This one-day workshop (taught in 2021 and 2023) introduced students to automated web data collected and provided a hands-on tutorial in R. It covered web scraping of scraping and dynamic pages, automating a browser with RSelenium and the basics of using APIs. The latest materials can be found on Github.
The course introduced undergraduate students to approaches to and basic concepts in the study of the social sciences, such as hypotheses, experiments, surveys and others. I was a seminar instructor for this course in 2021 and 2023.
I worked as a TA for the four-week course in advanced network analysis in the summers of 2020 and 2021. The focus of this advanced course was inferential network analysis, including exponential random graph models and its varieties, stochasticactor oriented models, local structure graph models, and their implementation in R.
This course allowed student to conduct their own research proect and analyse and present their previously collected data to answer their research questions. I advised students in the analytical strategy of their individual projects and helped conductings lab sessions with Stata. I worked as a Teaching Assistant for this course in the academic years 2018/19, 2019/20, 2020/21.
This course allowed student to conduct their own research project and experience the quantitative research cycle from initial design through to data collection. I supported with syllabus design and held three lectures on the use of the online survey software Qualtrics. I worked as a Teaching Assistant for this course in the academic years 2018/19, 2019/20, 2020/21.