本課程提供機率論之基本介紹，使學生對機率的意義及其數學理論能有基本但清楚的瞭解，以期未來可進一步應用於解決不同學科領域之問題。本課程之主題包括機率公設、條件機率與獨立性、隨機變數與機率分配、期望值與變異數、極限定理。

This course provides a basic introduction to the probability theory, so that students can have a basic but clear understanding of the meaning of probability and its mathematical theory, so that they can further apply it to solve problems in different subject areas in the future. The topics of this course include probability policing, conditional probability and independence, random variables and probability allocation, expected values ​​and variations, and extreme qualities.

機率學主要的目的在於介紹和解析機會的結構及其相關之變數與函
數。
這方面的知識為許多進一步研究涉不確定性因素問題的學問的
基礎。本課程引導同學接觸一些有趣的理論和實例。

The main purpose of opportunity learning is to introduce and analyze the structure of opportunities and their related variables and functions.
Number.
This knowledge is a study of many further research on the problems of uncertain factors.
Basic. This course guides students to come across some interesting theories and examples.

1. Sheldon Ross (2020). A First Course in Probability. Global Edition. 10th edition. Pearson.
2. Wackerly, D. D., Mendenhall, W. and Scheaffer, R. L. (2008). Mathematical Statistics with Applications. 7th edition. Brooks/Cole Cengage Learning.

1. Sheldon Ross (2020). A First Course in Probability. Global Edition. 10th edition. Pearson.
2. Wackerly, D. D., Mendenhall, W. and Scheaffer, R. L. (2008). Mathematical Statistics with Applications. 7th edition. Brooks/Cole Cengage Learning.