Summer 2020 Multivariable Calculus Fast for Academic CreditsSummer 2020 @ Roger Williams University
Unable to "wait for the next academic semester" to complete a Multivariable Calculus course? Summer 2020 Distance Calculus @ Roger Williams University has you covered!
Need to finish your Multivariable Calculus course as fast as possible? Summer 2020 Distance Calculus is ready for you.
Summer 2020 Distance Calculus is designed to get you enrolled in Multivariable Calculus immediately, and to have you finish the course as quickly as your academic skills allow.
Each Calculus course is different, some are more difficult and longer than others. But depending upon which Summer 2020 Distance Calculus course, you could finish your course in a matter of weeks. It all depends upon your academic skills - some students are able to go lightning fast through the courses, some students need more time. Our only rule is that you go through the courses CORRECTLY and learn the material in our mastery learning format at 100% completion.
Our Summer 2020 Distance Calculus courses are designed to be asynchronous - a fancy term for "self-paced" - but it more than just self-paced - it is all about working on your timeline, and going either as slow as you need to, or as fast as your academic skills allow.
Many students need a Multivariable Calculus course completed on the fast track - because time is critical in finishing calculus courses needed for academic prerequisites and graduate school applications.
Here is a video about earning real academic credits from Summer 2020 Distance Calculus @ Roger Williams University:
Distance Calculus - Student Reviews
Date Posted: Aug 23, 2020
Review by: Sean Metzger
Student Email: firstname.lastname@example.org
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: May 3, 2018
Review by: James Holland
Courses Completed: Calculus I, Calculus II
Review: I needed to finish the Business Calculus course very very very fast before my MBA degree at Wharton started. With the AWESOME help of Diane, I finished the course in about 3 weeks, allowing me to start Wharton on time. Thanks Diane!
Transferred Credits to: Wharton School of Business, University of Pennsylvania
Date Posted: Jan 13, 2020
Review by: Janice Flores
Student Email: email@example.com
Courses Completed: Calculus II
Review: I highly recommend this course! Dr. Curtis is the best teacher and is ALWAYS willing to work with you to make sure you understand the subject. It was definitely a positive experience and the credits were transferred to my University with no problems! I definitely do not regret it and I had doubts in the beginning but if I had to, I would do it all over again!
Transferred Credits to: University of Central Florida
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