Fall 2021
I 310D Introduction to Human-Centered Data Science
Note: Students may be required to bring their own laptop to class. Special accommodations may be possible, but cannot be guaranteed.
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
Advisor or instructor permission required. Must have prior credit or concurrent enrollment in I 304 or other equivalent course experience. In addition, Informatics degree seekers will be given priority during registration periods 1 & 2. Additional seats may become available to outside students during registration period 3 in August.