Module #1 Introduction to Particle Physics Overview of particle physics, fundamental interactions, and the Standard Model
Module #2 Detection of Charged Particles Principles of particle detection, ionization, and charge measurement
Module #3 Detection of Neutral Particles Techniques for detecting neutral particles, such as calorimetry and Cherenkov radiation
Module #4 Particle Identification Methods for identifying particles, including dE/dx, time-of-flight, and Cherenkov radiation
Module #5 Introduction to Detectors Overview of detector types, including tracking detectors, calorimeters, and muon detectors
Module #6 Silicon Detectors Principles and applications of silicon detectors, including strip detectors and pixel detectors
Module #7 Gas Detectors Operating principles and applications of gas detectors, including wire chambers and drift chambers
Module #8 Calorimetry Principles and applications of calorimetry, including electromagnetic and hadronic calorimeters
Module #9 Muon Detectors Design and operation of muon detectors, including absorbers and trigger systems
Module #10 Trigger Systems Design and operation of trigger systems, including hardware and software triggers
Module #11 Data Acquisition Systems Overview of data acquisition systems, including hardware and software components
Module #12 Reconstruction Techniques Introduction to event reconstruction, including track fitting and vertexing
Module #13 Pattern Recognition Algorithms and techniques for pattern recognition in particle physics
Module #14 Neural Networks in Particle Physics Introduction to neural networks and their applications in particle physics
Module #15 Monte Carlo Simulations Overview of Monte Carlo simulations, including event generators and detector simulations
Module #16 Statistics in Particle Physics Introduction to statistical methods in particle physics, including hypothesis testing and confidence intervals
Module #17 Experimental Methods for Particle Properties Experimental methods for measuring particle properties, including mass, spin, and decay modes
Module #18 Searches for New Physics Strategies and techniques for searching for new physics beyond the Standard Model
Module #19 Background Suppression Techniques Methods for suppressing backgrounds in particle physics experiments
Module #20 Particle Physics Computing Overview of computing in particle physics, including software frameworks and grid computing
Module #21 Data Analysis Techniques Introduction to data analysis techniques, including cuts, selections, and kinematic fitting
Module #22 Unfolding and Deconvolution Techniques for unfolding and deconvolving detector effects from particle physics data
Module #23 Systematic Uncertainties Methods for estimating and propagating systematic uncertainties in particle physics measurements
Module #24 Course Wrap-Up & Conclusion Planning next steps in Experimental Techniques in Particle Physics career
