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Data Analysis for Physics

Course Introduction
Probability Theory
Important Probability Distributions
Theory of Estimators
Estimating Probability Density from Data
Statistics and Sources of Uncertainty
Frequentist and Bayesian Methods
Project 01
Stochastic Processes, Markov Chains & Variational Inference
Confidence Intervals and Hypothesis Testing
Fourier methods
Response, Convolution and Unfolding
Time Series
Project 02
Monte Carlo and Sampling Methods
Bias and Blind Analysis
- Slides
- Bias and Blind Analysis
Machine Learning Methods
- Slides
- Deep Learning

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Project 02

Contents

Select from one of the following projects (due date Dec 9):

Project 02#

Select from one of the following projects (due date Dec 9):#

Searching for Exotic Particles
Galaxy Zoo
Higgs Boson Decaying to Tau Leptons
Nuclear Geometry and Characterization of the Quark Gluon Plasma
Simulated Annealing and application on Spin Glass Systems

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Homework 12: Time Series Analysis of Projectile Data

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Higgs Boson Decaying to Tau Leptons

Contents

Select from one of the following projects (due date Dec 9):

By Mark Neubauer

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