Engineering Calculus Online Course FAST

# Winter 2020 Engineering Calculus Fast for Academic Credits

Winter 2020 @ Roger Williams University## Distance Calculus - Student Reviews

*Date Posted: Jan 19, 2020*

Review by: William Williams

Student Email: wf.williamster@gmail.com

Courses Completed: Linear Algebra, Probability Theory

Review: I have difficulty learning calculus based math, akin to dyslexia when examining the symbolic forms, equations, definitions, and problems. Mathematica based calculus courses allowed me to continue with my studies because of the option of seeing the math expressed as a programming language for which I have no difficulty in interpreting visually and the immediate feedback of graphical representations of functions, equations, or data makes a huge impact on understanding. Mathematica based calculus courses should be the default method of teaching Calculus everywhere.

Transferred Credits to: Thomas Edison State College

*Date Posted: Apr 30, 2020*

Review by: Hannah J.

Courses Completed: Probability Theory

Review: Probability Theory was a great course. Very very thorough. I thought it would never end :). I was very prepared for my coursework in economics. Excellent refereshher of derivatives and integrals - really forced me to remember that stuff from freshman cal.

Transferred Credits to: Boston University

*Date Posted: Feb 23, 2020*

Review by: Carl Conners

Courses Completed: Multivariable Calculus, Differential Equations, Linear Algebra

Review: After a really rough first year of calculus, I completed all of the second year calculus courses with Distance Calculus. It was like night and day the difference. My first year was so boring and monotonous. Multivariable Calculus, Differential Equations, and Linear Algebra through Distance Calculus were just so much different - so not boring at all. I thoroughly enjoyed these courses. So engaging.

Transferred Credits to: Michigan State University

## Distance Calculus - Curriculum Exploration

### 1.01: Growth

- M1: 1.01: Growth:
- M1.1: 1.01 - Basics
- M1.1.a: 1.01.B1: Growth of Line Functions
- M1.1.b: 1.01.B2: Growth of Power Functions
- M1.1.c: 1.01.B3: Growth of Exponential Functions
- M1.1.d: 1.01.B4: Dominance in the Global Scale
- M1.1.e: 1.01.B5: Percentage Growth Rate and Dominance in the Global Scale
- M1.2: 1.01 - Tutorials
- M1.2.a: 1.01.T1: Global Scale
- M1.2.b: 1.01.T2: Linear Models
- M1.2.c: 1.01.T3: Data Analysis and Compromise Lines
- M1.2.d: 1.01.T4: Functions Given by Data Lists: Interpolation and Analysis
- M1.2.e: 1.01.T5: The Trig Functions sin(x) and cos(x)
- M1.2.f: 1.01.T6: Another Linear Model: Drinking and Driving
- M1.3: 1.01 - Give It A Try
- M1.3.a: 1.01.G1: Line Fundamentals
- M1.3.b: 1.01.G2: Global Scale
- M1.3.c: 1.01.G3: Linear Models
- M1.3.d: 1.01.G4: Compromise lines through data
- M1.3.e: 1.01.G5: Green Globs
- M1.3.f: 1.01.G6: Percentage Growth
- M1.3.g: 1.01.G7: Functions given by data lists: Interpolation and analysis
- M1.3.h: 1.01.G8: Another linear model: Drinking and Driving
- M1.3.i: 1.01.G9: Interpolation and Approximation
- M1.4: 1.04 - Literacy
- M1.5: 1.01 Revisited
- M1.5.a: 1.01 Revisited Screencast Lecture Examples
- M1.5.b: 1.01.B1 Revisited
- M1.5.c: 1.01.B2 Revisited
- M1.5.d: 1.01.B3 Revisted
- M1.5.e: 1.01.B4 Revisited
- M1.5.f: 1.01.B5 Revisited
- M1.5.g: 1.01.T1 Revisited
- M1.5.h: 1.01.LS #14 Revisited
- M1.5.i: LS #15 Revisited
- M1.5.j: 1.01.LS #16 Revisited
- M1.5.k: 1.01.LS #19 Revisited