
Explore linear approximation using tangent lines to estimate function values, with L(x)=f(a)+f'(a)(x−a); relate changes in x to changes in y, including radius, volume, and area examples.
Apply linear approximation with tangent lines using f(a) and f'(a) to form L(x) = f(a) + f'(a)(x-a). Explore how derivatives estimate changes in volume and area for shapes.
Learn how to find local and global maxima and minima by locating critical points, applying the first and second derivative tests, and considering endpoints within intervals.
Use derivatives to locate maxima and minima: maximize rectangle area with a 200 perimeter and compare to circle area, minimize cylinder surface area for volume 16, and maximize building volume.
Explore parabolas, ellipses, and hyperbolas through equations, centers, and axes; apply to graphs of circles and ellipses with focus points, and real-world problems like projectile height.
Derive ellipse and circle equations and apply hyperbola parameters to real-world navigation problems, calculating coordinates and focus-based distances for a bridge, lighthouse, and ship scenario.
Explore the mean value theorem for continuous and differentiable functions, proving a point where f'(c) equals the secant slope between a and b, with ball height and car speed examples.
Use the mean value theorem on y = -3x^2 + 1 and y = x, determine a and b from 3x^2+2x-1=0 (a=-1, b=1/3), then f'(c) yields slope m=2.
Learn l'hôpital's rule for indeterminate limits such as 0/0 and inf/inf, using derivatives to compute limits. The lecture shows first and higher-order derivatives yielding results like 1 and 2.
Apply l'hôpital's rule to resolve 0/0 limits in the velocity ratio, differentiate to compare rates of change, and conclude car a's speed is almost double car b's.
Hello,
Welcome to Calculus: Applications of Derivatives course. Many of us has already learned what are derivatives through either college lectures or through self learning. But what was really important is how could we apply the knowledge we have gained through learning to other applications including studying motions of bodies, predicting fluctuations of stock markets, finding at which speed you're driving, checking temperature variations, calculating profits or losses, etc...
In this course, we take a quick refresher on what are first derivatives then mention how they could be used in some real life scenarios. Not all examples are real life cases. However, they give you a sense of how we could use derivatives through a set of theories proposed by great math scientists.
The structure of the course is divided into a lecture & a section mode. In each lecture, theories are stated and demonstrated through some examples. Mostly are either real life cases or related to real life problems. Then using sections, we have extra examples that make things more clear.
The course also includes notes which are the problems that are solved during lectures & sections in PDF downloadable format.
The course uses Prof. Gilbert Strang Calculus as a reference. The book is available to download for free from the MIT Open courseware hub.
To get the best out of the course you shall go through lectures, and sections first then start solving the problems on your own. It would be perfect to try on extra problems through the reference book.
Would always be happy to help and wish you get the best out of the course.
Thank you,