頑想學概率:機率二 (Probability (2))

  • 4.8
Approx. 12 hours to complete

Course Summary

This course is designed to give students a strong foundation in probability theory and statistics, with an emphasis on applications in engineering and the sciences.

Key Learning Points

  • Learn the fundamentals of probability theory and statistical inference
  • Apply probability theory to solve real-world problems in engineering and sciences
  • Develop skills in data analysis and statistical modeling

Job Positions & Salaries of people who have taken this course might have

    • USA: $67,000 - $115,000
    • India: ₹400,000 - ₹1,200,000
    • Spain: €25,000 - €45,000
    • USA: $67,000 - $115,000
    • India: ₹400,000 - ₹1,200,000
    • Spain: €25,000 - €45,000

    • USA: $60,000 - $110,000
    • India: ₹400,000 - ₹1,200,000
    • Spain: €25,000 - €45,000
    • USA: $67,000 - $115,000
    • India: ₹400,000 - ₹1,200,000
    • Spain: €25,000 - €45,000

    • USA: $60,000 - $110,000
    • India: ₹400,000 - ₹1,200,000
    • Spain: €25,000 - €45,000

    • USA: $100,000 - $200,000
    • India: ₹800,000 - ₹2,500,000
    • Spain: €45,000 - €90,000

Related Topics for further study


Learning Outcomes

  • Ability to use probability theory and statistical inference to solve problems
  • Skills in data analysis and statistical modeling
  • Strong foundation in probability and statistics

Prerequisites or good to have knowledge before taking this course

  • Basic calculus and linear algebra
  • Programming experience in Python or MATLAB

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced
  • Video Lectures
  • Programming Assignments
  • Quizzes
  • Final Exam

Similar Courses

  • Data Science Essentials
  • Statistics with R
  • Probability - The Science of Uncertainty and Data

Related Education Paths


Notable People in This Field

  • Statistician and Founder of FiveThirtyEight
  • Professor of Statistics and Political Science at Columbia University
  • Professor of Statistics at UC Berkeley

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。另外我們的作業將搭配臺大電機系所開發的多人競技線上遊戲方式,讓同學在遊戲中快樂的學習,快速培養同學們對於機率的洞察力與應用能力。

Outline

  • Week 5
  • 課程簡介
  • 機率一、二哪裡不一樣?
  • 5-0:咱們來聊聊
  • 5-1:機率密度函數 PDF
  • 5-2:連續機率分佈 I
  • NTU MOOC 課程問題詢問與回報機制
  • 投影片下載
  • 第五週作業
  • WEEK 6
  • 6-0:咱們聊聊,成功者的條件是什麼?
  • 6-1.a:連續機率分佈 II (上)
  • 6-1.b:連續機率分佈 II (中)
  • 6-1.c:連續機率分佈 II (下)
  • 6-1.d:連續機率分佈 II (末)
  • 6-2.a:期望值 I (上)
  • 6-2.b:期望值 I (中)
  • 6-2.c:期望值 I (下)
  • 6-2.d:期望值 I (末)
  • 第六週作業
  • WEEK 7
  • 7-0:咱們聊聊,每天都在忙,忙的有用嗎?
  • 7-1.a:期望值 II (上)
  • 7-1.b:期望值 II (下)
  • 7-2.a: 隨機變數之函數 (上)
  • 7-2.b: 隨機變數之函數 (下)
  • 7-3.a: 條件機率分佈與失憶性 (上)
  • 7-3b: 條件機率分佈與失憶性 (下)
  • 第七週作業
  • WEEK 8
  • 8-0:咱們聊聊,如何探索有意義的人生?
  • 8-1.a:聯合機率分佈 (上)
  • 8-1.b:聯合機率分佈 (中)
  • 8-1.c:聯合機率分佈 (下)
  • 8-1.d:聯合機率分佈 (末)
  • 8-2:邊際機率分佈
  • 8-3.a:雙變數期望值 (上)
  • 8-3.b:雙變數期望值 (下)
  • 第八週作業
  • WEEK 9
  • 9-1.a:隨機變數之和 (上)
  • 9-1.b:隨機變數之和 (下)
  • 9-2.a:MGF (上)
  • 9-2.b:MGF (中)
  • 9-2.c:MGF (下)
  • 9-3.a:多個隨機變數和 (上)
  • 9-3.b:多個隨機變數和 (下)
  • 9-4.a:中央極限定理-萬佛朝宗 (上)
  • 9-4.b:中央極限定理-萬佛朝宗 (下)
  • 第九週作業
  • 期末考

Summary of User Reviews

Discover the fascinating world of probability with this comprehensive course on Coursera. Students rave about the engaging and interactive format, making learning about probability fun and interesting.

Key Aspect Users Liked About This Course

Users found the course to be engaging and interactive, making learning about probability fun and interesting.

Pros from User Reviews

  • The course is well-structured, making it easy to follow and understand
  • The instructor is knowledgeable and explains concepts clearly
  • The exercises and quizzes are helpful in reinforcing the material
  • The course covers a wide range of topics in probability
  • The course is suitable for both beginners and advanced learners

Cons from User Reviews

  • Some users found the course to be too theoretical and lacking in practical applications
  • The pace of the course may be too slow or too fast for some learners
  • The course requires a strong background in mathematics and statistics
  • The peer grading system can be inconsistent and unfair
  • The course may not be suitable for those looking for a quick overview of probability
Chinese (Traditional)
Available now
Approx. 12 hours to complete
葉丙成
National Taiwan University
Coursera

Instructor

葉丙成

  • 4.8 Raiting
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