1. MS in CS Through Distance Education
Christoph F. Eick
Department of Computer Science
University of Houston
2001/2002

2. The Department Faculty 19 Regular Faculty Members
4 new Faculty Members recruited this year
At least 3 new positions per year for the next three years
15 Lecturers
4 Adjunct Professors

3. The Department Students 40 Ph. D. Students 350 MS Students
60% Thesis Option
40% Non-Thesis Option
500 Undergraduate Students
Science Option
Business Option

4. Ph. D. Program Degree Requirements 48 hours of course work
30 hours at 6000 level
18 hours at 7000 level
24 hours of research hours
Dissertation
1 year full-time residency

5. MS Degree Program Thesis Option The default Plan
May continue to Ph. D. study
Stronger financial support (TA, RA, Fellowship, Scholarship)
May not change to Non-Thesis Option

6. MS Degree Program Non-Thesis option New plan starting Fall 2000
Courses only
English requirement for foreign students (TOEFL 650)
May change to Thesis Option

7. MS in CS Through DE Same degree as on-campus Master of Science degree
No need to come to campus on a regular basis
Same admission standard and degree requirements

8. Thesis MS Requirements
24 credit hours of course work
15 hours of regular courses
9 hours of regular or
special topic,
special problem,
advanced undergraduate electives,
non-CS, or transfer courses
6 credit hours of thesis work

9. Non-Thesis MS Requirements
36 credit hours of course work
24 hours of regular courses
12 hours of regular or
special topic,
special problem,
advanced undergraduate electives,
non-CS, or transfer courses
No thesis work

10. PB No
Admission?
30 hours or more
Yes
MS (Thesis)
MS (Non-Thesis)
Ph. D.
PB: Post Baccalaureate

11. Course Evaluation and Advising
Road Map
Admission
Course Evaluation and Advising
Prerequisite Courses
Graduate Courses
Thesis

12. Admission into the UH Central Computer Science Graduate Programs
Admission is a competitive process; satisfying the minimum requirements does not guarantee admission.
In the last 2 semesters we admitted about 30-35% of the applicants.

13. MS Minimum Admission Requirements
GRE (International Students)
Verbal + Quantitative >= 1,000
Quantitative >= 600
GRE (U.S. Students)
Verbal + Quantitative >= 1,150
TOEFL (Non-native speakers) >= 550
Meeting the minimum requirements does not guarantee admission

14. MS Admission Requirements
Bachelor’s degree (transcript) in Computer Science or related fields
Computer Courses
at least 2 programming courses
Math Courses
at least 2 courses beyond Calculus II
Meeting the minimum requirements does not guarantee admission

15. Factors Considered in Admitting Students
Quality of schools from which past degree(s) were received
GPA
GRE
Letters of recommendations
Computer Science background …

16. Graduate Application Deadlines
May 1(Int.)/July 1, 2002 (for Fall 2002)
October 1(Int.) / December 1, 2002 (for Spring 2003)

17. Course Evaluation and Advising
Road Map
Admission
Course Evaluation and Advising
Prerequisite Courses
Graduate Courses
Thesis

18. Course Evaluation and Advising
Students must see the graduate advisor for course advising before taking courses
MS (including DE students)
PB (including DE students)
Christoph F. Eick

19. Course Evaluation and Advising
Road Map
Admission
Course Evaluation and Advising
Prerequisite Courses
Graduate Courses
Thesis

20. Prerequisite Courses Intro. to CS (Assembly)
Not available through ITV
Intro. to CS (Assembly)
Logic and Computing Machines
Numerical Analysis *
Structured Programming and Analysis
Language and Compilers
Operating Systems

21. Prerequisite Courses * Not required for non-thesis option Calculus I
Not available through ITV
Calculus I
Calculus II
Calculus III *
Linear Algebra
Differential Equations *
* Not required for non-thesis option

22. Course Evaluation and Advising
Road Map
Admission
Course Evaluation and Advising
Prerequisite Courses
Graduate Courses
Thesis

23. Graduate Courses Data Structures and Algorithms Analysis of Algorithms
Data Management
Software Engineering
Declarative Programming Language
Operating Systems
Language and Compilers
Fault-Tolerant Computing Systems
Concurrent Programming

24. Graduate Courses Numerical Analysis Vector Processing
Knowledge Based Systems
Evolutionary Programming
Artificial Intelligence
Theory of Computation
Computer Graphics

25. Graduate Courses Parallel Computations Computer System Performance
Evaluation Computer Networks
Real-Time Systems
Digital Computer System Architecture
Program Analysis and Testing
Computational Complexity
Internet Computing

26. Graduate Courses Probabilistic Analysis of Computer Algorithms
Advanced Data Management
Advanced Software Engineering
Advanced Operating Systems
Advanced Artificial Intelligence
Advanced Parallel Computations
Advanced Mathematical Software

27. Graduate Courses Advanced Vector Processing Data Security
Computer Vision
Neural Computers
Advanced Performance Evaluation
Advanced Automata Theory
Advanced Computer Architecture
Advanced Topics in CS

28. ITV Courses 1-way video and 2-way audio communication, video tapes
The department is committed to offer at least one course through ITV each semester.

29. ITV Courses Offered Spring 2002 ITV Offerings
Object-Oriented Analysis & Design
Computer Graphics

30. Course Evaluation and Advising
Road Map
Admission
Course Evaluation and Advising
Prerequisite Courses
Graduate Courses
Thesis

31. Faculty Robert Anderson, UT-Austin
Barbara Chapman, Queen's University, Belfast, N. Ireland
Albert Cheng, U. of Texas-Austin
K. H. Cheng, U. of Minnesota
Christoph Eick, Karlsruhe, Germany
J. C. Huang, U. of Pennsylvania

32. Faculty Stephen Huang, U. of Texas-Austin
Olin Johnson, U. of California
Lennart Johnsson, Chalmers, Sweden
Ioannis A. Kakadiaris, U. of Pennsylvania
Willis King, U. of Pennsylvania
Ernst Leiss, TU Wien

33. Faculty Jehan-Francois Paris, U. of California Jaspal Subhlok, Rice U.
Rakesh Verma, SUNY-Stony Brook

34. New Faculty in Spring 2002 Yuriy Fanfanov, Kuibyshev State University
George Zouridakis, University of Houston
Michael Resch, University Stuttgart
Marc Garbey, Ecole Central de Lyon

35. Adjunct Faculty John Dennis, Utah Ken Kennedy, New York University
(Computational & Applied Rice)
Ken Kennedy, New York University
(Computer Rice)
Montgomery Pettitt, UH
UH)

36. Adjunct Faculty
Venkat Subramaniam, UH, (Adjunct Assistant Professor of the Practice)
Danny C. Sorensen, UC at San Diego
(Computational & Applied Rice)
Willy E. Zwaenepoel, Stanford
(Computer Rice)

37. Thank You! Visit our Web Site: http://www.cs.uh.edu
Department of Computer Science University of Houston Houston, Texas
Phone: Fax: