Evaluate numeric expressions to compute values related to linear eqns. Construct a QR decomposition of a matrix & use it to solve linear systems of eqns. Use linear algebra & linear maps to solve and study issues in graphics & finance. Introduction to Quantitative Thought
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What you'll learn:
A solid grip on math topics likely useful to college students in stem and tech studies: maps, equations, derivatives and integrals. A simple grasp of the these physics areas: mechanics, electricity & magnetism, and wave. Confidence when using a academic methods for study of math & physics. The skill to apply know-how to many engineering settings.
Calc lessons
Prepare for basic algebra classes by reviewing basics, derivatives, integrals and geometry spatial. Learn the numeric and computing basics to apply Mastery of various models and key ideas guiding solving techniques. Learn to code and solve optimization tasks via the hands-on drills.
Mathematical thought is not the same as solving math –at least not how math is usually taught in our schools The secret to passing math is to learn to think within limits. In contrast, a main trait of math thought is reflection thinking beyond norms –a key skill in today’s era. This class aims to develop this vital mode of thought.
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