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

with emphasis on hands-on exercise.

2021 Spring

• ClassID: PHYS6055P.01.2021SP
  • Location: 5307
  • Time: Tuesday (8,9,10), Thursday (1,2)
• Tutor: Yanwen Liu, Lailin Xu
• Materials:
  • All slides, lectures, recordings, additional readings etc can be found at the USTC BB system
  • Homeworks: gitee repository, access via initations only