機率
Probability
| 節 | 週二 | 週五 |
|---|---|---|
2 09:00–09:50 | 機率 ED301（光復） | |
5 13:20–14:10 | 機率 ED301（光復） 2 節連堂 | |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
Probability and statistics: concepts and calculations.
Linear Algebra, Calculus
無備註
E3 NYCU web
Assignments: 15 %, Midterm:30%, Final : 55%
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | 1.1 Sets 1.2 Probability Models 1.3 Conditional Probability 1.4 Total Probability Theorem and Bayes’ Rule 1.5 Independence 1.6 Counting 2023-02-14(二),2023-02-17(五) |
| 第 2 週 | 1.1 Sets 1.2 Probability Models 1.3 Conditional Probability 1.4 Total Probability Theorem and Bayes’ Rule 1.5 Independence 1.6 Counting 2023-02-21(二),2023-02-24(五) |
| 第 3 週 | 1.1 Sets 1.2 Probability Models 1.3 Conditional Probability 1.4 Total Probability Theorem and Bayes’ Rule 1.5 Independence 1.6 Counting 2023-02-28(二),2023-03-03(五) |
| 第 4 週 | 2.1 Basic Concepts 2.2 Probability Mass Functions 2.3 Functions of Random Variables 2.4 Expectation, Mean, and Variance 2.5 Joint PMFs of Multiple Random Variables 2.6 Conditioning 2.7 Independence 2023-03-07(二),2023-03-10(五) |
| 第 5 週 | 2.1 Basic Concepts 2.2 Probability Mass Functions 2.3 Functions of Random Variables 2.4 Expectation, Mean, and Variance 2.5 Joint PMFs of Multiple Random Variables 2.6 Conditioning 2.7 Independence 2023-03-14(二),2023-03-17(五) |
| 第 6 週 | 2.1 Basic Concepts 2.2 Probability Mass Functions 2.3 Functions of Random Variables 2.4 Expectation, Mean, and Variance 2.5 Joint PMFs of Multiple Random Variables 2.6 Conditioning 2.7 Independence 2023-03-21(二),2023-03-24(五) |
| 第 7 週 | 3.1 Continuous Random Variables and PDFs 3.2 Cumulative Distribution Functions 3.3 Normal Random Variables 3.4 Joint PDFs of Multiple Random Variables 3.5 Conditioning 3.6 The Continuous Bayes’ Rule 2023-03-28(二),2023-03-31(五) |
| 第 8 週 | 3.1 Continuous Random Variables and PDFs 3.2 Cumulative Distribution Functions 3.3 Normal Random Variables 3.4 Joint PDFs of Multiple Random Variables 3.5 Conditioning 3.6 The Continuous Bayes’ Rule 2023-04-04(二),2023-04-07(五) |
| 第 9 週 | 3.1 Continuous Random Variables and PDFs 3.2 Cumulative Distribution Functions 3.3 Normal Random Variables 3.4 Joint PDFs of Multiple Random Variables 3.5 Conditioning 3.6 The Continuous Bayes’ Rule 2023-04-11(二),2023-04-14(五) |
| 第 10 週 | 4.1 Derived Distributions 4.2 Covariance and Correlation 4.3 Conditional Expectation and Variance Revisited 4.4 Transforms 4.5 Sum of a Random Number of Independent Random Variables 2023-04-18(二),2023-04-21(五) |
| 第 11 週 | 4.1 Derived Distributions 4.2 Covariance and Correlation 4.3 Conditional Expectation and Variance Revisited 4.4 Transforms 4.5 Sum of a Random Number of Independent Random Variables 2023-04-25(二),2023-04-28(五) |
| 第 12 週 | 4.1 Derived Distributions 4.2 Covariance and Correlation 4.3 Conditional Expectation and Variance Revisited 4.4 Transforms 4.5 Sum of a Random Number of Independent Random Variables 2023-05-02(二),2023-05-05(五) |
| 第 13 週 | 5.1 Markov and Chebyshev Inequalities 5.2 The Weak Law of Large Numbers 5.3 Convergence in Probability 5.4 The Central Limit Theorem 5.5 The Strong Law of Large Numbers 2023-05-09(二),2023-05-12(五) |
| 第 14 週 | 5.1 Markov and Chebyshev Inequalities 5.2 The Weak Law of Large Numbers 5.3 Convergence in Probability 5.4 The Central Limit Theorem 5.5 The Strong Law of Large Numbers 2023-05-16(二),2023-05-19(五) |
| 第 15 週 | Optional Topics 2023-05-23(二),2023-05-26(五) |
| 第 16 週 | Optional Topics 2023-05-30(二),2023-06-02(五) |
| 第 17 週 | 2023-06-06(二),2023-06-09(五) |
| 第 18 週 | 2023-06-13(二),2023-06-16(五) |
Probability & Stochastic Process 3/e, Yates
- 地點
- ED503
- 時間
- by appointment
- 聯絡方式
- hdtd5746@gmail.com