CSC 7501 : Doctoral Seminar II

Spring 2005

An inspirational quote for this class:
"Computer Science is no more about computers
than astronomy is about telescopes."
-- E. W. Dijkstra

Instructor: Bogdan Chlebus
Instructor's Office: 3815 B North Classroom
Office Hours: MW 2:30 - 5:00 PM; other times by appointment
Office Phone: 303-556-8537

Bogdan dot Chlebus at cudenver dot edu

Regular place: NC 1525

Regular time: Mondays and Wednesdays: 7:00pm - 8:15pm

Course Description: Promotes research skills through exposure to diverse research presentations. Participants give presentations and participate in discussions. A preferred topic of presentation is the speaker's own research. Alternative topics include overviews of research areas and reviewing important published articles in the field of interest.

Prerequisites: PhD standing.

The course consists of two parts, which are split into Mondays and Wednesdays, respectively. The Monday sessions are devoted exclusively to students' presentations. The Wednesday sessions serve the purpose to be the CSE Departmental Seminars. Enrolled students may give presentations in any of the two sessions. The schedule below if for Mondays only. To see the Wednesday schedule, click here.

Monday Schedule:

# When Speaker Title -> Abstract
1 Jan 17 Holiday no classes
2 Jan 24 Shaojun Sun Computerization of Methods used in Manual Analysis of MS/MS Spectra
3 Jan 31 Chia-Yu Yen Improving Sensitivity in Shotgun Proteomics
4 Feb 7 Joe Gradecki Identification of Rogue Nodes in an Anonymous Peer-to-Peer Network
5 Feb 14 Thami Rachidi Unsupervised Clustering
6 Feb 21 Joe Gradecki On Rogue Nodes in an Anonymous Peer-to-Peer Network, continued
7 Feb 28 Roberta Housley Models for Epidemic Virus Spreading
8 Mar 7 Arta Doci Should We Automate Testing?
9 Mar 14 Arta Doci How Many Clusters?
10 Mar 21 Spring break no classes
11 Mar 28 Joe Fowler Realizing Graph Thickness
12 Apr 4 Joe Fowler Graph-Thickness Genetic Algorithm
13 Apr 11 Roberta Housley Comparison of West Nile Virus and Human Poliovirus Type I
14 Apr 18 Thami Rachidi Generating and Analysing Gene Expression Data
15 Apr 25 Chia-Yu Yen Introduction to Semi-Supervised Learning
16 May 2 Shaojun Sun Supervised Machine Learning Algorithm IREP
17 May 9 instructor last meeting

Calendar : Registration and Academic Deadlines