Calculus-Based Statistics - Probability Theory
Probability Theory - also called Calculus-Based Statistics - is the "upper level" statistics course that uses Calculus to explore the topics of elementary statistics.| Course Level | DMAT # |
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| 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 # |
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| 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 experimentation-based, 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 non-major 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 self-starters, 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 non-STEM undergrad no less). The video lectures were informative, the pre-calc refresher was great to get re-conditioned, 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 pre-req in a hurry or like learning on their own schedule. Thanks, Distance Calculus and Professor Curtis!
Transferred Credits to: Massachusetts Institute of Technology (MIT)