From: hirtle+@pitt.edu (Stephen C Hirtle)
Newsgroups: soc.college.gradinfo
Subject: Info Science at Pitt
Date: 7 Jan 93 02:33:01 GMT
Followup-To: soc.college
Organization: University of Pittsburgh
Originator: hirtle@unixd3.cis.pitt.edu

University of Pittsburgh 
Department of Information Science

      Information science at the University of Pittsburgh
is the study of computer technologies, various engineering 
techniques, and scientific principles combined with 
the concepts of human cognition in order to design,
implement, and manage information systems. The discipline
includes technical components such as computer programming,
system design, telecommunications, database management systems,
and microcomputers, as well as cognitive components such as
human factors in system design, human information processing, and
interactive system design.  Major research foci include the
visualization of data, cognitive modelling, and information
retrieval.

      The Department of Information Science at Pitt offers three
graduate programs -- the Master of Science in Information Science
(MSIS), the Certificate of Advanced Study (CAS), and the PhD. It
also co-sponsors the Master of Science in Telecommunications
(MST) program.  Courses are offered both day and evening for the
convenience of full- and part-time students.

      The MSIS is a 36-credit program which can be completed in
one year of full-time or two years of part-time study. 
Several specific course sequences or tracks have been
developed for students with specific interests, such as the
System Specialist Track, System Designer Track, and Artificial
Intelligence Track.

      The 24-credit CAS program provides a structured,
personalized program of studies beyond the masters degree.
Designed for people who do not wish to pursue the PhD degree, it
allows students to explore a special field of interest or to
update skills and competencies.

      Students in the PhD program will pursue the development of 
superior scholarship, mastery of a specialized field
of knowledge, and the ability to do significant and relevant
research. A detailed description of the PhD program is available
upon request.

What Equipment Is Available to Students?
	Students have access to six department computing laboratories
housed in the same building where classes are taught.  Equipment
includes a variety of workstations (Sun, Dec, and Silicon Graphics) 
and microcomputers (IBM PCs, compatibles, and Macintoshes),
all networked to within the department to a Sun IV Server. 
Three labs contain equipment for the telecommunications program
including a full array of test equipment, multiple networks, and
a private telephone switch.
      University computer facilities include a VAX cluster running 
both Ultrix and VMS. The cluster include a VAX 9000, VAX 6250, 
VAX 8820, VAX 8800, a VAX 9000/210 Vector Processor.  A number 
of VAX 5000's have been added to the network in specialized 
server roles in support of AFS.  The multiple private and public 
university ethernets are linked by an FDDI backbone which includes 
such specialize resources as a Cray Y-MP supercomputer, a connection 
machine, a graphics and CAD laboratory, and nine microcomputer 
laboratories located in other campus buildings.


Who Should Apply?
      Applicants for graduate study must have earned a
baccalaureate degree from an accredited college or university
with a scholastic average of B (3.0 on a 4.0 scale) or better.
The Department of Information Science seeks students with
diverse interests and abilities. Some successful students have
entered the program with a background in mathematics,
engineering, or computer science; many other outstanding students
entered with undergraduate degrees in music, history, business,
philosophy, or chemistry.
      Prerequisites for admission to the MSIS program include one
three-credit college course in each of the following four areas:
A scientific or business computer language (Pascal, C, COBOL, or FORTRAN),
Statistics, Mathematics, and Cognitive psychology.
Students who lack some of the prerequisite courses may be
admitted provisionally pending completion of the prerequisites
during the first term of study.
      Admissions policies support the University's goal of
affirmative action. The Department of Information Science actively
encourages applications from women and members of racial and
ethnic minority groups.

To request an application, contact: 
      Admissions Coordinator                Email: strauss@lis.pitt.edu
      University of Pittsburgh              Voice: (412) 624-5146
      Information Science Programs          Fax:   (412) 624-5231
      505 SLIS Building
      Pittsburgh, PA  15260

Questions about the program may be addressed to:
      Dr. Stephen Hirtle, Department Chair
         at the address above 
      Email: sch@lis.pitt.edu
      Voice: (412) 624-9402
      Fax:   (412) 624-5231


FACULTY RESEARCH INTERESTS 

Toni Carbo Bearman, Dean and Professor (624-5139) bearman@lis.pitt.edu
National and international information policies; use of information for 
decision and policy making; education for the information professions.

Ida Flynn, Lecturer (624-9425) ida@lis.pitt.edu
Information science; computer science; mathematics; education;
information retrieval systems for young users; multimedia systems.

Roger Flynn, Associate Professor (624-9428)  flynn@lis.pitt.edu
Education for library and information science; database management systems; 
knowledge representation and inference systems; artificial intelligence.

Stephen Hirtle, Chair & Associate Professor (624-9434)  sch@lis.pitt.edu
Cognitive science; mathematical models; mental representations; spatial 
memory; problem solving; research design; geographic information systems.

Robert Korfhage, Professor (624-9420)  korfhage@lis.pitt.edu
Information storage and retrieval; natural languages; artificial
intelligence; data structures; storage requirements; database
machines; hypergraphs; information networks; CAI.

Michael Lewis, Assistant Professor (624-9426)  ml@lis.pitt.edu
Operator modeling in human-machine systems; ecological models of
visualization; virtual realities.

Dirk Mahling, Visiting Assistant Professor (624-5143) mahling@lis.pitt.edu
Computer-supported cooperative work, human computer interaction,
visual languages

Douglas Metzler, Associate Professor (624-9414)  metzler@lis.pitt.edu
Artificial intelligence; cognitive science; knowledge representation; 
natural language processing; expert systems; cognitive modeling;
intelligent tutoring systems; research methods & statistics.

K. Leon Montgomery, Professor (624-9432)  klm@lis.pitt.edu
Telecommunications networks systems and services; information systems 
analysis, design and evaluation; personal information systems; information 
technology; education for information professionals.

Paul Munro, Associate Professor (624-9427)  munro@lis.pitt.edu
Connectionist systems; neural information processing; image processing; 
modeling and simulation; cognitive science; models of learning.

Donald Shirey, Associate Chair, Associate Professor (624-9417)  
shirey@lis.pitt.edu
Statistical analysis of data; research design; research methods;
foundations of information science.

Kenneth Sochats, Lecturer (624-9416)  sochats@lis.pitt.edu
Information networks; simulation; data bases; artificial intelligence; 
Management Information Systems (MIS); systems analysis and design; 
software engineering; network design; microcomputer applications; graphics.

Michael B. Spring, Assistant Professor (624-9429)  spring@lis.pitt.edu
Interactive system design; interface design; document processing;
office automation; information technology standards and standardization.

Richard A. Thompson, Professor (624-9423)  rat@lis.pitt.edu
Communications switching systems, especially photonic switching;
terminals, user services, and the human interface; fault
tolerance and cellular automata; probabilistic formal languages.

Martin Weiss, Assistant Professor (624-9430)  mbw@lis.pitt.edu
Network management and control; capacity management and planning; standards 
and standardization; transmission systems; telecommunications policy.

James G. Williams, Professor (624-9418)  jim@lis.pitt.edu
Automation; data processing; information science; information systems; 
networks; systems analysis and design; software engineering; simulation.

Taieb Znati, Assistant Professor (624-9407)  znati@lis.pitt.edu
Distributed real time systems; performance evaluations; local area networks 
(with emphasis on the design and analysis of network protocols, reliability, 
heterogeneity and efficiency) computer science; telecommunications.

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