機率
Probability
| 節 | 週二 | 週五 |
|---|---|---|
2 09:00–09:50 | 機率 EDB27 | |
N 12:20–13:10 | 機率 EDB27 3 節連堂 | |
5 13:20–14:10 | ||
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
Probability is a course to learn how to deal with the issues of uncertainty with broad applications in the areas of engineering, science, finance, etc. This course will guild you to view the world with probabilistic thinking and learn the skills to solve the engineering problems subject to the impacts of uncertainty, such as noise. This course will establish your mathematical skills for handling the issues of Big Data analytics in the future, and learn MATLAB or R programming skills
微積分
Quiz: 30% Mid Term:30% Final exam: 40%
- UNIT I: PROBABILITY MODELS AND DISCRETE RANDOM VARIABLES
- UNIT II: GENERAL RANDOM VARIABLES
- UNIT III: RANDOM PROCESSES
- UNIT IV: LAWS OF LARGE NUMBERS AND INFERENCE
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Dimitri P. Bertsekas and John N. Tsitsiklis, Introduction to Probability (2nd edition), 2008 Roman Vershynin, High-Dimensional Probability: An Introduction with Applications in Data Science (1st edition), Cambridge University Press (September 27, 2018) Joseph K. Blitzstein and Jessica Hwang, Introduction to Probability (Second Edition), Chapman and Hall/CRC (February 8, 2019)
- 地點
- 工程四館 804
- 時間
- Friday, 13:00 to 14:00
- 聯絡方式
- wang@nycu.edu.tw