Summer 2020 Enroll Now, Start Today - Calculus-Based Statistics Academic CreditsSummer 2020 @ Roger Williams University
Our Probability Theory course differs from a classroom/textbook-based course in that we employ Mastery Learning so that you complete all assignments at 100% to assure competancy, as well as our curriculum shifting the course to a laboratory-style course, where theorem/lemma/proof type exposition is replaced by running experiments in Mathematica as you would in a science laboratory to empirically deduce the concepts and behaviors of Probability Theory, both solvable (classically) via hand-based techiques, as well as studying Probability Theory that can only be solved and investigated graphically and numerically using a computer. The Probability Theory curriculum is highly visual and based upon observations of experiments run in Mathematica.
Distance Calculus - Student Reviews
Date Posted: Apr 30, 2020
Review by: Hannah J.
Courses Completed: Probability Theory
Review: Probability Theory was a great course. Very very thorough. I thought it would never end :). I was very prepared for my coursework in economics. Excellent refereshher of derivatives and integrals - really forced me to remember that stuff from freshman cal.
Transferred Credits to: Boston University
Date Posted: Mar 16, 2020
Review by: Malia K.
Courses Completed: Applied Calculus
Review: Course was good and fast. I don't like math so I can't say it was fun or anything. Grader was very nice. Software was ok.
Transferred Credits to: University of Maine
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
7.02 - Data Analysis
- Y2: 7.02 - Data Analysis: