機率空間,離散型分佈,連續型分佈,多變數分佈,變數轉換,中央極限定理.Probability space, discrete distribution, continuous distribution, multi-variable distribution, variable conversion, central limit theorem.
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 probability science is to introduce and analyze the structure of chance and its related variables and functions.
Count.
This knowledge provides a basis for further research on issues involving uncertainty factors.
Basics. This course introduces students to some interesting theories and examples.
Hogg, R.V.and E.A. Tanis : Probability and Statistical Inference (8th edition).
Hogg, R.V.and E.A. Tanis: Probability and Statistical Inference (8th edition).
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 兩次小考兩次小考 Two quizzes |
30 | 各15% |
| 期中考期中考 midterm exam |
25 | |
| 期末考期末考 final exam |
25 |
