Linear Algebra with Mathematica from Wolfram - Distance Calculus
The Linear Algebra course from Distance Calculus @ Roger Williams University is a Mathematica®-based course.Mathematica® is a wonderfully-powerful tool for investigating mathematics - running numerical and graphical experiments to get to the root of understanding of the topics of Linear Algebra.
This course is not a traditional linear algebra course at all! Instead of the drudgery of "Reduced Row Echelon Form" the student uses the powerful Mathematica® software to investigate linear algebra topics that heretofore have been reserved to much more advanced courses on linear algebra. This course is bright, vibrant, lively, and thoroughly demanding - a perfect course for any student planning to study engineering, physics, data science, computer science, and all other related fields.
Here is a video about our DMAT 311 - Linear Algebra course via Distance Calculus @ Roger Williams University:
Linear Algebra Course - DMAT 311
Multivariable Calculus & High School
After AP Calculus for High School Students
Online Linear Matrix Algebra course can best be described as a "first course in the study of elementary Linear Algebra and Matrix Theory".
This course has many names, all being equivalent:
Distance Linear Algebra via Distance Calculus is a COMPLETELY DIFFERENT course from a traditional textbook/lecture classroom course.
Distance Linear Algebra is taught via an experimentation-based curriculum using Mathematica, earning real academic credits through Roger Williams University in Providence, Rhode Island, USA.
Distance Linear Algebra is similar to a Computational Linear Algebra course in some ways, but not exactly the same. A Computational Linear Algebra course will look at developing the computational engines that attack the structures of linear algebra; our Distance Linear Algebra simply uses those computational softwares like Mathematica as a laboratory tool, to unlock the concepts and theorems at work in Linear Algebra from a very graphical, geometric, and inquisitive approach.
In contrast, many classroom/textbook Linear Algebra courses are taught mainly the same way they were taught 100 years ago - the small breadbasket of calculations you can complete by hand on paper, and where the theory of linear algebra leads you. As such, the calculations you can complete youself are quite limited, although proponents of this approach feel you "really know linear algebra" because you have to do the (often hard and tedious) computing yourself by hand.
We invite you to investigate the Distance Linear Algebra course via Distance Calculus either via the menu to the left, or the additional links below.
At Distance Calculus, we call our "Online Linear Matrix Algebra" course as Linear Algebra - DMAT 335 - 3 credits.
Below are some links for further information about the Online Linear Matrix Algebra course via Distance Calculus @ Roger Williams University.
This course has many names, all being equivalent:
- Linear Algebra
- Matrix Theory
- Linear Systems of Equations
- Linear Spaces
- Elementary Linear Algebra
- Computational Linear Algebra
Distance Linear Algebra via Distance Calculus is a COMPLETELY DIFFERENT course from a traditional textbook/lecture classroom course.
Distance Linear Algebra is taught via an experimentation-based curriculum using Mathematica, earning real academic credits through Roger Williams University in Providence, Rhode Island, USA.
Distance Linear Algebra is similar to a Computational Linear Algebra course in some ways, but not exactly the same. A Computational Linear Algebra course will look at developing the computational engines that attack the structures of linear algebra; our Distance Linear Algebra simply uses those computational softwares like Mathematica as a laboratory tool, to unlock the concepts and theorems at work in Linear Algebra from a very graphical, geometric, and inquisitive approach.
In contrast, many classroom/textbook Linear Algebra courses are taught mainly the same way they were taught 100 years ago - the small breadbasket of calculations you can complete by hand on paper, and where the theory of linear algebra leads you. As such, the calculations you can complete youself are quite limited, although proponents of this approach feel you "really know linear algebra" because you have to do the (often hard and tedious) computing yourself by hand.
We invite you to investigate the Distance Linear Algebra course via Distance Calculus either via the menu to the left, or the additional links below.
At Distance Calculus, we call our "Online Linear Matrix Algebra" course as Linear Algebra - DMAT 335 - 3 credits.
Below are some links for further information about the Online Linear Matrix Algebra course via Distance Calculus @ Roger Williams University.
- Online Linear Matrix Algebra Online Course For Credit Start Today, Finish Quickly
- Online Linear Matrix Algebra Summer 2026 Online Course
- Online Linear Matrix Algebra Winter 2026 Online Course
- Online Linear Matrix Algebra Fall 2026 Online Course
- Online Linear Matrix Algebra Online Accredited
Distance Calculus - Student Reviews
Posted: Dec 8, 2020
Courses Completed: Differential Equations
This course may be more difficult than your average differential equations course, which better prepares you to use these skills in your degree. The self-learning does make learning some of the concepts challenging, but you get the help you need to understand these concepts.
Transferred Credits To: Johns Hopkins University
Posted: May 17, 2025
Courses Completed: Linear Algebra
Online learning for math is certainly a different way of learning than most are used to in school - However, Distance Calculus does a great job of providing valuable feedback and tips on each assignment, and the professor is always available for detailed instruction and help. Tools like Mathematica provide an environment for learning with a lot more freedom and opportunity for exploration of concepts than the regular classroom setting.
Transferred Credits To: Chaminade University of Honolulu
Posted: Jun 6, 2020
Courses Completed: Multivariable Calculus, Differential Equations, Linear Algebra, Probability Theory
I loved these courses. So in depth and comprehensive. The mix of software and math curriculum was tremendously helpful to my future studies and career in engineering. I highly recommend these courses if you are bored of textbook courses.
Transferred Credits To: University of Massachusetts, Amherst
Posted: Dec 18, 2025
Courses Completed: Differential Equations
Transferred Credits To: Saint Joseph High School
Posted: Nov 20, 2025
Courses Completed: Precalculus, Applied Calculus
Great course. Professor Curtis and the TAs graded quickly and gave really helpful feedback that made the class feel smooth and manageable. Definitely recommend it.
Transferred Credits To: Binghamton University (School of Managment)
Posted: Jun 19, 2025
Courses Completed: Calculus I
POSITIVES:
One of the best math classes I have ever taken. The lessons made the failures of my previous professors very apparent. In a few short minutes, things that I used to struggle with just clicked. This professor is top notch and really wants you to understand how to use the material.
NEGATIVES:
The SOFTWARE is extremely frustrating. Even after taking the time to learn, there are countless glitches. You learn to work around them, and overall, the software makes the math convenient, but its failures are sorely felt throughout the course. Make sure you save often as it crashes regularly, especially with graphs.
The assignments are easy enough but some of them don't line up with the taught material. Be prepared to do some of your own independent research to get a deeper understanding of why things are the way they are.
One of the best math classes I have ever taken. The lessons made the failures of my previous professors very apparent. In a few short minutes, things that I used to struggle with just clicked. This professor is top notch and really wants you to understand how to use the material.
NEGATIVES:
The SOFTWARE is extremely frustrating. Even after taking the time to learn, there are countless glitches. You learn to work around them, and overall, the software makes the math convenient, but its failures are sorely felt throughout the course. Make sure you save often as it crashes regularly, especially with graphs.
The assignments are easy enough but some of them don't line up with the taught material. Be prepared to do some of your own independent research to get a deeper understanding of why things are the way they are.
Transferred Credits To: US Army
Course Information
Frequent Questions
