Teaching

Data Science

Data Visualization Advised by Sam Lau DSC 106 WI25 My responsibilities consist of building and releasing weekly labs and projects, holding weekly office hours. Evaluation available after quarter / Website

Principles of Data Science Advised by Suraj Rampure, Janine Tiefenbruck, Rod Albuyeh DSC 10 FA23 My responsibilities consisted of building and releasing weekly labs and homeworks, beta testing exams and homeworks, holding weekly office hours, and proctoring exams and quizzes. Evaluation / Website Based off UC Berkeley's Data 8, this course is a broad introduction to data exploration, statistical inference, and prediction. Students learn these concepts through Python, as well as the foundational ways to think like a data scientist. As a result, students become data literate and proficient in reading datasets, performing operations on them for inference and discovery, mimicking the practices of real industry data scientists.

Cognitive Science

Data Science in Practice Advised by Prof. Shannon Ellis UCSD COGS 108 WI24 My responsibilities consisted of holding weekly office hours, co-hosting weekly sections, and other logistics. evaluation / organization COGS 108 - Data Science in Practice - is a class offered by the Cognitive Science Department of UC San Diego, taught by Professors Bradley Voytek, Shannon Ellis, & Jason Fleischer. Here is an overview and map of the COGS 108 Organization, which hosts materials and assignments for the class. It teaches concepts taught in UCSD's DSC 80 and UC Berkeley's Data 8 & Data 100