Calculus III Online Course FAST

# Winter 2020 Calculus III Fast for Academic Credits

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

*Date Posted: Feb 28, 2020*

Review by: Karen N.

Courses Completed: Calculus I, Calculus II

Review: Awesome classes! I was really weak with Calculus, so I retook Calc 1 and kept going into Calc 2. I feel like I finally understood Calculus. The finals were pretty thorough, but not nearly as stressful as the blue book exams. I highly recommend these courses!

Transferred Credits to: Various

*Date Posted: Apr 13, 2020*

Review by: Jorgen M.

Courses Completed: Calculus I

Review: I really enjoyed this course, much more than I thought I would. I needed to finish this course very fast before starting my graduate degree program @ Kellogg. I was able to finish in 3 weeks. I liked the video lectures and the homework process. I highly recommend this course.

Transferred Credits to: Kellogg School of Business, Northwestern Univ

*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

### VC.03 - Gradient

- V3: VC.03 - Gradient:
- V3.1: VC.03 - Basics
- V3.1.a: VC.03.B1: The gradient and the chain rule
- V3.1.b: VC.03.B2: Level curves, level surfaces and the gradient as normal vector
- V3.1.c: VC.03.B3: The gradient points in the direction of greatest initial increase
- V3.1.d: VC.03.B4: Using linearizations to help to explain the chain rule
- V3.2: VC.03 - Tutorials
- V3.2.a: VC.03.T1: The total differential
- V3.2.b: VC.03.T2: What's the chain rule good for?
- V3.2.c: VC.03.T3: The gradient and maximization and minimization
- V3.2.d: VC.03.T4: Eye-balling a function for max-min
- V3.2.e: VC.03.T5: Data fit
- V3.2.f: VC.03.T6: Lagrange's method for constrained maximization and minimization
- V3.3: VC.03 - Give It a Try
- V3.3.a: VC.03.G1: The gradient points in the direction of greatest initial increase
- V3.3.b: VC.03.G2: The gradient is perpendicular to the level curves and surfaces
- V3.3.c: VC.03.G3: The heat seeker
- V3.3.d: VC.03.G4: Doing 'em by hand
- V3.3.e: VC.03.G5: The highest crests and the deepest dips
- V3.3.f: VC.03.G6: Closest points, gradients and Lagrange's method
- V3.3.g: VC.03.G7: The Cobb-Douglas manufacturing model for industrial engineering
- V3.3.h: VC.03.G8: Data Fit in two variables: Plucking a guitar string
- V3.3.i: VC.03.G9: Linearizations and total differentials
- V3.3.j: VC.03.G10: Keeping track of constituent costs
- V3.3.k: VC.03.G11: The great pretender
- V3.3.l: VC.01.G1-A: Another Help Movie
- V3.3.m: VC.01.G1-B: Another Help Movie
- V3.3.n: VC.01.G1-C: Yet Another Help Movie
- V3.3.o: VC.03.G2.c Hint
- V3.4: VC.03 - Literacy
- V3.5: VC.03 - Revisited
- V3.5.a: VC.03.B1 - Revisited
- V3.5.b: VC.03.B2 - Revisited
- V3.5.c: VC.03.B3 - Revisited
- V3.5.d: VC.03.T1 - Revisited
- V3.5.e: VC.03.T2 - Revisited
- V3.5.f: VC.03.T3 - Revisited
- V3.5.g: VC.03.T4 - Revisited
- V3.5.h: VC.03.T6 - Revisited
- V3.5.i: VC.03.G1.b.i - Revisited
- V3.5.j: VC.03.G1.d.i - Revisited
- V3.5.k: VC.03.G1.d.ii - Revisited
- V3.5.l: VC.03.G2.c - Revisited