本課程將帶領同學學習機率學的基本理論及其應用，主要內涵包括：認識機率空間的定義，了解並複習離散型分佈的相關概念，學習連續型分佈、多變數分佈與變數轉換、以及中央極限定理等相關理論及其應用。This course will lead students to learn the basic theory of probability and its application. The main contents include: understanding the definition of probability space, understanding and reviewing the related concepts of discrete distribution, learning continuous distribution, multivariate distribution and variable conversion, and the central limit Theorems and other related theories and their applications.
The main purpose of probability is to introduce and analyze the structure of the opportunity and its related variables and letters number. This knowledge is the subject of many further studies on the subject of uncertainty basis. This course guides students to come into contact with some interesting theories and examples.
Hogg, R.V.and E.A. Tanis and D.L.Zimmerman : Probability and Statistical Inference (9th edition).
Hogg, R.V. and E.A. Tanis and D.L. Zimmerman: Probability and Statistical Inference (9th edition).
|評分項目 Grading Method||配分比例 Grading percentage||說明 Description|