CS398T
Fall 2008 Course Schedule
|
Week |
Date |
Topic |
Faculty/Reading |
|
|
1 |
8/29 |
F |
Welcome to the Department, Course Overview, Q&A |
J Moore |
|
2 |
9/5 |
F |
Succeeding in Graduate School |
|
|
3 |
9/8 |
M |
TA Training 1 |
|
|
9/12 |
F |
Crafting Successful Discussion Sections |
||
|
4 |
9/15 |
M |
Successful publishing |
(another viewpoint: Sample unpublished paper submission |
|
9/19 |
F |
|||
|
5 |
9/22 |
M |
Successful Presentations |
|
|
9/26 |
F |
|||
|
6 |
9/29 |
M |
Algorithms for Multicore Computing |
|
|
Amorphous
Data-parallelism in Sparse Graph Algorithms |
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|
10/3 |
F |
Computer security
research at UTCS |
||
|
7 |
10/6 |
M |
Visual Search and
Recognition |
|
|
Hardware Analysis and
Verification |
||||
|
10/10 |
F |
Algorithms for
reconstructing evolutionary histories in Biology and Linguistics |
||
|
Neural Networks and Evolutionary
Computation |
||||
|
8 |
10/13 |
M |
Operating system
support for programming multicores |
|
|
10/17 |
F |
Algorithms for
Machine Learning |
||
|
9 |
10/20 |
M |
Cryptography and Network Security |
|
|
Bioinformatics
from the Database Perspective |
||||
|
10/24 |
F |
Graduate Student Panel 1 |
|
|
|
10 |
10/27 |
M |
ACL2: Software
Verification |
|
|
Discussion |
||||
|
10/31 |
F |
Interprocedural Query Extraction for Transparent Persistence |
||
|
11 |
11/3 |
M |
Dependence-Aware Transactional Memory for Increased
Concurrency |
|
|
How
much parallelism is there in irregular applications? |
||||
|
11/7 |
F |
Wireless
networking research at UTCS |
||
|
21st
Century Real-Time Systems |
||||
|
12 |
11/10 |
M |
||
|
Unified
approach to |
||||
|
11/14 |
F |
Machine Learning
for Natural Language and Relational Data |
||
|
Machine
Learning models of Embodied Cognition |
||||
|
13 |
11/17 |
M |
Automatic Programming by Reuse of Generic Algorithms |
|
|
Bridging Relational Databases with the Web of Data |
||||
|
11/21 |
F |
Autonomous Multiagent Learning:
An introduction to Peter Stone's Learning Agents Research Group |
||
|
14 |
11/24 |
M |
Troubleshooting
Chronic Conditions in Large IP Networks |
|
|
Learning Complementary Multiagent
Behaviors: A Case Study |
||||
|
15 |
12/1 |
M |
Dynamic Bug
Detection and Tolerance |
|
|
Online Metric Learning |
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|
12/5 |
F |
Wrap-up |
|