Spring 2023
I 310D Introduction to Human-Centered Data Science
Instructor TBD.
DESCRIPTION
I310D- Introduction to Human-Centered Data Science is a survey course that introduces students to the theory and practice of data science through a human-centered lens, with emphasis on how design choices influence algorithmic results. Students will gain comfort and facility with fundamental principles of data science including (a) Programming for Data Science with Python (b) Data Engineering (c) Database Systems (d) Machine Learning and (e) Human centered aspects such as privacy, bias, fairness, transparency, accountability, reproducibility, interpretability, and societal implications. Each week’s class divided into two segments: (a) Theory and Methods, a concise description of theoretical concept in data science, and (b) Tutorial, a hands-on session on applying the theory just discussed to a real-world task on publicly available data. We will use Python for programming and cover Python basics in the beginning of the course. For modules related to databases, we will use PostGre SQL.
PREREQUISITES
Informatics 301.
RESTRICTIONS
Informatics majors will have top registration priority through the early periods of registration. Informatics minors are encouraged to join the waitlist, which will begin promoting students on December 12 if seats remain available.
All other students will need to complete this Registration Support Questionnaire in order to request a seat in any of our classes.