About this course: This course will provide you with an intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will earn a "toolbox" of methods to deal with uncertainty in your daily life. The course is split in 5 modules. In each module you will first have an easy introduction into the topic, which will serve as a basis to further develop your knowledge about the topic and acquire the "tools" to deal with uncertainty. Additionally, you will have the opportunity to complete 5 exercise sessions to reflect about the content learned in each module and start applying your earned knowledge right away. The topics covered are: "Probability", "Conditional Probability", "Applications", "Random Variables", and "Normal Distribution". You will see how the modules are taught in a lively way, focusing on having an entertaining and useful learning experience! We are looking forward to see you online!
Who is this class for: This course is aimed for all those who want to learn how to improve decisions that involve some uncertainty. The course is constructed such that no previous knowledge of statistics is required to follow it. The acquired knowledge can be applied in any field that involves uncertainty.
Taught by: Karl Schmedders, Professor of Quantitative Business Administration
Department of Business Administration
| Level | Beginner |
| Commitment | You will have to invest about 3-4 hours per module to acquire the taught knowledge. |
| Language | English |
| Hardware Req | You will need Excel or a similar spreadsheet program, such as the Google Docs spreadsheet. |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
- Video: Welcome
- Reading: Script: Part 1
- Video: Introduction
- Video: Definition and Rules
- Video: A First Look at Statistical Independence
- Video: Subjective Probabilities
- Video: Empirical Probabilities: Benford's Law
- Video: Exercise
- Video: Intuition
- Reading: Script: Part 2
- Video: Definition
- Video: Multiplication Rules
- Video: Probability Tables
- Video: Bayes Rule
- Video: Exercise
- Video: The Birthday Problem
- Video: The Monty Hall Problem
- Video: Structuring Risks: Part 1
- Video: Structuring Risks: Part 2
- Video: The Prosecutor's Fallacy
- Video: The Sad Story of Sally Clark
- Video: Discrete Random Variables
- Reading: Script: Part 4
- Video: Expected Value
- Video: Measures of Dispersion
- Video: Application: Financial Model
- Video: Binomial Distribution
- Video: Application: Airline Overbooking
- Video: Exercise 1
- Video: Exercise 2
- Video: Continuous Random Variables
- Reading: Script: Part 5
- Video: Normal Distribution
- Video: Calculating Normal Probabilities
- Video: Calculations with the Normal Distribution
- Video: Application of the Normal Distribution
- Video: Exercise
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Before this course, I hated probability exactly like Karl mentioned in the beginning of the course. But now it's really fun and interesting to look things from probability perspective. Thanks Karl for the course. Thanks Jose for interesting problems and way to solve them.
I look forward to further courses from Karl, please inform me whenever you are conducting a new course.
This COURSE is quite interesting to learn many new thing which has explained very interestingly by karl
but add more on this as many topics are missing in this course and teach more on excel part
I never thought probability could be interesting ! Great stuff.
SS
Although very simple it delivers what it promises