Current and Recent TeachingProbability and Statistics for Data Science, DSCI 345. A course covering the theoretical basis in probability and statistics for work in data science from an applied point of view. See the website for schedule, slides, and course materials. Advanced Biological Statistics, Bio 610. Hands-on course in data analysis and statistics, using R and targeted at bioinformatics. See the website for slides and course materials. Applied Stochastic Processes, Math 607. Graduate math course covering stochastic processes from an advanced "user's" point of view. Student-transcribed notes are here Spring 2018: Computational Statistics, Math 510. Introductory statistics course, using R. Winter 2018: Advanced Biological Statistics, Bio 610. Hands-on course in data analysis and statistics, using R and targeted at bioinformatics. Slides on github. Fall 2016 and Winter 2017: Statistical Methods, Math 425/525. Introductory statistics course with an emphasis on applied data analysis. Workshops, talks, etceteraSummer 2016: Helped organize the fifth Probabilistic Modeling in Genomics meeting, in Oxford, UK, with 150 people attending. Spring, 2014 and 2016: Along with Matt Dean's lab, we hosted two editions of a local meeting for evolutionary genomicists, Southern California Evolutionary Genetics & Genomics, SCalE. Past TeachingSpring 2015, USC: Introduction to Statistics for Biologists, BISC 305 (second half thereof). Slides and R code are found on github. Spring 2014, USC: Introduction to Coalescent Theory, the first half of BISC 577A, an introduction combining eclectic readings and lecture for first-year computational biology students. My notes (work in progress) are on github. Spring 2014, USC: Introduction to Computational Biology and Bioinformatics, BISC 478 (first third thereof). Homework assignments (also available on blackboard): hw 1, hw 2, hw 3, and hw 4 (the fake chromosomes to do this latter with are chrom1.fasta and chrom2.fasta. Fall 2013, USC: Introduction to Statistics for Biologists, BISC 305 (second half thereof). Slides and R code are found on github. Fall, 2010, UCB: Probability for Applications, a graduate course in probability. Summer, 2008, UCB: Concepts in Probability, an upper-division undergraduate course in probability. Spring, 2008, UCB: GSI and instructor for Stochastic Processes, Stat 150. Also, TA for Stochastic Analysis with Applications to Mathematical Finance, Stat 251. Fall 2006 and 2007, UCB: helped co-ordinate Teaching Statistics with Demos, Activities, and Projects, Stat 98/198, whose students help with local public school statistics classes, and design classroom activities. Spring, 2005, UCB: was GSI for Jim Pitman's Stat 205B (Probability Theory) course. Here's the web page. It should still have some useful links. In 2004 Peter helped organize a seminar on SLE with Gabor Pete. |