Об этом курсе: 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!
Для кого этот курс: 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.
Преподаватели: Karl Schmedders, Professor of Quantitative Business Administration
Department of Business Administration
| Уровень | Начинающий |
| Выполнение | You will have to invest about 3-4 hours per module to acquire the taught knowledge. |
| Язык | Английский |
| Требования к аппаратным средствам | You will need Excel or a similar spreadsheet program, such as the Google Docs spreadsheet. |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Reading: Script: Part 1
- Видео: Introduction
- Видео: Definition and Rules
- Видео: A First Look at Statistical Independence
- Видео: Subjective Probabilities
- Видео: Empirical Probabilities: Benford's Law
- Видео: Exercise
- Reading: Script: Part 2
- Видео: Definition
- Видео: Multiplication Rules
- Видео: Probability Tables
- Видео: Bayes Rule
- Видео: Exercise
- Видео: The Monty Hall Problem
- Видео: Structuring Risks: Part 1
- Видео: Structuring Risks: Part 2
- Видео: The Prosecutor's Fallacy
- Видео: The Sad Story of Sally Clark
- Reading: Script: Part 4
- Видео: Expected Value
- Видео: Measures of Dispersion
- Видео: Application: Financial Model
- Видео: Binomial Distribution
- Видео: Application: Airline Overbooking
- Видео: Exercise 1
- Видео: Exercise 2
- Reading: Script: Part 5
- Видео: Normal Distribution
- Видео: Calculating Normal Probabilities
- Видео: Calculations with the Normal Distribution
- Видео: Application of the Normal Distribution
- Видео: 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