當期課號 | 2667 | Course Number | 2667 |
---|---|---|---|
授課教師 | 謝富雄 | Instructor | HSIEH,FU SHIUNG |
中文課名 | 機率與統計 | Course Name | Probabilities and Statistics |
開課單位 | 資訊工程系(四日)二C | Department | |
修習別 | 必修 | Required/Elective | Required |
學分數 | 3 | Credits | 3 |
課程目標 | 本課程主要介紹基本機率觀念及隨機變數函數,其主要涵蓋的範圍有: 1. 簡介 2. 基本機率 3. 單一隨機變數 4. 隨機變數函數 5. 雙隨機變數 6. 函數及期望值 7. 特徵函數 8. 多隨機變數 |
Objectives | This course gives an introduction to the concepts of parability and the functions of random Variables. Topics to be covered are: 1. Introduction. 2. Basic Probability. 3. A Single Random Variable. 4. Functions of a Random Variable and Expectations. 5. Two Random Variables. 6. Expectations and Functions. 7. Characteristic Function. 8. Multiple Random Variables. |
教材 | Teaching Materials | ||
成績評量方式 | Test and home work 40%, Midterm exam. 30%, Final exam. 30% | Grading | Test and home work 40%, Midterm exam. 30%, Final exam. 30% |
教師網頁 | http://www.cyut.edu.tw/~fshsieh/ | ||
教學內容 | 1. Introduction to Probability Theory 2. Set definition and operations 3. Probability introduced through sets and relative frequency 4. Joint and Conditional Probability 5. Independent 6. Random Variables 7. Distribution Function 8. Density Function 9. Gaussian Random Variables 10.Conditional Distribution and Density Functions 11. Expectation 12. Moments 13. Transformation of a Random Variable 14. Multiple Random Variables 15. Joint Distribution and Its Properties 16. Joint Density and Its Properties 18. Conditional Distribution and Density |
Syllabus | 1. Introduction to Probability Theory 2. Set definition and operations 3. Probability introduced through sets and relative frequency 4. Joint and Conditional Probability 5. Independent 6. Random Variables 7. Distribution Function 8. Density Function 9. Gaussian Random Variables 10.Conditional Distribution and Density Functions 11. Expectation 12. Moments 13. Transformation of a Random Variable 14. Multiple Random Variables 15. Joint Distribution and Its Properties 16. Joint Density and Its Properties 18. Conditional Distribution and Density |