The first wave of data science focused on accuracy and efficiency: on what we can do with data. The second wave is about responsibility: what we should and should not do. Accordingly, this technical course tackles the issues of ethics and responsibility in data science, including legal compliance, data quality, algorithmic fairness and diversity, transparency of data and algorithms, privacy, and data protection. An important feature of this course is its holistic treatment of the data science lifecycle, beginning with data discovery and acquisition, through data cleaning, integration, querying, analysis, and result interpretation.
Data Science (Undergraduate)
4 credits – 15 Weeks
Sections (Spring 2022)
DS-UA 202-000 (9950)01/24/2022 – 05/09/2022 Mon,Wed8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Wood, George
DS-UA 202-000 (9951)01/24/2022 – 05/09/2022 Thu8:00 AM – 8:00 AM (Morning)at Washington SquareInstructed by