Award Abstract # 9352948
Computer Graphics/Modeling and Expert Systems

NSF Org: DRL
Division of Research on Learning in Formal and Informal Settings (DRL)
Recipient: UNIVERSITY OF UTAH
Initial Amendment Date: March 2, 1994
Latest Amendment Date: March 25, 1997
Award Number: 9352948
Award Instrument: Continuing Grant
Program Manager: Judd Freeman
DRL
 Division of Research on Learning in Formal and Informal Settings (DRL)
EDU
 Directorate for STEM Education
Start Date: March 1, 1994
End Date: July 31, 1997 (Estimated)
Total Intended Award Amount: $118,121.00
Total Awarded Amount to Date: $118,121.00
Funds Obligated to Date: FY 1994 = $57,116.00
FY 1995 = $61,005.00
History of Investigator:
  • Elaine Cohen (Principal Investigator)
    cohen@cs.utah.edu
  • David Hanscom (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Utah
201 PRESIDENTS CIR
SALT LAKE CITY
UT  US  84112-9049
(801)581-6903
Sponsor Congressional District: 01
Primary Place of Performance: University of Utah
201 PRESIDENTS CIR
SALT LAKE CITY
UT  US  84112-9049
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): LL8GLEVH6MG3
Parent UEI:
NSF Program(s): YOUNG SCHOLARS PROGRAM
Primary Program Source: app-0494 
app-0495 
Program Reference Code(s): 9177, SMET
Program Element Code(s): 710000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

9352948 Cohen The University of Utah will conduct a 5-week, commuter, Young Scholars project in computer science for 40 students entering grades 11 and 12. Participants will study computer graphics/ modeling and expert systems. Nationally known research scientists will interact with students in both classroom and laboratory settings. Participants will learn to use high performance engineering work stations and will develop expert system tools and graphical models. They will also study two and three dimensional techniques, LISP and rule based programming. They will then develop an expert system to control an automatic robot vehicle. Field trips to robotics and computer aided manufacturing research labs as well as to local computer companies will allow participants to see how these concepts are used in the workplace. Follow up activities include individual research investigations, presentations at high schools and additional visits to the university's Center for Computer Graphics and Scientific Visualization. ***

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