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Calculus through Data & Modeling: Techniques of Integration
Coursera
Course
Unknown

Calculus through Data & Modeling: Techniques of Integration

Johns Hopkins University

This course expands integral concepts to multivariable functions, covering integration over regions and approximation techniques with practical projects.

Unknown4 weeksEnglish3,200 enrolled

About this Course

In this course, we build on previously defined notions of the integral of a single-variable function over an interval. Now, we will extend our understanding of integrals to work with functions of more than one variable. First, we will learn how to integrate a real-valued multivariable function over different regions in the plane. Then, we will introduce vector functions, which assigns a point to a vector. This will prepare us for our final course in the specialization on vector calculus. Finally, we will introduce techniques to approximate definite integrals when working with discrete data and through a peer reviewed project on, apply these techniques real world problems

What You'll Learn

  • Expand understanding of integration to multivariable functions
  • Learn integration over different plane regions
  • Explore vector functions and their applications
  • Apply approximation techniques for discrete data integrals
  • Implement integration techniques in real-world projects

Prerequisites

  • Basic familiarity with the topic and its common terminology
  • Readiness to practice through applied exercises or case-based work

Instructors

J

Joseph W. Cutrone, PhD

Associate Teaching Professor and Director of Online Programs

Topics

Math and Logic
Data Analysis
Data Science
Geometry
Advanced Mathematics
Calculus
Probability
Integral Calculus
Applied Mathematics
Mathematical Modeling

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الرياضيات والمنطق
تحليل البيانات
علوم البيانات
الهندسة
الرياضيات المتقدمة
حساب التفاضل والتكامل
الاحتمالات
حساب التكامل
Applied Mathematics
Mathematical Modeling

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