CalculusBased Statistics  Probability Theory
Probability Theory  also called CalculusBased Statistics  is the "upper level" statistics course that uses Calculus to explore the topics of elementary statistics.Course Level  DMAT # 


Freshman Core 
253  Calculus I  4  
263  Calculus II  4  
Freshman HONORS 
254  HONORS Calculus I  5  
264  HONORS Calculus II  5  
255  HONORS Calculus I+II For Data Science  5  
Applied Calculus 
201  Calculus for Business  3  
202  Calculus for Life Science  3  
Before Calculus 
135  Precalculus with Trigonometry  4  
125  Introductory Statistics ^{*Spring 2024}  4  
145  Finite Mathematics ^{*Spring 2024}  3  
225  Discrete Mathematics ^{*Spring 2024}  4 
Course Level  DMAT # 


Sophomore Core 
355  Multivariable Calculus  4  
321  Differential Equations  3  
335  Linear Algebra  4  
311  Probability Theory  3  
Sophomore HONORS 
356  HONORS Multivariable Calculus  5  
322  HONORS Differential Equations  4  
336  HONORS Linear Algebra  5  
337  HONORS Linear Algebra for Data Science  5  
Upper Division 
431  Abstract Algebra ^{*Spring 2024}  4  
451  Differential Geometry ^{*Spring 2024}  4 
The curriculum for our Probability Theory course is absolutely wonderful, exploring the topics of beginning statistics with a fresh approach, devoid of the "here's the next formula and here's what it means" commonly found in traditional textbook courses.
Our Distance Calculus Probabality Theory course is highly experimentationbased, so you will run simulations in either LiveMath or Mathematica, and look at the topics empirically, trying to determine what is going on with the mathematics like a good scientist would  using observation and deductive reasoning.
Probability Theory covers the all of the topics in a basic nonmajor Statistics course. You do not need to have taken "baby" Statistics prior to taking Probability Theory  but you will need Calculus II under your belt.
Below are some videos on our Probability Theory Course:
Probability Theory Course
Preparing for Data Science
Distance Calculus  Student Reviews
Date Posted: Jul 25, 2020
Review by: Michael Linton
Student Email: mdl264@cornell.edu
Courses Completed: Calculus I
Review: Amazing professor, extremely helpful and graded assignments quickly. To any Cornellians out there, this is the Calculus Course to take in Summer to fulfill your reqs! I would definitely take more Calculus Classes this way in the future!
Transferred Credits to: Cornell University
Date Posted: Jan 13, 2020
Review by: Daniel Marasco
Courses Completed: Multivariable Calculus
Review: This course was more affordable than many, and the flexible format was terrific for me, as I am inclined to work very diligently on tasks on my own. It could be dangerous for a person who requires external discipline more, but it works well for selfstarters, allowing you to prioritize when you have other pressing work. I was a full time teacher adding a math certification, and this course allowed me to master the math while working around my teaching schedule and fitting work into moments here and there when I had time. I was able to transfer the credits to Montana State University, Bozeman for my teaching internship program without a hitch. The instructors were all very helpful and patient, even when I failed to see a ridiculously simple solution on one problem after 20 emails back and forth. Overall, I was more pleased with my experience in this class than I was with any of my other 9 courses.
Transferred Credits to: Montana State University, Bozeman
Date Posted: Sep 20, 2020
Review by: Genevieve P.
Courses Completed: Applied Calculus
Review: I found out from my grad school after being accepted that I needed a Calculus course before starting their MBA program. I had less than 6 weeks to do it (and as a nonSTEM undergrad no less). The video lectures were informative, the precalc refresher was great to get reconditioned, and the asynchronous format worked so well as I did this at night/weekends after work. I completed it in 4 weeks. Professor Curtis was extremely responsive, graded assignments quickly, and a supportive guide providing constructive feedback to me to excel at the assignments. I highly recommend this course for those who need a prereq in a hurry or like learning on their own schedule. Thanks, Distance Calculus and Professor Curtis!
Transferred Credits to: Massachusetts Institute of Technology (MIT)