课程介绍：

Introduction This course is aimed for graduate students or senior undergraduates, who have taken basic courses on probablitiy and statistics. The main purpose is to bridge the gap between the knowledge from textbooks or classrooms to research work in the field of experimental particle physics. The course covers the following topics: Probability and Statistics Parameter estimation and Hypothesis testing Regression and Classification Monte Carlo calculations Pattern recognition Track fitting

上课地点：

5307

上课时间：

Tuesday (8,9,10), Thursday (1,2)

授课教师：

Yanwen Liu, Lailin Xu

开课学年：

2021-2022

开课学期：

春学期

课程号：

PHYS6055P

学分：

4.0

课程类型：

研究生课程

是否精品课程：

否

课时：

80.0

教材及参考书：

Materials: All slides, lectures, recordings, additional readings etc can be found at the USTC BB system Homeworks: gitee repository, access via initations only