Deterministic OR Models
University of Waterloo ยท ON ยท CO370
Deterministic OR Models is a subject at University of Waterloo, ON in CO. It covers topics like modelling, probability, risk-modelling, stochastic-processes. It is part of 9 degrees. The information below is compiled from public course material โ approximate, not official.
University of Waterloo
CO370
3.00
CO
Topics covered
Degrees that include Deterministic OR Models
- Business Administration and Mathematics Double Degree (Bachelor of Business Administration and Bachelor of Mathematics - Honours)
- Business Specialization
- Combinatorics and Optimization Minor
- Computational Mathematics (Bachelor of Mathematics - Honours)
- Computational Mathematics Minor
- Data Science (Bachelor of Mathematics - Honours)
- Mathematical Optimization - Business Specialization (Bachelor of Mathematics - Honours)
- Mathematical Optimization - Operations Research Specialization (Bachelor of Mathematics - Honours)
- Mathematics/Business Administration (Bachelor of Mathematics - Honours)
Frequently asked questions
What is Deterministic OR Models about?
Deterministic OR Models covers topics like modelling, probability, risk-modelling, stochastic-processes.
Which degrees include Deterministic OR Models?
Deterministic OR Models is part of 9 degrees, including Business Administration and Mathematics Double Degree (Bachelor of Business Administration and Bachelor of Mathematics - Honours), Business Specialization, Combinatorics and Optimization Minor, Computational Mathematics (Bachelor of Mathematics - Honours), Computational Mathematics Minor.
How many credit points is Deterministic OR Models?
Deterministic OR Models at University of Waterloo is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Deterministic OR Models taught?
Deterministic OR Models is taught at University of Waterloo, ON.
Studying Deterministic OR Models?
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Sources: University of Waterloo 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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