| Dates | Topics | Labs | Assignments/Quizzes | Exams |
| Week 1 | Introduction - History and Overview(Sept. 9) | - | - | - |
| Week 2 | Introduction - AI and Learning(Sept. 14) Data(Sept. 16) |
Lab 1 - Data preprocessing | A1 - Data Exploration and Report | - |
| Week 3 | Information based learning I(Sept. 21) Information based learning II(Sept. 23) |
Lab 2 - Discretization algorithm | - | - |
| Week 4 | Information based learning III(Sept. 28) | Lab 3 - Decision Tree | A2 - Decision Tree Application | - |
| Week 5 | Similarity based learning I(Oct. 5) Similarity based learning II(Oct. 7) |
Lab 4 - Distance Functions | - | - |
| Week 6 | Probability based learning I(Oct. 13) Probability based learning II(Oct. 14) |
Lab 5 - Bayesian Belief Network | A3 - Probability applications | - |
| Week 7 | Midterm (Oct. 19) Error based learning I(Oct. 21) |
- | - | Midterm |
| Week 8 | Error based learning II(Oct. 26) Deep Learning(Oct. 28) |
Lab 6 - Neural network algorithm | A4 - Regression model | - |
| Week 9 | Error based learning III(Nov. 2) Predictive Model Evaluation(Nov. 4) |
Lab 7 - Linear Regression Model | - | - |
| - | November 9-13 Fall Study Week |
- | - | - |
| Week 10 | Predictive Model Evaluation(Nov. 16) Cluster Analysis I(Nov. 18) |
Lab 8 - Model and Evaluation | A5 - Clustering application | - |
| Week 11 | Cluster Analysis II(Nov. 23) Outliers(Nov. 25) | Lab 9 - Clustering | - | - |
| Week 12 | AI Agents I(Nov. 30) AI Agents II(Dec. 2) |
Lab A - Agent Programming | - | - |
| Week 13 | AI Agents III(Dec. 7) Summary/Final Review(Dec. 9) |
(Optional) Presentation | - | - |