Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Harvard University

Fat Chance: Probability from the Ground Up

Harvard University via edX

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

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.

Syllabus

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
  • 1.5 The Subtraction Principle

2 Advanced Counting

  • 2.1 Counting Collections
  • 2.2 Binomial Coefficients
  • 2.3 Applications of Collections
  • 2.4 Multinomials
  • 2.5 Collections with Repetition

3 Basic Probability

  • 3.1 Flipping Coins
  • 3.2 Rolling Dice
  • 3.3 Playing Poker
  • 3.4 Distributions of Bridge Hands

4 Expected Value

  • 4.1 Expected Value: Chuck-A-Luck
  • 4.2 Expected Value: Slot Machines
  • 4.3 Strategizing

5 Conditional Probability

  • 5.1 The Monty Hall Problem
  • 5.2 Conditional Probability: Set-Up and Examples
  • 5.3 Conditional Probability: Elections

6 Bernoulli Trials

  • 6.1 Bernoulli Trials
  • 6.2 The Gambler's Ruin

7 The Normal Distribution

  • 7.1 Games
  • 7.2 Games: Examples and Variance
  • 7.3 Iterating Games
  • 7.4 The Normal Distribution - Part 1
  • 7.5 The Normal Distribution - Part 2

Taught by

Benedict Gross, Joseph Harris and Emily Riehl

Reviews

4.3 rating, based on 6 Class Central reviews

4.6 rating at edX based on 58 ratings

Start your review of Fat Chance: Probability from the Ground Up

  • 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/
  • 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 he…
  • Anonymous
    The material is pretty straightforward for this course but I don't feel it's presented in a way that makes sense to people with no prior experience in statistics. I did statistics in my undergrad and am currently reviewing to start my grad level course work in a couple of weeks, and I found that some of the examples and ways things are taught in this course actually left me more confused. The Practice problems are also a huge leap from what's presented in the material and do not suffice in cementing your learning from each section. Think you might be better finding a better paced course on youtube and/ or a textbook to learn from with sufficient practice problems.
  • Anonymous
    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
    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
    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.

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.