Linear Matrix Algebra + Multivariable Calculus for Advanced High School Students
Many very motivated and eager high school students will finish Calculus AB (Calculus I) and Calculus BC (Calculus II) during their junior or senior year of high school, and look to take more mathematics courses during high school. Yet, in most high schools, Calculus II is the highest course offered.If you finish these AP Calculus courses during your senior year, then one option to get ahead with your academic plan is to complete the next few courses: Linear Algebra, Calculus 3 (Calculus III) - multivariable calculus, honors multivariable calculus, honors vector analysis, honors calculus 4, honors calculus IV, and perhaps even Differential Equations and/or Calculus-Based Statistics (Probability Theory) - during your senior year or during the summer before you start your new undergraduate university. Earning real collegiate academic credits for Linear Algebra and then transferring those credits to your new undergraduate college/university is an excellent way to start your new school with some advanced mathematics credits under your belt.
Some very eager students may finish Calculus I (AB) and Calculus II (BC) during their junior year of high school. For these students, enrolling in DMAT 311 - Linear Algebra, and perhaps DMAT 355 - Multivariable Calculus and DMAT 321 - Differential Equations, via Distance Calculus @ Roger Williams University is an excellent way to FINISH your lower division mathematics courses even before you step foot onto your new college/university campus the following Fall semester!
Here is a video about our DMAT 311 - Linear Algebra course via Distance Calculus @ Roger Williams University:
DMAT 311 - Linear Algebra Course
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: Jan 13, 2020
Courses Completed: Calculus II
I highly recommend this course! Dr. Curtis is the best teacher and is ALWAYS willing to work with you to make sure you understand the subject. It was definitely a positive experience and the credits were transferred to my University with no problems! I definitely do not regret it and I had doubts in the beginning but if I had to, I would do it all over again!
Email: jflores35@knights.ucf.edu
Transferred Credits To: University of Central Florida
Posted: May 7, 2025
Courses Completed: Multivariable Calculus, Differential Equations, Linear Algebra, Probability Theory
I've taken Multivariable Calculus, Linear Algebra, Differential Equations, and Probability Theory through Distance Calculus. All four courses were awesome. Dr. Curtis and the TA's were very responsive and helpful.
The biggest advantage of these courses, compared to taking a traditional course, is that in addition to the theory, I was forced to also think computationally. I have become quite adept at using LiveMath and Mathematica for doing calculations and plots.
All of the courses were accepted for credit transfer (Johns Hopkins University)
The biggest advantage of these courses, compared to taking a traditional course, is that in addition to the theory, I was forced to also think computationally. I have become quite adept at using LiveMath and Mathematica for doing calculations and plots.
All of the courses were accepted for credit transfer (Johns Hopkins University)
Email: chrismillermd@me.com
Transferred Credits To: Johns Hopkins University
Posted: Sep 20, 2020
Courses Completed: Applied Calculus
I found out from my grad school after being accepted that I needed a Calculus course before starting their MBA program. I had less than 6 weeks to do it (and as a non-STEM undergrad no less). The video lectures were informative, the pre-calc refresher was great to get re-conditioned, and the asynchronous format worked so well as I did this at night/weekends after work. I completed it in 4 weeks. Professor Curtis was extremely responsive, graded assignments quickly, and a supportive guide providing constructive feedback to me to excel at the assignments. I highly recommend this course for those who need a pre-req in a hurry or like learning on their own schedule. Thanks, Distance Calculus and Professor Curtis!
Transferred Credits To: Massachusetts Institute of Technology (MIT)
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
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