This course continues your study of calculus by focusing on the applications of integration to vector valued functions, or vector fields. These are functions that assign vectors to points in space, allowing us to develop advanced theories to then apply to real-world problems. We define line integrals, which can be used to fund the work done by a vector field. We culminate this course with Green's Theorem, which describes the relationship between certain kinds of line integrals on closed paths and double integrals. In the discrete case, this theorem is called the Shoelace Theorem and allows us to measure the areas of polygons. We use this version of the theorem to develop more tools of data analysis through a peer reviewed project.
Ce cours fait partie de la Spécialisation Integral Calculus through Data and Modeling
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Spécialisation Integral Calculus through Data and ModelingUniversité Johns-HopkinsÀ propos de ce cours
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Cours 4 sur 4 dans le
Niveau intermédiaire
Working knowledge of differentiable calculus and some integral calculus of a single variable function.
Approx. 5Â heures pour terminer
Anglais
Sous-titres : Anglais
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 4 sur 4 dans le
Niveau intermédiaire
Working knowledge of differentiable calculus and some integral calculus of a single variable function.
Approx. 5Â heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Université Johns-Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programme de cours : ce que vous apprendrez dans ce cours
1Â heure pour terminer
Module 1: Vector Fields and Line Integrals
In this module, we define the notion of a Vector Field, which is a function that applies a vector to a given point. We then develop the notion of integration of these new functions along general curves in the plane and in space. Line integrals were developed in the early19th century initially to solve problems involving fluid flow, forces, electricity, and magnetism. Today they remain at the core of advanced mathematical theory and vector calculus.
1Â heure pour terminer
2 vidéos (Total 40 min), 2 lectures, 1 quiz
1Â heure pour terminer
Module 2: The Fundamental Theorem for Line Integrals
In this module, we introduce the notion of a Conservative Vector Field. In vector calculus, a conservative vector field is a vector field that is the gradient of some function f, called the potential function. Conservative vector fields have the property that the line integral is path independent, which means the choice of any path between two points does not change the value of the line integral.
1Â heure pour terminer
1 vidéo (Total 20 min), 2 lectures, 1 quiz
2Â heures pour terminer
Module 3: Green's Theorem
In this module we state and apply a main tool of vector calculus: Green's Theorem. Green's theorem gives a relationship between the line integral of a two-dimensional vector field over a closed path in the plane and the double integral over the region it encloses. The fact that the integral of a two-dimensional conservative field over a closed path is zero is a special case of Green's theorem.
2Â heures pour terminer
1 vidéo (Total 23 min), 1 lecture, 2 quiz
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Meilleurs avis pour CALCULUS THROUGH DATA & MODELLING: VECTOR CALCULUS
par TH1 avr. 2022
This is an excellent course to learn advanced calculus. Very well taught!
À propos du Spécialisation Integral Calculus through Data and Modeling
This specialization builds on topics introduced in single and multivariable differentiable calculus to develop the theory and applications of integral calculus. , The focus on the specialization is to using calculus to address questions in the natural and social sciences. Students will learn to use the techniques presented in this class to process, analyze, and interpret data, and to communicate meaningful results, using scientific computing and mathematical modeling. Topics include functions as models of data, differential and integral calculus of functions of one and several variables, differential equations, and optimization and estimation techniques.
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