Online Linear Matrix Algebra Fast for Academic Credits
Unable to "wait for the next academic semester" to complete a Online Linear Matrix Algebra course? Distance Calculus @ Roger Williams University has you covered!Freshman Math Courses
- Applied Calculus for Business [3 credits] [3CR]
- Applied Calculus for Life Science [3 credits] [3CR]
- Calculus I[4 credits] [4CR]
- Calculus II[4 credits] [4CR]
Sophomore Math Courses
- Multivariable Calculus III [4 credits] [4CR]
- Differential Equations [3 credits] [3CR]
- Linear Algebra [4 credits] [4CR]
- Probability Theory [3 credits] [3CR]
Honors Math Courses
- Honors Calculus I [5 credits] [5CR]
- Honors Calculus II [5 credits] [5CR]
- Honors Calculus I+II for Data Science [5 credits] [5CR]
- Honors Multivariable Calculus [5 credits] [5CR]
- Honors Differential Equations [4 credits] [4CR]
- Honors Linear Algebra [5 credits] [5CR]
- Honors Linear Algebra for Data Science [5 credits] [5CR]
Lower Division Math Courses
- Precalculus with Trigonometry [4 credits] [4CR]
- Introductory Statistics [4 credits] [4CR]
- Finite Mathematics [3 credits] [3CR]
- Discrete Mathematics [4 credits] [4CR]
Upper Division Math Courses
- Computational Abstract Algebra [4 credits] [4CR]
- Computational Differential Geometry [4 credits] [4CR]
Distance Calculus is designed to get you enrolled in Online Linear Matrix Algebra immediately, and to have you finish the course as quickly as your academic skills allow.
Each Calculus course is different, some are more difficult and longer than others. But depending upon which Distance Calculus course, you could finish your course in a matter of weeks. It all depends upon your academic skills - some students are able to go lightning fast through the courses, some students need more time. Our only rule is that you go through the courses CORRECTLY and learn the material in our mastery learning format at 100% completion.
Our Distance Calculus courses are designed to be asynchronous - a fancy term for "self-paced" - but it more than just self-paced - it is all about working on your timeline, and going either as slow as you need to, or as fast as your academic skills allow.
Many students need a Online Linear Matrix Algebra course completed on the fast track - because time is critical in finishing calculus courses needed for academic prerequisites and graduate school applications.
Here is a video about earning real academic credits from Distance Calculus @ Roger Williams University:
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:
- 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.
Freshman Math Courses
- Applied Calculus for Business [3 credits] [3CR]
- Applied Calculus for Life Science [3 credits] [3CR]
- Calculus I[4 credits] [4CR]
- Calculus II[4 credits] [4CR]
Sophomore Math Courses
- Multivariable Calculus III [4 credits] [4CR]
- Differential Equations [3 credits] [3CR]
- Linear Algebra [4 credits] [4CR]
- Probability Theory [3 credits] [3CR]
Honors Math Courses
- Honors Calculus I [5 credits] [5CR]
- Honors Calculus II [5 credits] [5CR]
- Honors Calculus I+II for Data Science [5 credits] [5CR]
- Honors Multivariable Calculus [5 credits] [5CR]
- Honors Differential Equations [4 credits] [4CR]
- Honors Linear Algebra [5 credits] [5CR]
- Honors Linear Algebra for Data Science [5 credits] [5CR]
Lower Division Math Courses
- Precalculus with Trigonometry [4 credits] [4CR]
- Introductory Statistics [4 credits] [4CR]
- Finite Mathematics [3 credits] [3CR]
- Discrete Mathematics [4 credits] [4CR]
Upper Division Math Courses
- Computational Abstract Algebra [4 credits] [4CR]
- Computational Differential Geometry [4 credits] [4CR]
- Online Linear Matrix Algebra Online Course For Credit Start Today, Finish Quickly
- Online Linear Matrix Algebra Summer 2024 Online Course
- Online Linear Matrix Algebra Winter 2024 Online Course
- Online Linear Matrix Algebra Fall 2024 Online Course
- Online Linear Matrix Algebra Online Accredited
Distance Calculus - Student Reviews
Date Posted: Jan 13, 2020
Review by: Daniel Marasco
Courses Completed: Multivariable Calculus
Review: This course was more affordable than many, and the flexible format was terrific for me, as I am inclined to work very diligently on tasks on my own. It could be dangerous for a person who requires external discipline more, but it works well for self-starters, allowing you to prioritize when you have other pressing work. I was a full time teacher adding a math certification, and this course allowed me to master the math while working around my teaching schedule and fitting work into moments here and there when I had time. I was able to transfer the credits to Montana State University, Bozeman for my teaching internship program without a hitch. The instructors were all very helpful and patient, even when I failed to see a ridiculously simple solution on one problem after 20 emails back and forth. Overall, I was more pleased with my experience in this class than I was with any of my other 9 courses.
Transferred Credits to: Montana State University, Bozeman
Date Posted: Jun 21, 2020
Review by: Abdul J.
Courses Completed: Applied Calculus
Review: This was the best class! So much more interesting doing the computer math than a boring lecture class. Diane was so responsive and helpful. I recommend this course.
Transferred Credits to: Villanova University
Date Posted: Jun 2, 2021
Review by: Samuel H.
Student Email: samuel.howell@g.fmarion.edu
Courses Completed: Linear Algebra
Review: Nothing but praise for Dr. Curtis. He's an excellent professor who is very responsive and knowledgeable. I did this course at night while working full-time, and I often skyped him late in the evening with questions. He never took long to respond, regardless of when it was. I finished this course in about a month and a half, and I worked for it. For those looking for an easy A, this is not it. You will have to put in serious work, but you will come out of the course with a good understanding of the material, especially if you apply yourself throughout the entirety of the course.
Transferred Credits to: Francis Marion University
Freshman Math Courses
- Applied Calculus for Business [3 credits] [3CR]
- Applied Calculus for Life Science [3 credits] [3CR]
- Calculus I[4 credits] [4CR]
- Calculus II[4 credits] [4CR]
Sophomore Math Courses
- Multivariable Calculus III [4 credits] [4CR]
- Differential Equations [3 credits] [3CR]
- Linear Algebra [4 credits] [4CR]
- Probability Theory [3 credits] [3CR]
Honors Math Courses
- Honors Calculus I [5 credits] [5CR]
- Honors Calculus II [5 credits] [5CR]
- Honors Calculus I+II for Data Science [5 credits] [5CR]
- Honors Multivariable Calculus [5 credits] [5CR]
- Honors Differential Equations [4 credits] [4CR]
- Honors Linear Algebra [5 credits] [5CR]
- Honors Linear Algebra for Data Science [5 credits] [5CR]
Lower Division Math Courses
- Precalculus with Trigonometry [4 credits] [4CR]
- Introductory Statistics [4 credits] [4CR]
- Finite Mathematics [3 credits] [3CR]
- Discrete Mathematics [4 credits] [4CR]
Upper Division Math Courses
- Computational Abstract Algebra [4 credits] [4CR]
- Computational Differential Geometry [4 credits] [4CR]