返回到 Calculus through Data & Modeling: Applying Differentiation
Johns Hopkins University

Calculus through Data & Modeling: Applying Differentiation

As rates of change, derivatives give us information about the shape of a graph. In this course, we will apply the derivative to find linear approximations for single-variable and multi-variable functions. This gives us a straightforward way to estimate functions that may be complicated or difficult to evaluate. We will also use the derivative to locate the maximum and minimum values of a function. These optimization techniques are important for all fields, including the natural sciences and data analysis. The topics in this course lend themselves to many real-world applications, such as machine learning, minimizing costs or maximizing profits.

状态:Mathematical Modeling
状态:Model Optimization
中级课程小时

精选评论

TP

5.0评论日期:Oct 12, 2025

great journey of real understanding and application based learning

WD

4.0评论日期:Jan 3, 2023

Excellent though difficult introduction to using differentiation for modeling.

DP

5.0评论日期:Apr 26, 2022

Excellent course, very challenging and therefore rewarding when you get the answers right. The feedback is great for self-correction when you go wrong.

LS

5.0评论日期:Dec 24, 2021

Excellent presentation overall with very good explanations and worked examples.

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