建立學生對於機率概念、隨機變數、機率分配、及期望值性質等相關知識有基本的認識，培養未來修習數理統計課程的能力。 內容包括排列組合、機率公設、條件機率與獨立、單一離散隨機變數、單一連續隨機變數、多個變量隨 機變數、期望值及轉換

Establish students to have basic understanding of related knowledge such as probability concepts, random variables, chance allocation, and expected value properties, and cultivate the ability to study mathematical and statistical courses in the future. Contents include arrangement combination, probability policing, conditional probability and independence, single dispersed random variables, single continuous random variables, multiple variables, expected values ​​and conversions

本課程是第一個機率統計數理基礎課程，內容包括機率概念、隨機變數、機率分配、與期望值。本課程最主要在訓練學生把連加與積分方法，運用在計算單一或多個隨機變數時的機率和期望值的計算，並從這個過程中具體瞭解機率的本質。

This course is the first chance statistical mathematical basic course, including the concept of chance, random variables, chance allocation, and expected values. This course mainly trains students in the calculation of the probability and expected value of one or more random variables in a single, and understand the nature of the probability from this process.

S. Ross (2019) A First Course in Probability (10th Edition), Pearson.
S. Ghahramani (2016) Fundamentals of Probability with Stochastic Processes (3rd Edition), CRC Press.

S. Ross (2019) A First Course in Probability (10th Edition), Pearson.
S. Ghahramani (2016) Fundamentals of Probability with Stochastic Processes (3rd Edition), CRC Press.