Probability 1 - 40 Solved Problems - The Math of Counting
3.7 (3 ratings)
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Probability 1 - 40 Solved Problems - The Math of Counting

All basic techniques required to solve basic probability problems!
3.7 (3 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.
16 students enrolled
Created by Duy Tran
Last updated 8/2016
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
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Be able to do basic probability problems using Combinatorial Analysis
  • Mastering Axioms of Probability and Propositions
  • Mastering Conditional Probability and Independence
View Curriculum
Requirements
  • You just need algebra skills in order to take this course!
Description

Welcome to Probability 1 – 40 solved problems step-by-step solutions. This class is designed to help students who are struggling with an introductory probability course. Most of the time, students are not having enough chances to see the instructors to solve the problems step-by-step, but instead the instructors are giving out to them a ton of theoretical derivations. Therefore, in this course I will guide you through the most basics 40 fundamental problems and how to approach them. Before each question, you will be introduced with a quick background and any relevant formula required for the problems. Any student can take this class as it can also be an overall review of the basics probability theory. In order to start this course, you just need some basics knowledge for algebras and that’s it! After you complete this course, you will be surely to be prepared to move to higher probability and statistics level courses. The course is designed to be finished in a week to master the basics concepts including the counting principle, conditional probability, axiom of probability, and independent event.


Who is the target audience?
  • Anyone starts taking Probability courses should master this course for plenty of solve problems in detail steps.
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Curriculum For This Course
15 Lectures
02:03:14
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Combinatorial Analysis
6 Lectures 51:23

Basics counting principle - Problem 1
05:35

Permutation - Problem 2-5
07:35

Combination 1 - Problem 6-9
09:36

Combination 2 - Problem 10-12
06:54

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Axioms of Probability
4 Lectures 30:39
Lecture 7: Intro to Sample Spaces & Events - Problem 18-19
08:25

Lecture 8: Axioms of Probability - Problem 20-21
08:33

Lecture 9: Axioms of Probability - Problem 22-24
06:49

Lecture 10: Axioms of Probability - Problem 25-28
06:52
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Conditional Probability & Independent Events
5 Lectures 41:12
Intro to Conditional Probability - Problem 29-31
10:04

Conditional Probability - Problem 32-34
09:45

Conditional Probability - Law of Total Probability - Problem 35-36
06:09

Intro to Independent Event - Problem 37-38
08:49

Independent Event - Continue - Problem 39-40
06:25
About the Instructor
Duy Tran
3.7 Average rating
3 Reviews
21 Students
2 Courses
Learn by Solving Problems!

My name is Duy, and I have a background in Electrical Engineering and Applied Mathematics. I love math and electronics, and I hope that my courses will provide you great hook to learn more about math and electronics.

I used to be struggled in many classes when I was a student, and the way I mastered my classes was that I practiced solving nearly 90% of the textbook's problems for each chapter. I realized that when I solved the problems, it helped me to learn and understand the theoretical results more easily. Again, I believe solving problem is an amazing tool in the learning process.