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.
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- Level Professional
- Course by Johns Hopkins University
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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.Auto Summary
"Integral Calculus through Data and Modeling" is an advanced course designed for professionals in the IT and Computer Science domains. This specialization dives deep into integral calculus, building on foundational concepts from single and multivariable differentiable calculus. The course uniquely focuses on applying calculus to solve real-world problems in the natural and social sciences. Under the expert guidance of Coursera instructors, learners will master techniques to process, analyze, and interpret data, and communicate insightful results using scientific computing and mathematical modeling. Key topics covered include data modeling through functions, differential and integral calculus of single and multiple variables, differential equations, and advanced optimization and estimation techniques. The course is available through Coursera with flexible subscription options, including Starter and Professional plans, making it accessible for continuous learning. This professional-level course is ideal for those looking to enhance their analytical and mathematical modeling skills to tackle complex data-driven challenges in their respective fields.
Joseph W. Cutrone, PhD