Lesson Plan
| Name of the Faculty | Pradeep | |||
| Discipline | MCA | |||
| semester | IV Sem | |||
| subject | Artificial Intelligence & Expert System | |||
| Paper Code | 17MCA34C3 | |||
| Lesson plan duration | From Jan 2018 to April 2018 | |||
| work load lecture per week(in hours) | 4 lectures | |||
| Week | Theory | Practical | ||
| Lecture Day | Topic (including assignment/test) | Practical Day | Topic | |
| 1st | 1 | Definition and applications of artificial intelligence | 1 | study of prolog |
| 2 | Problem solving: Defining the problem as state space search, |
2 | program to print a message in prolog | |
| 3 | Production system, Problem characteristics, Problem system characteristics, |
3 | program to find roots of quadratic equation | |
| 4 | Search techniques: Generate and test, Hill climbing, | |||
| 5 | Best first search, A* algorithm | 4 | program to find factorial of a given number | |
| 2nd | 6 | Problem reduction | 5 | write a program in prolog to append |
| 7 | Expert system: Definition, | 6 | convert uppercase string to lowercase | |
| 8 | Role of knowledge in expert system | 7 | program in prolog to reverse a list | |
| 3rd | 9 | Architecture of expert system | 8 | program to find length of a given string |
| 10 | Problem select ion, | |||
| 11 | Prototype construction | 9 | program to find palindrome | |
| 4th | 12 | Formalization, | 10 | program to solve problem of tower of Hanoi |
| 13 | Implementation, | |||
| 14 | Evaluation, Knowledge acquisition: Knowledge engineer, | 11 | PROGRAM IN PROLOG FOR ROADMAP | |
| 5th | 15 | Cognitive behavior,Acquisition techniques, | 12 | program for medical expert system |
| 16 | Knowledge representation: Level of representation, | 13 | program in prolog for family tree | |
| 17 | Knowledge representation schemes | |||
| 6th | 18 | Formal logic, Inference Engine, | 14 | program for water jug problen in prolog |
| 19 | Semantic net, | |||
| 20 | Frame,scripts | 15 | diagnosis system for childhood diseases | |
| 21 | Perception: Sensing, Speech | |||
| 7th | 22 | recognition, Vision | 16 | write a program in prolog for BFS |
| 23 | Action, Neural networks : Introduction, | |||
| 24 | Comparison of artificial neural networks with biological neurons | 17 | PROGRAM IN PROLOG FOR N-QUEEN | |
| 8th | 25 | Learning in neural networks, | 18 | program for electrical expert system |
| 26 | Perceptrons, Back propagation networks, | |||
| 27 | application of neural networks, Fuzzy logic :Definition | 19 | program to perform addition operation | |
| 9th | 28 | Difference between Boolean and Fuzzy logic, fuzzy subset, | 20 | WRITE A PROGRAM IN PROLOG FOR DFS |
| 29 | fuzzy membership function, | 21 | prolog program of fibonaaci series | |
| 30 | fuzzy expert system | |||
| 10th | 31 | Inference process for fuzzy expert system | 22 | find last element in given list |
| 32 | fuzzy controller. | |||
| 33 | Programming in Logic (PROLOG): Introduction, | 23 | program to perform addition operation | |
| 11th | 34 | Prolog variables, Using rules | 24 | program to perform subtraction operation |
| 35 | Input and Output predicates, | |||
| 36 | Fail and cut predicates | 25 | program to perform multiplication operation | |
| 12th | 37 | Recursion, Arithmetic operation | ||
| 38 | Compound object, | 26 | program to perform division operation | |
| 13th | 39 | String, File operations | ||
| 40 | Dynamic database,Lists | |||