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A solid grasp of the math topics most pertinent for undergrad students in science and tech studies: functions, formulas, derivatives and integrals. A basic grasp of these physics topics topics: mechanics, circuits and magnetism, and sound. Confidence using a more scholarly method to studying math and physics. The skill to apply these ideas to multiple engineering settings.
Prepare for beginning calculus classes using revising functions, equations, derivatives, integrals and analytic geometry. Learn core math and computational concepts for using optimization effectively. Learn the various formulations and key concepts underlying solution methods. Learn to code and solve optimization tasks via the hands-on exercises.
Mathematical thought is not identical to doing mathematics — not exactly how math is generally shown in schools. The key to doing well in school math is practice think inside-the-box. In contrast, a key feature of mathematical thought is thinking beyond-the- box — a useful skill today. This class aids in building that vital kind of reason.
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Estimate math expressions to calculate values related to linear systems. Build an LU factorization for a matrix and use it to solve linear equations. Apply matrix algebra and linear maps to solve and study problems in computing graphics and finance. Intro to Mathematical Reasoning
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