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Data Analysis for Physics
Course Introduction
Slides
Jupyter Notebooks and Numerical Python
Handling Data
Homework 01: Numerical python and data handling
Probability Theory
Slides
Probability Theory
Bayes’ Rule
Visualizing Data
Homework 02: Probability Theory
Important Probability Distributions
Slides
Important Probability Distributions
Central Limit Theorem
Homework 03: Important Probability Distributions
Theory of Estimators
Slides
Statistics
Uncertainties on the Mean
Estimating Probability Density from Data
Slides
Estimating Probability Density from Data
Homework 05: Kernel Density Estimation
Statistics and Sources of Uncertainty
Slides
Fitting
Fitting, part 2
Frequentist and Bayesian Methods
Slides
Frequentist and Bayesian Methods
Markov Chain Monte Carlo in Practice
Homework 07: Bayesian Statistics and MCMC
Project 01
Higgs Boson Decaying to Tau Leptons
Searching for Exotic Particles
Galaxy Zoo
Nuclear Geometry and Characterization of the Quark Gluon Plasma
Stochastic Processes, Markov Chains & Variational Inference
Slides
Stochastic Processes and Markov-Chain Theory
Variational Inference
Homework 08: Markov Chains
Confidence Intervals and Hypothesis Testing
Slides
Confidence from Data
Problem 1
Fourier methods
Slides
Response, Unfolding & Convolution
Response, Convolution and Unfolding
Slides
Fourier Methods
Unfolding
Time Series
Slides
Time Series Analysis
Homework 12: Time Series Analysis of Projectile Data
Project 02
Higgs Boson Decaying to Tau Leptons
Searching for Exotic Particles
Galaxy Zoo
Nuclear Geometry and Characterization of the Quark Gluon Plasma
Monte Carlo and Sampling Methods
Slides
Monte Carlo and Sampling Methods
Assignment 13: Monte Carlo Integration and Sampling Methods
Bias and Blind Analysis
Slides
Bias and Blind Analysis
Machine Learning Methods
Slides
Deep Learning
Index
