CSE-315 Artificial Intelligence
E-mail: atik@cse.green.edu.bd
🕾 Mob. +8801912961096
Room: A-510 Desk No. : 06
Class Routine – Spring 2025 Semester
| Time Day | 09:00 - 10:20 | 10:20 - 11:40 | 11:40 - 01:20 | Break | 01:30 - 02:50 | 02:50 - 04:10 |
|---|---|---|---|---|---|---|
| Sat | CSE-435 212_D1 R: J-109 | Research Time | CSE-436 212_D2 R: K-101 | Â | Â | Â |
| Sun | CSE-315 221_D10 R: A-605 | Tutor Time | CSE-436 213_D1 R: A-501 | Â | Â | Â |
| Mon | Â | Research Time | Â | Â | Weekly Academic Meeting | Â |
| Tue | CSE-315 221_D10 R: A-605 | Tutor Time | Â | Â | CSE 316 221_D20 R: K-109 | Â |
| Wed | Â | Â | Â | Â | Â | Â |
| Â | 08:30 - 09:50 | 09:50 - 11:10 | 11:10 - 12:50 | Break | 02:00 - 03:20 | 03:20 - 04:40 |
| Fri | CSE-435 212_D1 R: J-109 | Tutor Time | CSE-436 212_D1 R: J-108 | Â | Â | Â |
Topic Outline
| Lecture | Selected Topic | Article | Problems |
|---|---|---|---|
| (1) | Socialization and Introduction to the course | - | - |
| (2-3) | What is Artificial Intelligence, The AI problems, The Underlying Assumptions, What is an AI Technique. | T 1.1, 1.2, 1.4 | T 1.1-1.15 |
| (4-6) | Intelligent Agents, Environments, The concept of rationality, The nature of environments, Structure of agents. | T 2.1, 2.2, 2.3,2.4 | T 2.1-2.13 |
| (7-9) | Breadth First Search, Depth First Search, Bi-directional Search, Best First Search. | T 3.4, 3.4, 3.4.3,5 | T 3.1-3.32 |
| (10-12) | Heuristic Functions and Their Effects on Searching Algorithms, Introduction to Genetic Algorithms | T 3.5, 3.6, 4.1 | T 3.1-3.32 |
| - | Midterm | - | - |
| (13-15) | Knowledge Representation, Proposition logic | T 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 7.7 | T 7.1-7.27 |
| (16-17) | First order logic , Using First order Logic | T 8.1, 8.2, 8.3, 8.4 | T 8.1-8.28 |
| (18-20) | Constraint Satisfaction Problems, Constraint Propagation, Backtracking Search, Local Search. | T 6.1,6.2, 6.3, 6.4 | T 6.1-6.17 |
| (21-23) | Game Playing Overviews, The Minimax search procedure, Adding Alpha-Beta Cut-offs, Iterative Deepening. | T 5.1, 5.3, 5.3, 3.4 | T 5.1-5.22 |
| (24-25) | Planning Overview, An example domain-The blocks world, Components of a planning system. | T 10.1, 10.2, 10.3, 10.5, 10.6 | T 10.1-10.16 |
| (26-27) | Uncertainty- Probability Theory, Bayesian Networks, Certainty Factors Methods, Basics of Fuzzy Logic, Non-monotonic reasoning systems. | T 12.6-12.7, 13.1, 13.2, 13.3, 13.4, 13.5, 13.6, 14.1-14.7, 15.1 | T 13.1-13.25, 14.1-14.21 |
| (28-30) | Natural Language Processing Introduction, Syntactic Processing, Semantic Analysis, Discourse & Pragmatic Processing. | T 22.1-22.4, 23.1-23.2, 23.3, 23.4-23.5 | T 23.1-23.19 |