A comprehensive and interdisciplinary introduction to data analytics using modern computing systems, with equal attention to fundamentals and practical aspects. Topics include sources of data, data formats and transformation, usage of spreadsheets and databases, statistical analysis, pattern recognition, data mining, big data, and methods for data presentation and visualization.
|Winter 2019||DH 2144B||Instructor: TBA||Syllabus|
DH 2220A: Computing and Informatics in the Humanities I (cross listed with CS 2120A)
It's 2018 do you know how to code yet? We live in an era of unprecedented data generation and nowhere is that more apparent than in the life sciences. Without automated tools to help us process, format and mine our data, we are essentially helpless, buried by sheer volume.This course will teach you the basics of computer programming, oriented completely towards helping make you a 21st century scientist. Even if you end up choosing a career path outside of science, basic programming skills will enable you to grapple with problems and datasets that are inaccessible to those without these skills.
|Fall 2018||DH 2220A||Instructor: TBA||Syllabus|
DH 2221B: Computing and Informatics in the Humanities II (cross listed with CS 2121B)
A continuation of DH 2220A with a deeper exploration of organizing and manipulating large data sets. Project-based course.
|Winter 2019||DH 2221B||Instructor: TBA||Syllabus|
DH 3220A: Databases for the Humanities (cross listed with CS 3319A/3120A)
A study of modern database systems and their applications to and use in humanities and social science projects. Topics include database design, querying, administration, security, and privacy.
|Fall 2018||DH 3220A||Instructor: Laura Reid||Syllabus|