关于此课程： This course will provide you with a basic, 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!
此课程适用人群： 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 absolutely no previous knowledge of statistics is required to follow it. The acquired knowledge can be applied in any field that involves uncertainty.
教学方： Karl Schmedders, Professor of Quantitative Business Administration
Department of Business Administration
| 级别 | 初级 |
| 承诺学习时间 | You will have to invest about 3-4 hours per module to acquire the taught knowledge. |
| 语言 | 英语（English） |
| 硬件要求 | You will need Excel or a similar spreadsheet program, such as the Google Docs spreadsheet. |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
- Reading: Script: Part 1
- 视频: Introduction
- 视频: Definition and Rules
- 视频: A First Look at Statistical Independence
- 视频: Subjective Probabilities
- 视频: Empirical Probabilities: Benford's Law
- 视频: Exercise
- Reading: Script: Part 2
- 视频: Definition
- 视频: Multiplication Rules
- 视频: Probability Tables
- 视频: Bayes Rule
- 视频: Exercise
- 视频: The Monty Hall Problem
- 视频: Structuring Risks: Part 1
- 视频: Structuring Risks: Part 2
- 视频: The Prosecutor's Fallacy
- 视频: The Sad Story of Sally Clark
- Reading: Script: Part 4
- 视频: Expected Value
- 视频: Measures of Dispersion
- 视频: Application: Financial Model
- 视频: Binomial Distribution
- 视频: Application: Airline Overbooking
- 视频: Exercise 1
- 视频: Exercise 2
- Reading: Script: Part 5
- 视频: Normal Distribution
- 视频: Calculating Normal Probabilities
- 视频: Calculations with the Normal Distribution
- 视频: Application of the Normal Distribution
- 视频: Exercise
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Great course, thanks a lot! Incredible simple and understandable presentation of the material.
I am Mathematics Professor in an Engineering College in India. Karl and Jose are excellent. Karl show me a new way of teaching, and it is fun to learn. Since its a basic course I know the concepts, but still it is interest to learn. This course give me some refreshment in probability concepts. The title of the course and the content is superbly matching. Hats off to Karl, Jose. Salutes to Coursera for give me an opportunity like this.
A really no-nonsense course that helped me reacquaint myself with the basics of probability. I found the Professor to be extremely knowledgeable, convivial and enthusiastic. Truly, the professor knew his probability. He was able to explain concepts with a childish ease and amazing flow. The course is also very well structured, transitioning from discrete random variables to continuous random variables seamlessly. Personally, I would love to attend more MOOCs conducted by this Professor. A very good course for beginners as well - not a lot of prior knowledge is required.
WZ
Simply excellent. I had a lot of fun learning about probabilities and clarifying some notions that I missunderstood.
Thank you very much