機率

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

課程時間為週二56節+週五第2節,週五第2節為助教時間與考試安排。請同學於每週二12:30提前至教室(工四館103)開始上課。

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

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