Introduction to Optimization Theory
University of Pennsylvania · PA · ESE5060
Introduction to Optimization Theory is a subject at University of Pennsylvania, PA. It covers topics like computational-mathematics, learning-theory, mathematical-economics, quantitative-economics. It is part of 10 degrees. The information below is compiled from public course material — approximate, not official.
University of Pennsylvania
ESE5060
3.00
Topics covered
Degrees that include Introduction to Optimization Theory
- Artificial Intelligence, BSE
- Business Analytics, BS
- Data Science and Artificial Intelligence, MSE
- Electrical Engineering, BSE
- Electrical Engineering, MSE
- Energy and Sustainability Engineering, MSE
- Mathematical Economics, BA
- Mechanical Engineering & Applied Mechanics, MSE
- Scientific Computing, MSE
- Systems Engineering, MSE
Frequently asked questions
What is Introduction to Optimization Theory about?
Introduction to Optimization Theory covers topics like computational-mathematics, learning-theory, mathematical-economics, quantitative-economics.
Which degrees include Introduction to Optimization Theory?
Introduction to Optimization Theory is part of 10 degrees, including Artificial Intelligence, BSE, Business Analytics, BS, Data Science and Artificial Intelligence, MSE, Electrical Engineering, BSE, Electrical Engineering, MSE.
How many credit points is Introduction to Optimization Theory?
Introduction to Optimization Theory at University of Pennsylvania is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Introduction to Optimization Theory taught?
Introduction to Optimization Theory is taught at University of Pennsylvania, PA.
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Sources: University of Pennsylvania public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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