Chevron Left
An Intuitive Introduction to Probability(으)로 돌아가기

취리히 대학교의 An Intuitive Introduction to Probability 학습자 리뷰 및 피드백

1,299개의 평가
514개의 리뷰

강좌 소개

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!...

최상위 리뷰


2017년 9월 16일

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.


2022년 4월 26일

Wow. What an amazing journey. Engaging, exciting, and as far from broring as it is possible while providing actual knowledge. Perfect balance. The only downside of this course is that is it too short.

필터링 기준:

An Intuitive Introduction to Probability의 518개 리뷰 중 301~325

교육 기관: Clarissa P

2021년 8월 16일

I​ learned a lot and the professor is really good in explaining things.

교육 기관: avik

2019년 8월 14일

Cleared my fear of probability !

I am not scared of probability anymore.

교육 기관: Javier A

2017년 4월 28일

Clear explanations, funny stories, and simple and useful calculations.

교육 기관: Yonghye K

2020년 5월 24일

It makes me break the thought that the probability is complex things.

교육 기관: Yi J

2017년 12월 27일

provide intuitive explanations and examples of the most famous cases.

교육 기관: Gema A

2017년 9월 14일

I like the course because it is taught in profound yet intuitive way.

교육 기관: Aayushi S

2020년 9월 20일

Karl is a passionate professor and it was a joy taking this course.

교육 기관: enrique a r

2019년 1월 5일

excelente introducción! Las explicaciones son muy claras y directas!

교육 기관: Ruba D

2017년 7월 6일

it was a very nice course that explained probability in a simple way

교육 기관: Ho Y C

2021년 8월 8일

The course is interesting and gives me a closer look in probability

교육 기관: Ho W

2018년 2월 24일

Very good introduction to probability with interesting application.

교육 기관: Jason C

2022년 3월 8일

Great instructor, walks through examples to make it understandable

교육 기관: Stefan W

2021년 5월 3일

highly inspiring course, i had a lot of fun! Thank your very much.

교육 기관: Daniel C E

2020년 7월 15일

Excellent course on probability with several application examples.

교육 기관: Robin B

2019년 9월 16일

Great lecturer! Makes it easy and fun to understand probabilities!

교육 기관: erik f

2022년 1월 4일

Great, it makes me understand about the probability applications.

교육 기관: רועי ס

2018년 3월 10일

Probability is useful and fun, and i'd like to learn more. Thanks

교육 기관: Marcus S

2017년 8월 19일

One of the best MOOCs I've done. Prof Smedders is just excellent.

교육 기관: Ahmed A

2017년 7월 26일

Great Course ... It made probability concepts easy to understand.

교육 기관: Johnny T

2017년 3월 22일

This short course offers informative and fun real world examples.

교육 기관: Supratim P

2017년 12월 2일

Good course to get examples on real life examples on probability

교육 기관: Ani I

2017년 12월 1일

I liked the instruction style and example used. Good refresher !

교육 기관: matthew s

2018년 4월 10일

I never thought probability could be interesting ! Great stuff.

교육 기관: Alphanso W

2020년 9월 13일

Very clear. I just wish the exercises were more challenging 😊

교육 기관: Malaika A T

2020년 9월 12일

Well explained. Develops interpretation skills on probability.