Ph.D. Tracks

The general examination credits entails three courses that are taken in the first year of study for both Tracks 1 and 2.

Operations Research (Track 1)

  • ESI 6325 – Applied Probability Methods in Engineering (3 credits – only offered in Fall)
  • ESI 6417 – Linear Programming and Network Optimization (3 credits)
  • ESI 6546 – Stochastic Modeling and Analysis (3 credits)

Human Systems (Track 2)

  • ESI 6325 – Applied Probability Methods in Engineering (3 credits – only offered in Fall)
  • EIN 6905 – Occupational Safety Engineering (3 credits)
  • EIN 6905 – Human Systems Engineering and Design (3 credits)

Beyond these three required classes, students are free to choose the technical classes that will prepare them best for their research. Students should discuss their course selection with their Ph.D. advisor. Keep in mind that you are working towards a quantitative engineering degree, and classes on your transcript should reflect this. The graduate committee reserves the right to not count certain classes as “technical electives: if they do qualify as such.

Recommended courses include:

  • EIN 6357 – Advanced Engineering Economy
  • ESI 6529 – Digital Simulation Techniques (Ph.D. level section)*
  • COP 5536 Advanced Data Structures (or COP 3530 for those without a good computing background)
  • COT 5405 – Analysis of Algorithms
  • MAC 5228 – Modern Analysis I
  • MAP 6208 – Numerical Optimization

Graduate Seminar, EIN 6918 (01 credit)

All Ph.D. students are required to register for 02 credits in their first two years.