Accredited Online Calculus Courses Online Course For Credit, Start Immediately

# Winter 2020 Enroll Now, Start Today - Accredited Online Calculus Courses Academic Credits

Winter 2020 @ Roger Williams UniversityIf you wish to complete a Calculus course online, make sure you take this course from a

**regionally accredited college/university**so that the credits you earn from this course will actually transfer to your home college/university.

The free courses available from the MOOCs (Massive Open Online Courses) like edX, Coursera, Udacity, Khan Academy, MIT Open Courseware, etc. are really excellent courses, but they do

**NOT**result in transferrable academic credits from an accredited university!

Winter 2020 Distance Calculus @ Roger Williams University offers all of the main lower-division university-level calculus courses, fully accredited and transferable.

- Math 136 - Precalculus - 4 credits
- Math 207 - Applied Calculus - 3 credits
- Math 213 - Calculus I - 4 credits
- Math 214 - Calculus II - 4 credits
- Math 351 - Multivariable Calculus - 4 credits
- Math 317 - Differential Equations - 3 credits
- Math 331 - Linear Algebra - 3 credits
- Math 315 - Probability Theory - 3 credits

## 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: 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

## 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