Information Technology
Hands on Training icon
Hands On Training
Hands on Training icon

Probability Puzzles in R

Course Cover

5

(3)

compare button icon

Course Features

icon

Duration

4 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Mobile, Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

4 hours

Course Description

Do you want to increase your probability skills? This course uses problem-based learning to teach you how to solve probability puzzles. As you work through the problems, you will be able to code and apply general strategies to solve other probability problems. The course is organized according to theme. The course begins with the Monty Hall puzzle and Birthday Problem and ends with poker-related puzzles like Texas Hold'em and the World Series of Poker!

Course Overview

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

check-card-img

Intermediate R

check-card-img

Foundations of Probability in R

What You Will Learn

check-card-img

Learn strategies for answering probability questions in R by solving a variety of probability puzzles

check-card-img

This chapter will introduce some basic principles that will be used throughout the course, such as writing loops and functions

check-card-img

In this chapter, we explore games in which dice are rolled, including Yahtzee, Settlers of Catan, and Craps

check-card-img

The puzzles in this chapter were inspired by ideas encountered on the internet. In order to solve them, you will learn to combine tools such as nested for loops, and the functions round, identical, and sapply

check-card-img

We will learn to code for win probabilities with any given number of outs, and also explore a more theoretical model of poker known as the von Neumann model

Course Instructors

Author Image

Peter Chi

Assistant Professor of Statistics, Villanova University

Peter Chi is an Assistant Professor in the Department of Mathematics and Statistics at Villanova University. His primary research focus is centered on statistical methodologies in phylogenetics and e...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover