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.Opportunity space, dispersion type distribution, continuous type distribution, multiple variable number distribution, variable number conversion, central extreme qualification 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 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.
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 small exams |
30 | 各15% |
| 期中考期中考 Midterm exam |
25 | |
| 期末考期末考 Final exam |
25 | |
| 作業等平時成績作業等平時成績 Working equality and regular performance |
20 |
