Purpose: This is a one-day event for upperclass undergraduates in the Mountain West region who are interested in a graduate degree to have a chance to visit the University of Utah and learn about the Computer Science graduate program.


Date: Friday, November 2, 2012

Planned Activities:

  • Hear about exciting research opportunities from Utah faculty
  • Learn about graduate school life from current graduate students
  • Get pointers on how to build a successful application to graduate school
  • See posters and live demos of research by current graduate students

How to Participate: Students interested in attending should send an email to Tom Fletcher fletcher@cs.utah.eduwith the subject line "Utah CS Open House" by Friday, October 26. Please include the following information:

  1. What school are you currently attending, and when do you plan to graduate?
  2. Why are you interested in graduate school? (just a few sentences is ok)
  3. Optional: attach a current resume.

Note: We will accommodate as many students as space allows, but we will give priority to students who include a strong resume.

About the Utah CS Program: The University of Utah has a long and distinguished record of high-impact research in Computer Science. This started with pioneering work in computer graphics, computer architecture, and digital audio, plus being the fourth node on the ARPAnet, the predecessor of today's Internet. Current work includes both classical computer science research, as well as research on the boundary between computer science and application areas, such as the traditional sciences, engineering, and medicine. Our main areas of active research include:

  • Algorithms and Computational Geometry
  • Databases and Information Management
  • Educational Software
  • Formal Methods including verification tools, Logic, Theorem Proving and Industrial Applications
  • Graphics
  • Visualization
  • Image Processing
  • Hardware systems including Architecture and VLSI
  • Machine Learning and Natural Language Processing
  • Scientific Computing, Parallel Computing, Computational Science Applications and Software Architecture
  • Operating Systems, Embedded Systems and Networking
  • Programming Languages and Compilers
  • Robotics