Performance Indicators (PI)
  • 3.1 Demonstrate advanced knowledge and skills in software development, system infrastructure, and/or application of computing theory and practice in interdisciplinary areas.
  • 3.2 Develop new computing algorithms, theory, or systems in graduate thesis, project, or dissertation.
Assessment
PI Artifacts Ratings
3.1 Comprehensive Exam Unsatisfactory (1), Needs Improvement (2),
Meets Expectations (3), Exceeds Expectations (4)
3.2 Thesis
All Student Outcome Survey of students, faculty, alumni, and IAB members

Surveys are conducted once every two academic year in spring semester.

The Comprehensive Exam score is normalized to a scale of 1-4 as follows:

  • Exceeds Expectations: 90 or above
  • Meets Expectations: 70-90
  • Needs Improvement: 50-70
  • Unsatisfactory: below 50