| Weeks |
Topics |
Notes |
| Week 1 (Sept 22) |
Organization and Introduction |
|
| Week 2 (Sept 27) |
Database: ER Model |
Reading: Peter Chen: The Entity-Relationship Model-Toward a
Unified View of Data[pdf] |
| Week 2 (Sept 29) |
Relational Model |
Reading: E.F. Codd: A Relational Model of Data for Large
Shared Data Banks [pdf] |
| Week 3 (Oct 4) |
Relational Algebra |
|
| Week 3 (Oct 6) |
Relational Calculus |
|
| Week 4 (Oct 11) |
Functional
Dependency |
Homework Assignment 1 |
| Week 4 (Oct 13) |
Datalog |
|
| Week 5 (Oct 18) |
Text: Information Retrieval
Introduction / Vector Space Model |
|
| Week 5 (Oct 20) |
CS Conference Room: 3:30pm |
Guest Speaker: Hanghang Tong,
Fast Algorithms for Mining Large Graphs |
| Week 6 (Oct 25) |
Probabilistic Model |
HW 1 due (before the class) |
| Week 6 (Oct 27) |
Language Model |
|
| Week 7 (Nov 1) |
Link Model |
|
| Week 7 (Nov 3) |
Text + Relational |
Homework Assignment 2 |
| Week 8 (Nov 8) |
Data Mining: Cube, OLAP |
|
| Week 8 (Nov 10) |
Association Rule |
|
| Week 9 (Nov 15) |
Frequent Pattern |
|
| Week 9 (Nov 17) |
Classification: Naive Bayesian
/ Decision Tree |
HW2 due (before the class) |
| Week 10 (Nov 22) |
Classification: Support Vector
Machine |
Homework Assignment 3 |
| Week 10 (Nov 24) |
No class |
Thanksgiving Holiday |
| Week 11 (Dec 29) |
Clustering: Kmeans |
|
| Week 11 (Dec 1) |
Clustering: Hierarchical
Clustering |
HW3 due (before the class), Project Report due |
| Week 12 (Dec 8) |
Final Exam: closed book written exam |
4:00-7:00pm,
Phelps 2510 |
|
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