# Linear Algebra with Mathematica - Distance Calculus

The Linear Algebra course from Distance Calculus @ Roger Williams University is a Mathematica®-based course.#### 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]

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 Linear Algebra course via Distance Calculus @ Roger Williams University:

## Linear Algebra Course

## Multivariable Calculus & High School

## After AP Calculus for High School Students

Linear Algebra course can best be described as a "first course in the study of Linear Algebra and Matrix Theory".

This course has many names, all being equivalent:

- Linear Algebra
- Matrix Theory
- Linear Systems of Equations
- Linear Spaces

Our Linear Algebra course differs from a classroom/textbook-based course in that we employ Mastery Learning so that you complete all assignments at 100% to assure competancy, as well as our curriculum shifting the course to a laboratory-style course, where theorem/lemma/proof type exposition is replaced by running experiments in Mathematica as you would in a science laboratory to empirically deduce the concepts and behaviors of Linear Algebra, both solvable (classically) via hand-based techiques, as well as studying Linear Algebra that can only be solved and investigated graphically and numerically using a computer. The Linear Algebra curriculum is highly visual and based upon observations of experiments run in Mathematica.

At Distance Calculus, we call our "Linear Algebra" course as Linear Algebra - DMAT 335 - 3 credits.

Below are some links for further information about the Linear 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]

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## Distance Calculus - Student Reviews

*Date Posted: Aug 23, 2020*

Review by: Sean Metzger

Student Email: seanmetzger78@gmail.com

Courses Completed: Differential Equations

Review: A lifesaver. When I found out I needed a course done in the last weeks of summer I thought there was no way i'd find one available, but this let me complete the course as quickly as I needed to while still mastering the topics. Professor always got back to me very quickly and got my assignments back to me the next day or day of. Can't recommend this course enough for students in a hurry or who just want to learn at their own pace.

Transferred Credits to: Missouri University of Science and Technology

*Date Posted: Jun 6, 2020*

Review by: Douglas Z.

Courses Completed: Multivariable Calculus, Differential Equations, Linear Algebra, Probability Theory

Review: 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

*Date Posted: Jun 6, 2020*

Review by: Douglas Z.

Courses Completed: Multivariable Calculus, Differential Equations, Linear Algebra, Probability Theory

Review: 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