| Weeks |
Topics |
Notes |
| Week 1 (Sept 22) |
Organization and Introduction |
|
| Week 2 (Sept 27) |
Classification: Decision Tree /
Naive Bayesian |
|
| Week 2 (Sept 29) |
Regression/Classification:
Support Vector Machine/Random Forest |
|
| Week 3 (Oct 4) |
Clustering:
Kmeans |
|
| Week 3 (Oct 6) |
Advanced Clustering |
|
| Week 4 (Oct 11) |
Knowledge Graph |
|
| Week 4 (Oct 13) |
Text: Information Retrieval
Introduction / Vector Space Model |
|
| Week 5 (Oct 18) |
Probabilistic Model |
Project Proposal due (before the class) |
| Week 5 (Oct 20) |
Language Model |
|
| Week 6 (Oct 25) |
Topic Modeling, LDA |
Semih |
| Week 6 (Oct 27) |
Word2Vec |
Yu |
| Week 7 (Nov 1) |
Link Model |
|
| Week 7 (Nov 3) |
Database: ER Model |
|
| Week 8 (Nov 8) |
Relational Model |
HW 1 |
| Week 8 (Nov 10) |
Relational Algebra / Relational Calculus |
|
| Week 9 (Nov 15) |
Question
Answering |
Izzeddin |
| Week 9 (Nov 17) |
Functional
Dependency |
|
| Week 10 (Nov 22) |
Datalog |
|
| Week 10 (Nov 24) |
Holiday |
|
| Week 11 (Nov 29) |
Project Presentation |
HW 1 due (before the class) |
| Week 11 (Dec 1) |
Project Presentation |
|
| |
|
|
| Week 12 |
Final Exam 12/07/16 Wed
12:00-3:00pm (the same room) |
Final Exam |
|
Project Report: Mid night,
11:59pm 12/08/2016 (email the pdf to me) |
Project Report Due |