Probability Made Easy
4.4 (9 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
811 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Probability Made Easy to your Wishlist.

Add to Wishlist

Probability Made Easy

Learn fundamental notions of discrete probability theory
4.4 (9 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
811 students enrolled
Created by Dynamic Lectures
Last updated 1/2016
English
Current price: $10 Original price: $20 Discount: 50% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 2 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • 12 lectures with theory and motivations that every student taking a course in probability theory has to know (lectures 2, 3, 6-14, 16, 21)
  • 7 lectures with fun examples you'll never forget (lectures 4, 5, 15, 17-20)
  • learn how to estimate bankruptcy risks (lecture 17)
  • learn that in theory you can always win in a fair game, but in practice you should not attempt to do so (lecture 9)
  • learn how to solve the problem from introduction (lecture 20)
  • learn a paradox that puzzles even professional mathematicians (lecture 19)
View Curriculum
Requirements
  • no materials/software are required
  • lectures 1-11, 13, 14, 16, 18-20 require only arithmetic skills
  • lectures 12, 15 , 17 require some knowledge of calculus
Description

This dynamic course is the first one in a series of courses that covers a complete course in probability theory taught in the US colleges.

If you take this course, you can count on my help. I will answer every single question you post on the discussion board.

If you are looking for an effective way to learn fundamental notions of probability theory, I guarantee that this course is for you. In fact, I offer a 30 day money back guarantee.

In this course you will learn fundamental notions of discrete probability theory such as sample space, distribution function, probability, and random variables.

You will learn how to use diagrams and trees to compute probabilities of various events. In particular, you will

  • learn how to estimate bankruptcy risks,
  • learn that in theory you can always win in a fair game, but in practice you should not attempt to do so,
  • learn how to solve the problem from introduction,
  • learn a paradox that puzzles even professional mathematicians.


Who is the target audience?
  • students taking a regular course in probability theory
  • anyone interested in probability theory
Students Who Viewed This Course Also Viewed
Curriculum For This Course
22 Lectures
01:48:35
+
Welcome to the Course
21 Lectures 01:47:35

Sample Space
05:34

Sample space
3 questions

Distribution function and probability of events
05:44

These questions are just for fun! Try to guess the right answers. We will discuss these problems in detail in Lecture 3.

Of course, if you can solve these problems right away - that's just fantastic!

Old problems
2 questions

D’Alambert paradox
04:52

Subtle choices of sample spaces
2 questions

Subtle choices of sample spaces
04:54

Uniform distributions
1 question

Uniform distributions
04:13

Unions of events
1 question

Unions of events
04:16

Probability of unions of events
1 question

Probability of disjoint unions of events
06:37

Doubling strategy
4 questions

P(sample space) = 1. Paradox of the doubling strategy
04:30

Complements
1 question


Summary of properties of probability
1 question

Summary of properties of probability P
04:30

Probability of the union of any two events
1 question

Probability of the union of any two events
07:39

Further properties of probability function
04:06

Tree diagrams
2 questions

Tree diagrams
05:38

A trick for solving infinite tree problems
2 questions

A trick for solving infinite tree problems
04:53

Calculating probabilities with trees
2 questions

Calculating probabilities with trees
05:13

Risk Management
2 questions

Risk management
04:01

The Gambler's ruin problem
3 questions

The Gambler’s ruin problem
06:34

A problem with no definitive solution
1 question

A problem with no definitive solution
06:34


Random variables
04:54
+
Thank you!
1 Lecture 00:00
Thank you!
1 page
Frequently Bought Together
About the Instructor
Dynamic Lectures
4.5 Average rating
30 Reviews
3,017 Students
6 Courses

I am a professional mathematician. As a mathematician I worked in US, Mexico, Japan, Canada and Germany. I am an author of 16 research papers published in internationally renowned journals.

I taught courses ranging from middle school to PhD level, including such high level courses as Topological Quantum Field Theory, Moduli spaces of Riemann curves, and Topological Surgery Theory.

What you may expect from me is a well structured course with clearly explained notions and theory.