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Differential Equations Fast Academic Credits!

Differential Equations is a second-year calculus-sequence course that is the gateway to physics, engineering, economics, data science, and other popular STEM disciplines.

Our Differential Equations course is not a text-booky course, with endless paper-and-pencil manual approaches to the subject of differential equations, which most textbooks just do the standard "here is how you solve by hand this type of differential equation".

Our Differential Equations course is more like a laboratory course, where you use Mathematica as a tool to investigate the subject of differential equations, much the way a physicist or engineer would study the subject - via experimentation using a powerful laboratory tool to look at differential equations qualitatively, quantitatively, graphically, empiracally.

Below are some videos on the Differential Equations course you may find interesting.

Differential Equation Course

Data Science and Distance Calculus





 





Distance Calculus - Student Reviews

M M.★★★★★
Posted: Feb 8, 2026
Courses Completed: Precalculus, Calculus I
The courses were excellent. Very flexible and engaging and the platform offers a lot of upper-level courses. Dr. Curtis is an outstanding professor and very responsive. I would take again.
Transferred Credits To: None yet
Dorota M.★★★★★
Posted: May 5, 2025
Excellent course that you can take at your own pace. The instructor is excellent and I was able to get my questions answered quickly and complete this for an EMBA prerequisite. I would recommend this course to anyone trying to learn basics of calculus on their own timeline. The class prepared me well for my coursework at MIT.
Transferred Credits To: MIT
Jennifer S.★★★★★
Posted: Aug 16, 2020
Courses Completed: Calculus I
The course was intense and required a lot of hard work. Professors ready available to assist when needed. Professors presented and explained materials/course work in detail and provided explanations and resources.
Transferred Credits To: University of New Haven, West Haven, CT
Aiden B.★★★★★
Posted: Jul 29, 2026
Courses Completed: Calculus II, Multivariable Calculus, Differential Equations, Linear Algebra
After completing all the math offered by my highschool, I switched over to Roger Williams for Calculus II and onward. Overall, it has been a pretty great way to understand the topics online, with transferrable college credits. The exams are not terrible, and the courses cover the vast majority (if not all) of topics covered by traditional courses, with some unique ones added to. So far, I have taken four courses, with another one or two before I graduate.

The only problem with the course is the lack of pen and paper work. This shouldn't come as a crazy surprise with an online course, but there is not much emphasis on symbolic computation. Mathematica or other software does most of the heavy computation for you. The lectures usually show how to solve the problems through paper, but those skills are rarely put into practice. Literacy Sheets act as a way to do some of that (especially with the Calculus II & III course).

All in all, this isn't a huge issue. I just memorize and practice things like double integration, Laplace, ODE solving, matrix diagonalized form, row operations, etc. With a little outside work, this resolves itself. Without Roger WIlliams, I probably would not have been able to take any of these math courses in highschool.

So overall, a great choice for highschool advanced math, especially with transferrable credits.
Email: abarger@protonmail.com
Lucas L.★★★★★
Posted: Jun 25, 2026
Courses Completed: Multivariable Calculus
The professor as well as the TAs give great feedback when you need help with problems and the videos are great at explaining concepts. Return time on work is good and the work is not too much to handle.
Transferred Credits To: University of Wisconsin
Hari K.★★★★
Posted: Jun 24, 2026
Courses Completed: Linear Algebra
This course gives a perspective on Linear algebra that no traditional course does. I’d say i gained much more intuition for this subject from the DC course than my friends who took traditional courses elsewhere. As a cs major, this version of learning with visualization has helped me a lot in understand ML models. However the course doesn’t have videos for the last 2 chapers so i had to self learn with the mathematica notebooks. Response times are a little slow but since it’s a remote class, i guess it’s justified. Overall amazing course and definitely take this over traditional lin alg classes.
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