À propos de ce cours : 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!
Les destinataires de ce cours : 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.
Enseigné par : Karl Schmedders, Professor of Quantitative Business Administration
Department of Business Administration
| Niveau | Beginner |
| Engagement | You will have to invest about 3-4 hours per module to acquire the taught knowledge. |
| Langue | English |
| Matériel requis | You will need Excel or a similar spreadsheet program, such as the Google Docs spreadsheet. |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
- Reading: Script: Part 1
- Vidéo: Introduction
- Vidéo: Definition and Rules
- Vidéo: A First Look at Statistical Independence
- Vidéo: Subjective Probabilities
- Vidéo: Empirical Probabilities: Benford's Law
- Vidéo: Exercise
- Reading: Script: Part 2
- Vidéo: Definition
- Vidéo: Multiplication Rules
- Vidéo: Probability Tables
- Vidéo: Bayes Rule
- Vidéo: Exercise
- Vidéo: The Monty Hall Problem
- Vidéo: Structuring Risks: Part 1
- Vidéo: Structuring Risks: Part 2
- Vidéo: The Prosecutor's Fallacy
- Vidéo: The Sad Story of Sally Clark
- Reading: Script: Part 4
- Vidéo: Expected Value
- Vidéo: Measures of Dispersion
- Vidéo: Application: Financial Model
- Vidéo: Binomial Distribution
- Vidéo: Application: Airline Overbooking
- Vidéo: Exercise 1
- Vidéo: Exercise 2
- Reading: Script: Part 5
- Vidéo: Normal Distribution
- Vidéo: Calculating Normal Probabilities
- Vidéo: Calculations with the Normal Distribution
- Vidéo: Application of the Normal Distribution
- Vidéo: Exercise
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It is a great course that teaches you HOW to think about probability and really helped me find new ways to think of probability and Maths. Greatly appreciate the work put in by Karl Schmedders and Jose. Their enthusiasm for the subject is infectious even in a MOOC. :)
Thank you!
Excellent course to introduce or review concepts of statistics and probability. I found the calculations of probabilities much easier to do than before starting the course and following the Excel functions. I also loved the energy and charisma of both Professor Karl and assistant Jose as well as the types of exercises (e.g. Biles Olympic performances or the probabilities to survive being hit by an asteroid). Please, please, please, do another on-line course like this one for next level statistics. I would love to learn more about Bayesian applications, for example, and through your teachings. In short, I highly recommend this course for a refresher of statistics and for learning statistics in a fun an applicable way. Cheers!
BS
Good introductory course!