| Item | Due date | |
o l o |
1. Homework #1: Technical analysis | February 4 |
| 2. Homework #2: Bayesian curve fitting | February 25 | |
| 3. Homework #3: TBD | March 25 | |
| 4. Homework #4: Network programming | April 10 | |
| 5. Homework #5: TBD | April 29 | |
r o u p |
1. Assignment #1: Data collection module | February 20 |
| 2. Assignment #2: XML modeling | March 12 | |
| 3. Assignment #3: Machine learning module | March 25 | |
| 4. First report | March 31 | |
| 5. First demo | April 10 | |
| 6. Assignment #4: Web service infrastructure | April 28 | |
| 7. Second report (includes revised 1st report) | May 7 | |
| 8. Second demo | May 8 | |
| 9. Electronic Project Archive | May 11 | |
Jan
23 (F) Introduction
30 (F) Machine learning: Curve fitting & Probability theory
Bishop textbook, Chapter 1, slides available here
Feb
6 (F) Machine learning 2
13 (F) Machine learning 3
20 (F) Machine learning 4
27 (F) Machine learning 5
Mar
6 (F) ******* PROJECT PRESENTATION *******
13 (F) XML, XML Schema
*** (Spring Recess: March 14 - 22) ***
Interim Project Report due on 31 Mar
27 (F) XSL, Linking and Pointing
Apr
3 (F) Network Programming, HTTP, Web Services
10 (F) ******* PROJECT DEMO *******
17 (F) Service-Oriented Architecture, SOAP
24 (F) WSDL, UDDI
May
1 (F) Web Client Programming and AJAX
8 (F) ******* PROJECT DEMO *******
Final Project Report due on May 4
(Regular Classes End: May 4 · Spring Exams End: May 13)
Ivan Marsic
Created: December 24, 1999
Modified: Sun Feb 15 20:38:54 EST 2009