Course Introduction:

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

Venue:

5307

Schedule:

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

Teacher:

Yanwen Liu, Lailin Xu

School Year:

2021-2022

Semester:

Spring Term

Course number:

PHYS6055P

Credits:

4.0

Course Type:

Postgraduate Course:

Top-Quality Courses or Not:

no

Required Class Hours:

80.0

Courses and reference books:

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