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PHYS/ASTR 7730 - Spring 2025
Canvas (login required)
Course Policies
Weekly Schedule
References
Set up Python environment
How to run a lab?
Statistical Inference
Readings
Reading 1: Probability and Random Variables
Reading 2: Summary Statistics
Reading 3: Central Limit Theorem & Estimators
Reading 4: Maximum Likelihood Estimation
Reading 5: Statistical Tests
Reading 6: Monte Carlo and Importance Sampling
Reading 7: Stochastic Processes & Ising Model
Reading 8: MCMC Algorithms and Considerations
Reading 9: Bayesian Analysis I
Reading 10: Bayesian Analysis II
Labs
Lab 0: Setting up and Introduction
Lab 1: Sampling Random Variables
Lab 2: Summary Statistics
Lab 3: Central Limit Theorem and Estimators
Lab 4: Maximum Likelihood Estimation
Lab 5: Statistical Tests
Lab 6: Importance Sampling
Lab 7: Ising Model
Lab 8: MCMC Algorithms and Considerations
Lab 9: Bayesian Analysis I
Lab 10: Bayesian Analysis II
Machine Learning
Readings
Reading 11: Introduction to Machine Learning
Reading 12: Supervised: Regression I
Reading 13: Supervised: Regression II
Labs
.md
.pdf
Labs: Machine Learning (Second half semester)
Labs: Machine Learning (Second half semester)
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