Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.
(953 avis)
Compétences que vous acquerrez
- Catégorie : Differential Calculus
- Catégorie : Differential (Mathematics)
- Catégorie : Derivative
- Catégorie : Newton'S Method
- Catégorie : Linear Approximation
Détails à connaître
16 devoirs
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Il y a 3 modules dans ce cours
Think derivatives mean "slopes"? Not anymore... In this module, we will reconsider what a derivative is and means in terms of the asymptotic (or big-O) notation from the previous chapter. This will give us a new language for describing and understanding rates of change and the rules that govern them.
Inclus
3 vidéos2 lectures5 devoirs
Why exactly are derivatives so central to calculus? In part, it is because they are so ubiquitously useful! In this module, we will recall a few core applications of derivatives. In so doing, we'll see exactly how having an understanding of the asymptotics assists in building applications of the derivative.
Inclus
5 vidéos6 devoirs
There is much more to derivatives than simply their computation and applications. So much of how they arise is calculus is in the mysterious guise of *differentials*. These arise from implicit differentiation, which in turn reveals a deeper level of understanding of what differentiation means.
Inclus
3 vidéos1 lecture5 devoirs
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Math and Logic
Ludwig-Maximilians-Universität München (LMU)
University of Colorado Boulder
Columbia University
EIT Digital
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