Linear Optimization
McGill University ยท QC ยท MATH417
Linear Optimization is a subject at McGill University, QC in MATH. It covers topics like linear-algebra, logistics, mathematical-economics, operations-management. It is part of 11 degrees. The information below is compiled from public course material โ approximate, not official.
McGill University
MATH417
3.00
MATH
Topics covered
Degrees that include Linear Optimization
- Mathematics and Computer Science Major (B.Sc.) (72 credits)
- Mathematics Concentration (Supplementary Minor) (18 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)
- Mathematics Minor Concentration (B.A. & Sc.) (18 credits)
- Secondary Mathematics (B.Ed.) (120 credits)
- Statistics Concentration (Supplementary Minor) (18 credits)
- Statistics Liberal Program - Core Science Component (B.Sc.) (48 credits)
- Statistics Major (B.Sc.) (54 credits)
Frequently asked questions
What is Linear Optimization about?
Linear Optimization covers topics like linear-algebra, logistics, mathematical-economics, operations-management.
Which degrees include Linear Optimization?
Linear Optimization is part of 11 degrees, including Mathematics and Computer Science Major (B.Sc.) (72 credits), Mathematics Concentration (Supplementary Minor) (18 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).
How many credit points is Linear Optimization?
Linear Optimization at McGill University is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Linear Optimization taught?
Linear Optimization is taught at McGill University, QC.
Studying Linear Optimization?
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Sources: McGill University public course catalogue. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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