- Level Foundation
- المدة
- الطبع بواسطة National Taiwan University
-
Offered by
عن
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。الوحدات
課程介紹
2
Videos
- 課程簡介
- 機率一、二哪裡不一樣?
1
Readings
- NTU MOOC 課程問題詢問與回報機制
Week 5
1
Assignment
- 第五週作業
3
Videos
- 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
1
Readings
- 投影片下載
Week 6
1
Assignment
- 第六週作業
9
Videos
- 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)
Week 7
1
Assignment
- 第七週作業
7
Videos
- 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)
Week 8
1
Assignment
- 第八週作業
8
Videos
- 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)
Week 9
2
Assignment
- 第九週作業
- 期末考
9
Videos
- 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)
Auto Summary
Embark on a foundational journey into the world of probability with "頑想學概率:機率二 (Probability (2))," a beginner-friendly course designed to introduce you to the fundamental concepts of probability. This course, offered by Coursera, is perfect for those looking to gain insights into probability and its practical applications. Led by expert instructors, the course uniquely combines traditional teaching methods with an engaging, interactive approach. You'll have the opportunity to reinforce your learning through assignments that are integrated with a multiplayer online game developed by the National Taiwan University of Electrical Engineering. This innovative method ensures that you not only understand theoretical concepts but also develop a keen insight and application skills in a fun and dynamic environment. The course is intended for learners at the foundational level, making it accessible for anyone new to the subject. Although the exact duration is not specified, the flexible subscription options, including a Starter plan, allow you to learn at your own pace. Ideal for students, professionals, or anyone with an interest in mathematics and statistics, this course promises a comprehensive and enjoyable learning experience in the domain of probability.

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