頑想學概率:機率一 (Probability (1))

  • 4.8
Approx. 9 hours to complete

Course Summary

This course is an introduction to probability theory, covering topics such as random variables, independence, conditional probability, and Bayes' theorem.

Key Learning Points

  • Learn the fundamental concepts and techniques of probability theory
  • Apply probability theory to solve real-world problems
  • Understand the mathematical foundations of probability theory

Related Topics for further study


Learning Outcomes

  • Understand the basic concepts and techniques of probability theory
  • Apply probability theory to solve real-world problems
  • Develop a solid foundation for further study in probability theory

Prerequisites or good to have knowledge before taking this course

  • Basic algebra and calculus
  • Familiarity with basic probability concepts

Course Difficulty Level

Intermediate

Course Format

  • Online self-paced course
  • Video lectures
  • Interactive quizzes

Similar Courses

  • Statistics and Probability
  • Data Science Probability

Related Education Paths


Related Books

Description

這是一個機率的入門課程,著重的是教授機率基本概念。課程內容和作業都使用生活化的例子,希望讓同學們快樂學習、快速培養同學們對於機率的洞察力與應用能力。

Outline

  • WEEK 1
  • 課程簡介
  • 機率一、二哪裡不一樣?
  • 1-0:咱們先聊聊,這是門什麼樣的課呢?
  • 1-1:機率概論
  • 1-2.a:集合論 (上)
  • 1-2.b:集合論 (下)
  • 1-3.a:機率名詞 (上)
  • 1-3.b:機率名詞 (下)
  • NTU MOOC 課程問題詢問與回報機制
  • 第一週作業 A:告訴我們你是什麼樣的學生
  • 第一週作業 B
  • WEEK 2
  • 2-0:咱們聊聊,是學習,還是應付?
  • 2-1.a:機率公理性質 (上)
  • 2-1.b:機率公理性質 (中)
  • 2-1.c:機率公理性質 (下)
  • 2-2.a:條件機率 (上)
  • 2-2.b:條件機率 (中)
  • 2-2.c:條件機率 (下)
  • 第二週作業
  • WEEK 3
  • 3-0:咱們聊聊,常見的錯誤?學習的關鍵?
  • 3-1.a:機率的獨立性 (上)
  • 3-1.b:機率的獨立性 (下)
  • 3-2:圖解繁複機率
  • 3-3.a:數數算機率 (上)
  • 3-3.b:數數算機率 (下)
  • 第三週作業
  • WEEK 4 (1)
  • 4-0:咱們聊聊,如何幫自己面對未來挑戰?
  • 4-1.a:隨機變數 (上)
  • 4-1.b:隨機變數 (中)
  • 4-1.c:隨機變數 (下)
  • 4-2.a:累績分佈函數 CDF (上)
  • 4-2.b:累績分佈函數 CDF (中)
  • 4-2.c:累績分佈函數 CDF (下)
  • 4-3:機率質量函數 PMF
  • 第四週作業
  • WEEK 4 (2)
  • 4-4.a:離散機率分佈 I (上)
  • 4-4.b:離散機率分佈 I (下)
  • 4-5.a:離散機率分佈 II (上)
  • 4-5.b:離散機率分佈 II (中)
  • 4-5.c:離散機率分佈 II (下)
  • 第四週作業(離散機率分佈)

Summary of User Reviews

Discover the fundamentals of probability in this course on Coursera. Students have found the course to be informative and engaging with a lot of hands-on practice. One key aspect that many users thought was good was the clear explanations of complex concepts.

Pros from User Reviews

  • Informative and engaging course
  • Lots of hands-on practice
  • Clear explanations of complex concepts

Cons from User Reviews

  • Some users found the course to be too basic
  • The pace may be too slow for some advanced learners
  • The quizzes can be challenging
Chinese (Traditional)
Available now
Approx. 9 hours to complete
葉丙成
National Taiwan University
Coursera

Instructor

葉丙成

  • 4.8 Raiting
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