Teaching
Materials related to my undergraduate courses can be found on Quercus. This page only contains material related to my graduate courses.
Winter 2020: AST1420: Galactic Structure and Dynamics
See the course website on GitHub
Fall 2018: AST1420: Galactic Structure and Dynamics
See the course website on GitHub
Winter 2018: Mini-course on Statistics and Inference in Astrophysics
Syllabus
Syllabus (pdf)
See below for some further resources.
Lecture slides
Lecture 1
Lecture 2 (Fitting example)
Lecture 3 (MCMC demo, MCMC examples notebook)
Lecture 4
Problem set
Problem Set: the Hubble constant from the local distance ladder
Fall 2017: AST1420: Galactic Structure and Dynamics
See the course website on GitHub
Winter 2016: Mini-course on Statistics and Inference in Astrophysics
Lecture notes
Lecture 1
Lecture 2
Lecture 3
Lecture 4
Lecture 5
Problem sets
Some resources
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data textbook
Figures from the textbook (with code)
Information Theory, Inference, and Learning Algorithms, by David Mackay; see Part IV in particular
Gaussian Processes for Machine Learning, by Carl Edward Rasmussen and Christopher K. I. Williams
Data analysis recipes: Fitting a model to data
Data analysis recipes: Probability calculus for inference
More to be added as the course progresses
The lecture notes on this page are licensed under a Creative Commons Attribution 4.0 International License. Lecture notes on external websites linked to from this page are covered under licenses specified on those websites.
contact info
email: jo.bovy [at] utoronto.ca
address:
Department of Astronomy and Astrophysics
University of Toronto
50 St. George Street
Toronto, ON M5S 3H4
