MBA Calculus Courses winter 2020 Online Course

# Winter 2020 MBA Calculus Courses - Distance Calculus @ Roger Williams University winter 2020 Online Calculus Academic Credits

Winter 2020 @ Roger Williams UniversityMBA students seeking to fulfill their calculus requirement may do so via our Applied Calculus - Math 207 - 3 credit course - which is very popular with MBA-bound students.

Even if your MBA school does not require Calculus, your enrollment application to your MBA school will look stronger with more Calculus courses on your academic transcripts.

For most MBA students, a single course like Applied Calculus will suffice.

For those students planning to go to very strongly mathematical MBA program (e.g. Sloan School of Management at MIT), you will actually need to take the ENTIRE Engineering Calculus sequence!

Please explore these links below that describe more about the types of calculus courses you may wish to take before applying for MBA school, or other graduate programs that historically require Calculus and/or more mathematics prerequisites.

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

- 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 12, 2020*

Review by: Brian Finley

Courses Completed: Calculus II

Review: I took Calculus II through Distance Calculus and can't recommend it enough. Being able to take the course at my own pace while I was working full time was tremendously helpful, especially since I hadn't taken a math course for 5 years prior. The instruction was excellent and the software they used to teach the course was intuitive and facilitated the learning process very well. This calc II class enabled me to take multivariable calc, linear algebra, and real analysis at Harvard University's extension school, which ultimately qualified me for the economics PhD program that I will graduate from next year. 8 years on, I'm still grateful to Professor Curtis and Distance Calculus.

*Date Posted: Apr 5, 2020*

Review by: Catherine M.

Courses Completed: Calculus I

Review: Calculus I from Distance Calculus was wonderful! I took AB Calculus in high school, but I didn't take the AP Calc exam. Instead I took Calculus I with Distance Calculus, and it was so much better! It was a little review of topics, but not really. I really understood calculus when I finished!

Transferred Credits to: University of Chicago

*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

## 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