About
About Me
I am your instructor, Professor Jack Reilly. You can find more about me on my website, but in short:
Data analysis and statistics are among my favorite things to teach. Iβve been teaching them for over 15 years now, at multiple different institutions, and Iβm very much looking forward to doing so again this semester with you all.
I also research and write papers on American politics and quantitative methods and was born and raised right here in beautiful Upstate New York.
Please take a minute to browse this website, where youβll find the course overview, topic schedule, course content, class and university academic policies, and more.
Finally, if youβd like this website and syllabus in an alternate format, please note you can download .pdfs or .docxs of any page on the site simply by clicking the link on the page. You can also download a full copy of the main syllabus here.
Technical Details
The site was built in Quarto in Positron, and hosted on GitHub Pages. Course content makes heavy use of R and RStudio. Slides are built the old-fashioned way with Keynote and exported to PDFs.
The course website attempts to make few changes from base quarto styling, for purposes of simplicity and portability. There are a few tweaks here and there, but if you want, you can just head over to my GitHub page and load up everything in markdown if you like.
There is no tracking, analytics, or telemetry built into this site, aside from any required by GitHub Pages for hosting. I donβt know what pages you visit or when.
Credits and Acknowledgements
This course page was inspired, in spirit if not in all technical details, by related courses from Andrew Heiss and Kieran Healy. I am grateful for their lead and for making their source material open. Other acknowledgements for particular content can be found in content pages and course slides.
Some figures, images, and excerpts from external sources are included for purposes of teaching, scholarship, criticism, and commentary. These materials are used either under applicable open licenses (e.g., Creative Commons) or under U.S. fair use provisions for non-commercial educational use.
If you believe any material has been included in error, please contact me and I will address it promptly.