Created specifically for those who are new to the study of probability, or for those who are seeking an approachable review of core concepts prior to enrolling in a college-level statistics course, Fat Chance prioritizes the development of a mathematical mode of thought over rote memorization of terms and formulae. Through highly visual lessons and guided practice, this course explores the quantitative reasoning behind probability and the cumulative nature of mathematics by tracing probability and statistics back to a foundation in the principles of counting.
In Modules 1 and 2, you will be introduced to basic counting skills that you will build upon throughout the course. In Module 3, you will apply those skills to simple problems in probability. In Modules 4 through 6, you will explore how those ideas and techniques can be adapted to answer a greater range of probability problems. Lastly, in Module 7, you will be introduced to statistics through the notion of expected value, variance, and the normal distribution. You will see how to use these ideas to approximate probabilities in situations where it is difficult to calculate their exact values.
1 Basic Counting
1.1 Counting Numbers
1.2 Large Numbers
1.3 The Multiplication Principle
1.4 More on the Multiplication Principle and Factorials
Kohei I completed this course, spending 4 hours a week on it and found the course difficulty to be easy.
My goal for talking this course was to understand the intuition behind probability and statistics. Although I had an introductory course a few decades ago, my emphasis was on memorization and manipulation of formulas. So, I found this course very helpful,...
My goal for talking this course was to understand the intuition behind probability and statistics. Although I had an introductory course a few decades ago, my emphasis was on memorization and manipulation of formulas. So, I found this course very helpful, as it starts from the fundamental: counting numbers. Although the mathematical notations are kept to a minimum, the concepts build up quite fast. For example, the generalized form of the Monty Hall problem could be a rather advanced topic for beginners. Well, maybe not for students going to Harvard…
On the negative side, the presentations were sometimes quite fast. As equations disappeared from the screen rapidly, I needed to pause to take notes to follow the discussions. Also, there were no explanations on evaluation problems, which can be a challenge for learners. Unfortunately, the teaching assistants are unable to discuss those problems sets, as a policy.
Overall, I found the lectures and exercises stimulating, especially on conditional probability. I would recommend to anyone willing to learn probability statistics from the fundamentals.
I've had doezens of MOOCs so far, mainly from coursera to edX, and this is definitely one of the best MOOC I've ever encountered. The course materials are easy to understand, and the video lectures are vivid, attractive and really helps you understanding the concepts. There are a lot of examples to go with the concept illustrated. And there are videos explaning the practise which really helps me consolidate the knowledge.
All the three instructors are really good at their jobs, and they make math so much fun than I ever expected!
Absolutely love this course!!!
Anonymous completed this course.
If you're looking for a course that starts at the very basic concepts and builds up your intuition slowly, this one is for you. I found it very helpful. It's worth mentioning it is very well made.
Anonymous completed this course.
No word to say,it was just amazing,cool and mind blowing probability course ever!
I think each and every mathematics student should enroll in this course.
Thanks to edX and HX for bringing course like Fat Chance.
Karen Carlson completed this course, spending 10 hours a week on it and found the course difficulty to be medium.
I loved this course - it was at exactly the level I needed. I particularly iiked the "office hours" feature : a video for each Practice Exercise, giving a clear step-by-step explanation of how the problem was approached and solved. I have a lot of trouble with math, especially stats, so this was very encouraging.
FMI see my blog post at https://sloopie72.wordpress.com/2018/05/30/fat-chance-counting-probability-mooc/