See this page for talks and posters given by the group.
Here we’ve included a bunch of teaching resources from Peter and Andy (and others) in the group, including classes and workshops we have taught in the past.
Advanced Biological Statistics, a two-quarter graduate-level statistics course at UO that covers many advanced statistical topics, including Bayesian methods using Stan, from a nonmathematical point of view. In R, slides in Rmarkdown.
- website: uo-biostats.github.io/UO_ABS/
- github: github.com/UO-Biostats/UO_ABS
Applied Mathematics, an first-year graduate course in (an eclectic subset of) applied mathematics, with a heavy focus on stochastic processes (and applications).
Population Biology, a short (three-week) introduction course at UO on modeling population dyanmics, using python (in jupyter notebooks).
- github: github.com/petrelharp/popbio
Probability Theory, the second quarter of a first-year graduate course in probability theory.
Introduction to Statistics for Biologists, taught as BISC 305 at USC around 2015.
- Slides and examples on github: github.com/petrelharp/bisc305
Computational Genetics, an undergraduate course at UO taught as Bio 399. This course aims to introduce upper level biology students to fundemental concepts in computational biology and genetics using a hands-on, code workshop context. Topics covered include population growth, sequence alignment, phylogenetic tree construction, clustering, dimensionality reduction, simulation, and supervised machine learning.
- github: github.com/andrewkern/bio399
Scientific Programming, a short (three-week) introduction course at UO on using the python scientific programing stack
- github: github.com/andrewkern/bio610
stdpopsim: adding species workshop, taught by Andy in March 2021, this workshop was aimed at potential contributors to the stdpopsim project and guiding folks through the process of adding a species to the stdpopsim catalog