SYSEN 5300

SYSEN 5300

Course information provided by the Courses of Study 2022-2023.

Develops skills in the design, operation and control of systems for reliable performance. Focuses on four key themes; risk analysis (with a particular emphasis on risk assessment and risk characterization), modeling system reliability (including the development of statistical models based on accelerated life testing), quality control techniques and the optimization of system design for reliability. Six Sigma Green or Blackbelt can be earned through activities associated with course. Students in distance-learning programs enroll in SYSEN 5100.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: ENGRD 2700 or CEE 3040, SYSEN 5100, or permission of instructor.

Satisfies Requirement Satisfies modeling and analysis elective requirement.

Comments To take course, enroll for three credits. Extra project work is required to earn the Six Sigma Black Belt certification. Enroll for four credits to undertake the extra project work and earn Black Belt certification. Lectures are identical for all versions.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: MAE 5930SYSEN 6300

  • 3-4 Credits Stdnt Opt

  •  9630 SYSEN 5300   LEC 001

  • Instruction Mode: In Person
    To request a PIN, contact the department at mk594@cornell.edu.

  • 17977 SYSEN 5300   DIS 201

    • TBA
    • Aug 22 - Dec 5, 2022
    • Tayarani, M

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 3-4 Credits Stdnt Opt

  •  9721 SYSEN 5300   LEC 002

    • TBA
    • Aug 22 - Dec 5, 2022
    • Tayarani, M

  • Instruction Mode: Distance Learning-Asynchronous
    Enrollment limited to: Systems Engineering distance learning (off-campus) students only. Students on campus should enroll in SYSEN 5300 LEC 001.

  • 17978 SYSEN 5300   DIS 202

    • F TBA
    • Aug 22 - Dec 5, 2022
    • Tayarani, M

  • Instruction Mode: Distance Learning-Asynchronous