# 學生對 苏黎世大学 提供的 An Intuitive Introduction to Probability 的評價和反饋

4.7
1,095 個評分
444 條評論

## 課程概述

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!...

## 熱門審閱

NS
2017年9月16日

Superb course. I am very impressed with the way the faculty explained real world examples through the probability concepts. I wish we can have more courses from him on statistics and machine learning.

MI
2020年8月9日

This course has made me fall in love with probability. Highly recommended for anyone who dislikes probability. You will end up loving probability later. Great instructor and quality lecture material.

## 201 - An Intuitive Introduction to Probability 的 225 個評論（共 442 個）

2019年1月22日

A spectacular course to make you start wondering about chances and the way you are taking decisions!

2021年1月8日

Very nice MOOC that helps me refreshing my knowledge and terminology of statistics and probability.

2020年7月7日

The main presenter was very good. Worth reading the course notes as instructed before each lecture.

2018年2月2日

Very easy to understand the explanations. The examples are also intuitive and easy to follow along.

2020年11月19日

I'm excited about statistics and probability now! Thanks so much Karl for your engaging classes :)

2020年6月4日

Karl is a really great lector, I appreciate his jokes so much! This course leaves me in great awe!

2018年1月8日

The best course I have taken on probability. The intuition for every concept was awesome. Thanks.

2018年9月24日

Nice way to get the knowledge of probability. Beginners must try this if they HATE probability.

2018年11月1日

Great course, thanks a lot! Incredible simple and understandable presentation of the material.

2020年7月5日

Karl Shmedders is a wonderful instructor and loves statistics. His enthusiasm is contagious!

2018年12月14日

Engaging, entertaining, taught as if teaching to students and not mindless drones. Great fun!

2019年5月13日

Bonne introduction qui permet d'aborder dans sa globalité les notions de base sur les Proba.

2017年2月21日

Very interesting introduction to probabilities.

Satisfactorily explained and quite enjoyable.

2019年12月29日

Very good step-by-step introduction to Statistics and Probability. Thanks for your efforts!

2019年12月26日

I really enjoyed the course and the exercises. Thank you so much for an enlightening course

2017年12月10日

2017年8月17日

Best course for those who wants to understand the real time implementations of probability.

2017年7月24日

Mr Karl is passionate and I had a great experience in this class. Thank you very very much.

2017年11月25日

A great introduction to the subject, very well taught and with engaging and fun exercises.

2017年9月21日

very usefull to develop intuitive skills about probaIlity, to understand beyond the rules.

2017年5月5日

Great intro to probability concepts and Karl is a very personable and interesting teacher

2019年7月28日

I think it's best course ever. It was good with a lot of good examples and easy to follow

2017年6月12日

If you want to have fun with probability the course of Prof. Karl Shmedders is for you.

2017年11月25日

Very good course but better have a scientific background to understand clearly week 5.

2020年6月8日

Enjoyed this course a lot. Very informative and engaging. Thank you,

Karl Schmedders!