機率論
Probability Theory
| 節 | 週三 | 週五 |
|---|---|---|
2 09:00–09:50 | 機率論 SA311（光復） | |
3 10:10–11:00 | 機率論 SA311（光復） 2 節連堂 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
The aim of this course is to introduce the based concepts in probability, which are used in modern mathematics and many other fields of science and engineering. While the choice of topics is motivated by their use in mathematics and various applied areas, the courses will emphasize the conceptual ideas in probability theory and implement by many examples. Syllabus: Experiments, outcomes, events and probability Discrete random variables Expectation and variance Laws of large numbers Continuous random variables The central limit theorem More about variance and covariance
linear algebra, calculus
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Quizzs(10X4=40), Midterm Exam(30), Final Exam(30)
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Lecture notes for under graduate probability by Sourav Chatterjee Introduction to probability theory by Dmitry Panchenko Lecture notes for introductory probability by Janko Gravner
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