Nonlinear Optimization
McGill University · QC · MATH378
Nonlinear Optimization is a subject at McGill University, QC in MATH. It covers topics like linear-algebra, machine-learning, mathematical-economics, operations-management. It is part of 12 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
MATH378
3.00
MATH
Topics covered
Degrees that include Nonlinear Optimization
- Mathematics and Computer Science Major (B.Sc.) (72 credits)
- Mathematics Concentration (Supplementary Minor) (18 credits)
- Mathematics Honours (B.Sc.) (63 credits)
- Mathematics Liberal Program - Core Science Component (B.Sc.) (45 credits)
- Mathematics Major (B.Sc.) (54 credits)
- Mathematics Major Concentration (B.A. & Sc.) (46 credits)
- Mathematics Minor (B.Eng.) (18 credits)
- Statistics Concentration (Supplementary Minor) (18 credits)
- Statistics Honours (B.A.) (63 credits)
- Statistics Honours (B.Sc.) (63 credits)
- Statistics Liberal Program - Core Science Component (B.Sc.) (48 credits)
- Statistics Major (B.Sc.) (54 credits)
Frequently asked questions
What is Nonlinear Optimization about?
Nonlinear Optimization covers topics like linear-algebra, machine-learning, mathematical-economics, operations-management.
Which degrees include Nonlinear Optimization?
Nonlinear Optimization is part of 12 degrees, including Mathematics and Computer Science Major (B.Sc.) (72 credits), Mathematics Concentration (Supplementary Minor) (18 credits), Mathematics Honours (B.Sc.) (63 credits), Mathematics Liberal Program - Core Science Component (B.Sc.) (45 credits), Mathematics Major (B.Sc.) (54 credits).
How many credit points is Nonlinear Optimization?
Nonlinear Optimization at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Nonlinear Optimization taught?
Nonlinear Optimization is taught at McGill University, QC.
Studying Nonlinear Optimization?
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Sources: McGill University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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