About this course: 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。
Created by: National Taiwan University
Taught by: Prof. 葉丙成 Ping-Cheng Yeh (Benson) , 台大電機系副教授、台大MOOC計畫執行長
| Language | Chinese (Traditional), Subtitles: Chinese (Simplified) |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Week 5
歡迎各位小夥伴加入「頑想學概率：機率二」！本課程延續「頑想學概率：機率一」，是前者的進階課程。在這一週我們將介紹專於於連續隨機變數的一個函數──機率密度函數 PDF ──並介紹連續機率分布。
5 videos, 1 reading
Graded: 第五週作業
WEEK 2
WEEK 6
本週我們將延續上週還沒說完的連續機率分布，並介紹離散的隨機變數期望值。
9 videos
Graded: 第六週作業
WEEK 3
WEEK 7
上週提到離散的隨機變數期望值，本週我們會談到離散的隨機變數期望值該怎麼算出來？在 7-2 和 7-3 我們會了解隨機變速的函數、條件的幾率分佈、和失憶性──之前我們有提到 Geometric Distribution 跟Exponential 都是失憶性的這種幾率分佈，那什麼叫失憶性 (Memoryless) 呢？
7 videos
Graded: 第七週作業
WEEK 4
WEEK 8
前面幾個禮拜我們所考慮的問題都是只有一個隨機變數的狀況，這週我們要介紹聯合機率分布 (Joint probability distribution)、邊際機率分布 (Marginal probability distribution)，探討：如果有兩個隨機變數的話會有什麼不一樣的地方？期望值又是怎麼定義的？
8 videos
Graded: 第八週作業
WEEK 5
WEEK 9
頑想學概率最後一週課程，內容一樣有趣又充實！如果有好幾個隨機變數我們把它加在一起， 那加在一起之後產生的這個新的隨機變數，它的這個機率分布到底是什麼呢？MGF (Moment Generating Function) 是什麼？該怎麼用它找到隨機變數的機率分布？還有一定要知道的機率學中最重要的「萬佛朝宗」定理──中央極限定理！
9 videos
Graded: 第九週作業
Graded: 期末考
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Ratings and Reviews
对基本概率的理解更加深入了，但有些参数估计等期待有课程能够深入学习下！！！！！！
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XJ
老师上课很生动