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Assess algebraic expressions to get values tied to linear models. Build a QR decomposition of a matrix and use it to solve linear systems of equations. Use matrix algebra and linear maps to solve and study problems in computer graphics and finance. Introduction to Applied Thought
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Ace Math
Mathematical ideas are not the equal to doing math –in least, nor how math is usually shown in high school setup. The way to pass school math is to learn to think within limits. In contrast, a key feature of mathematical thinking is creative outside-the-box –a useful skill nowadays. This class helps to build that vital mode of thinking.
Get ready for basic analysis classes by revising maps, equations, derivatives, integrals and plane geometry. Discover the numerical and computational basics for using optimization reliably. Learn the varied models and the key ideas behind each solving methods. Train to build and solve optimization tasks via hands-on exercises.
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What you'll learn:
A solid grip on key math topics most useful for college students in STEM fields: functions, equations, derivatives and integrals. A basic grasp of these physics topics: motion, circuits and magnetism, waves. Confidence using a more scholarly approach to studying math and physics. The skill to use this knowledge across engineering settings.
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