This course, "Probability (1)," offered by National Taiwan University, is an engaging introduction to the principles of probability. With a focus on real-life examples, this course aims to make learning enjoyable and to rapidly cultivate students' insight and practical application abilities in probability.
The course covers a variety of topics essential to understanding probability, including probability theory, set theory, probability terminology, conditional probability, independence, graphical representation of probabilities, and more. Students will also have the opportunity to engage in reflective exercises to enhance their learning experience.
Throughout the course, students will complete weekly assignments and engage in self-reflection to reinforce their understanding of the material and apply their knowledge in practical scenarios. By the end of the course, students will have gained a solid foundation in probability and be equipped with the necessary skills to analyze and apply probability concepts in various contexts.
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This course provides a comprehensive introduction to probability, covering topics such as probability theory, set theory, conditional probability, independence, and practical applications. Through engaging real-life examples, students will quickly develop insight and practical skills in probability.
This module introduces the course and covers the basic concepts of probability. Topics include an overview of probability, set theory, probability terminology, and engaging assignments to reinforce learning.
Explore the properties of probability and delve into conditional probability. This module also includes reflective exercises to enhance your learning experience.
Gain an understanding of common mistakes and key aspects of probability. Topics include independence, graphical representation of probabilities, and practical exercises to reinforce learning.
Discover random variables, cumulative distribution functions, and probability mass functions. Engage in practical exercises to apply your knowledge.
Delve into discrete probability distributions, understanding their characteristics and practical applications. Complete engaging assignments to reinforce your understanding of these concepts.
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