Course information provided by the 2025-2026 Catalog.
This is an advanced course in the application of analytical methodologies and tools to the analysis and optimization of complex systems. On completion of this course, students should be able to use probability and statistics as a modeling and analysis tool for systems exhibiting uncertainty; be able to use algorithms and dynamic programming to model and optimize systems with a recursive structure; be able to use optimization tools to optimize complex systems and tune parameters.
Prerequisites ENGRD 2700, calculus skills, and familiarity with basic programming in a language such as python, C++, java, matlab, etc.
Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials
required, for this section. Additional information may be found on the syllabus provided by your professor.
For the most current information about textbooks, including the timing and options for purchase, see the
Cornell Store.
Additional Information
Instruction Mode: In Person
Enrollment limited to: System Engineering on-campus students.
Syllabi:
none
Regular Academic Session.
Credits and Grading Basis
3 Credits
Graded(Letter grades only)
Class Number & Section Details
5091SYSEN 5200 LEC 002
Meeting Pattern
Jan 20 - May 5, 2026
Instructors
Yu, C
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials
required, for this section. Additional information may be found on the syllabus provided by your professor.
For the most current information about textbooks, including the timing and options for purchase, see the
Cornell Store.
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Enrollment limited to: distance learning students.
