From: peterson@CS.ColoState.EDU (james peterson)
Newsgroups: soc.college.gradinfo
Subject: Graduate Programs in CS at Colorado State
Date: 28 Aug 92 13:56:07 GMT
Distribution: na
Organization: Colorado State University, Computer Science Department

GRADUATE PROGRAMS IN COMPUTER SCIENCE AT COLORADO STATE UNIVERSITY


PROGRAMS

The Computer Science Department at Colorado State University seeks
outstanding students for advanced study leading to the M.S. and Ph.D.
degrees.  The M.S. program is designed for maximum flexibility so
participants may prepare for professional employment or advanced
graduate study.  The Ph.D. program is meant for well-qualified
individuals who desire careers in academic or industrial research.
While students may study in many areas, active research programs in
architecture, computational methods, graphics, artificial intelligence,
operating systems and distributed computing, software engineering,
parallel processing and functional languages provide special
opportunities for thesis research topics and assistantship support.
A common thread among many projects is parallel processing in a broad
definition including systolic, vector, shared-memory, and distributed
systems.  

The Department has 20 research faculty, 94 graduate students, and 
about 320 undergraduate majors.  Total enrollment at Colorado State
University for 1990-91 is about 21,000 regular, on-campus students,
of whom 3,400 are in graduate studies.  Forty-five percent of the
graduate students are women.  Students come from all 50 states and
94 foreign countries.


FACULTY AND RESEARCH INTERESTS

Charles Anderson, Assistant professor; Ph.D., University of Massachusetts;
Neural networks, machine learning, artificial intelligence, pattern
classification, adaptive control, graphics.

James Bieman, Associate professor; Ph.D., University of Southwestern
Louisiana; Software engineering, executable specifications, software
analysis and testing, programming languages.

A. P. Wim Bohm, Associate professor; Ph.D., University of Utrecht;
Parallel and dataflow architectures, software, and languages.

Karl Durre, Associate professor; Ph.D., Technical University of Hannover;
Algorithms and data structures, human-computer interaction, interfaces
for the blind.

Michael Goss, Assistant professor; Ph.D., University of Texas at Dallas;
Graphics, data visualization, digital signal processing, cartography.

Dale Grit, Associate professor; Ph.D., University of Minnesota;
Parallel functional languages and architectures, operating systems. 

Adele Howe, Assistant Professor; Ph.D., Massachusetts.  Artificial 
intelligence, planning, agent architectures, failure recovery.

Robert Kelman, Professor, Editor for Computers and Mathematics with
Applications and Rocky Mountain Journal of Mathematics; Ph.D.,
University of California at Berkeley; Computational methods, mathematical
software.

Yashwant Malaiya, Professor, Editor of IEEE-CS MicroArch; Ph.D., Utah
State University; Fault-tolerant computing, architecture, VLSI design,
hardware/software reliability evaluation.

Walid Najjar, Assistant professor; Ph.D., University of Southern California;
Parallel processing, dataflow architectures, performance and reliability
evaluation, parallel simulation,

Rodney Oldehoeft, Professor and Chair; Ph.D., Purdue University; Parallel
processing software and systems, functional programming, operating systems.

Kurt Olender, Assistant Professor; Ph.D., University of Colorado;
Software engineering, development environments, software analysis and
evaluation tools, programming languages.

Pradip Srimani, Professor; Ph.D., University of Calcutta; Parallel and
distributed computing, operating systems, graph theory applications.

Anneliese von Mayrhauser, Associate Professor; Ph.D., Duke University;
Software engineering, maintenance, metrics, testing, reliability, 
performance evaluation.

Alan Wendt, Assistant professor; Ph.D., University of Arizona; Languages
and compilers, automated code generators and optimizers.

Darrell Whitley, Assistant professor; Ph.D., Southern Illinois University;
Artificial intelligence, machine learning, genetic algorithms, neural
networks.

Anura Jayasumana, Affiliate faculty; Ph.D., Michigan State University;
Computer networks, VLSI.

Julian Kately, Affiliate faculty; Ph.D., Michigan State University; 
Computer systems evaluation, computer center management.

Michael Molloy, Affiliate faculty; Ph.D., University of California, Los
Angeles; Analytic modeling, stochastic petri nets, networks.

Robert Mueller, Affiliate faculty; Ph.D., University of Colorado;
Microprogramming, retargetable code generation and optimization, logic
programming.

Jack Walicki, Affiliate faculty; Ph.D., Marquette University; Architectures
and algorithms for parallel processing and signal processing, microprogramming.


COMPUTING FACILITIES

For general computing the Department maintains a DECsystem 5000, two
DEC VAX-11 machines, a Sequent B21 multiprocessor, an HP9000/835SE,
two HP9000/350's, and two HP9000/320's, plus numerous Sun SPARC and DEC
workstations.  The Graphics Lab contains two HP9000/375 servers
and five /340 color workstations.  The Software Engineering Lab
contains one HP9000/S400 server and seven /400t workstations.  The
Architectural Studies Lab has one HP9000/S400 server and five /400t
workstations.  The Artificial Intelligence/Neural Nets Lab has five IBM
RS6000/320H workstations and five X terminals.  The Distributed
Computing Lab comprises an ATT 80386-based server networked with 
18 ATT 80386SX systems.  All of these systems run Unix and
are fully networked.  Several laser printers are available.
Apple Mac IIs with color monitors, X terminals and
character displays provide viewports, and modems support remote access.
Access to Internet, Usenet, and BITNET are available.  Computer science
researchers have access to several multiprocessor systems at remote
locations.  Campus facilities include several IBM RS6000 servers and
a visualization laboratory.


ADMISSION AND SUPPORT

Students holding a bachelor's degree and with an appropriate background
may apply to a graduate program.  For additional information and an
application form, direct correspondence to:

   Graduate Programs Coordinator
   Computer Science Department
   Colorado State University
   Fort Collins, CO  80523
   
or call 303/491-7327.  Electronic mail may be sent to
csgradinfo@CS.ColoState.EDU.

Applications are considered throughout the year but should be made as
early as possible.  All applicants who wish to be considered for
financial assistance should apply at least three months before registration
for their beginning semester.  All applicants must take the GRE, and
the Advanced Computer Science Test.  Foreign applicants must also take
the TOEFL.

Graduate teaching and research assistantships carry monthly stipends
and tuition payment for the academic year; half-time duties are required.
Smaller University fellowships are available with no attendant duties.
All support is awarded competitively; however, many students who seek
support do receive aid.  Some summer support is available.


-----
Colorado State University is an equal opportunity/affirmative action
institution and complies with all federal and Colorado state laws,
regulations, and executive orders regarding affirmative action
requirements in all programs.  The Office of Equal Opportunity is
located in Room 314, Student Services Building.  In order to assist
Colorado State University in meeting its affirmative action
responsibilities, ethnic minorities, women, and other protected class
members are encouraged to apply and to so identify themselves.

-- 
james lee peterson				peterson@CS.ColoState.edu
dept. of computer science                       
colorado state university		"Some ignorance is invincible."
ft. collins, colorado  (voice:303/491-7137; fax:303/491-6639)