algorithm | ---- | ---- |
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