CSE 6363 (Fall 2008) |
| Lecture |
GACB 105 | Mondays and Wednesdays 2:30-3:50 PM |
| Instructor |
Heng Huang | Nedderman Hall 308 | Office hours: Mondays and Wednesdays 4:00-5:20 PM |
| Textbook |
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| Work |
Three homework sets. (30%) Class presentations. (20%) Final project. (30%) Participation. (20%) |
| Request |
Good math and programming background, for Master student, CSE 4308 or CSE 5360 (Artificial Intelligence I) is requested. |
| Homeworks |
Three homeworks will be assigned later. |
| Paper presentations |
Each student is expected to present one paper in the course of the semester and lead the discussion on the paper. The paper will be distributed to students later. |
| Project |
Students will be asked to prepare, submit and present one project which will due at the end of the semester (I will post a project list). Students can choose his/her own topic to investigate. You will need to submit a short (one page) proposal for the purpose of approval and feedback for the final project. |
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Week 1. |
Mon Aug 25: No Class, the lecturer will attend ACM KDD conference. |
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Week 2. |
Mon Sep 1: No Class, Labor Day |
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Week 3. |
Mon Sep 8: Probability Distributions |
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Week 4. |
Mon Sep 15: Linear Models II |
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Week 5. |
Mon Sep 22: Linear Models for Classification II |
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Week 6. |
Mon Sep 29: Neural Network II |
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Week 7. |
Mon Oct 6: Convex Optimization Overview II |
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Week 8. |
Mon Oct 13: Learning with Kernels II |
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Week 9. |
Mon Oct 20: PCA and SVD |
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Week 10. |
Mon Oct 27: Graphical Models I |
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Week 11. |
Mon Nov 3: EM Algorithm |
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Week 12. |
Mon Nov 10: Sampling Methods II |
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Week 13. |
Mon Nov 17: Class Presentations |
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Week 14. |
Mon Nov 24: Decision Tree |
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Week 15. |
Mon Dec 1: Advanced Topics in Machine Learning I |