Description
The course may cover optimization in the context of engineering design, economics, and other relevant fields. Practical problem-solving is emphasized, often utilizing tools like MATLAB or Python to reinforce computational skills. The goal is to equip engineering graduate students with the ability to analyze and optimize complex systems, preparing them for the mathematical challenges in advanced engineering coursework and professional practice.
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