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Qualifying Exam Requirements

The Industrial & Systems Engineering Ph.D. Qualifying Exam is offered once per year, in spring quarter. The Qualifying Exam must be taken no later than the second time it is offered while in residence. A Ph.D. student is allowed to take the qualifying exam at most twice. Students planning on taking the Qualifying Exam must register with the ISE student advising office in February. The Qualifying Exam is administered as a take-home test over several days in spring quarter, followed by an oral examination. Specific details will be announced through the ISE student advising office. The exam is open book and notes.

Course requirements

  1. Complete four core courses (IND E 508, 513, 524, 549) and three seminar courses (IND E 591, 592, 593)
    1. IND E 508: Stochastic Processes in Engineering (3)
    2. IND E 513: Linear Optimization Models (3)
    3. IND E 524: Robust Design & Quality Engineering (3)
    4. IND E 549: Human Factors in Engineering Design (3)
    5. IND E 591 Seminar- Autumn (1)
    6. IND E 592 Seminar- Winter (1)
    7. IND E 593 Seminar- Spring (1)
  2. Complete two non-core courses from a selection list (GPC and graduate committee will discuss the list and maintain the list)
    1. IND E 535 Engineering Simulation (3)
    2. IND E 599 Subject varies by quarter (Ex: Integer Programming, AI/ML for Smart Manufacturing, etc.) (3)
    3. IND E 521 Statistical Quality Engineering (3)
    4. IND E 526 Reliability in Product Design and Testing (3)
    5. IND E 528 Predictive Analytics for Systems Engineers (3)
    6. IND E 519 Healthcare Modeling and Decision Making (3)
    7. IND E 548 Human Performance Modeling (3)

Exam format

The qualifying exam will include a one-week take-home written examination followed by an oral exam. The oral exam is administered by an ISE faculty sub-committee. The written test is open book, notes, and other reference materials. Students will be allowed to refer only to their solutions to the written exam during the oral exam. On the written exam, students will be required to answer one question each from Sections A, B, and C below.

Section A

  • Courses that cover relevant topics include:
  • IND E 508: Stochastic Processes in Engineering
  • IND E 513: Linear Optimization Models
  • IND E 535: Engineering Simulation
  • IND E 599: Integer Programming

Section B

  • Courses that cover relevant topics include:
  • IND E 521: Quality Control in Manufacturing
  • IND E 524: Robust Design & Quality Engineering
  • IND E 526: Reliability in Product Design & Testing
  • IND E 528  Predictive Analytics for Systems Engineers

Section C

  • Courses that cover relevant topics include:
  • IND E 519: Healthcare Modeling and Decision Making
  • IND E 543: Virtual Interface Technology
  • IND E 548: Human Performance Modeling
  • IND E 549: Human Factors in Engineering Design
  • IND E 570: Supply Chain Systems