Meeting day and time: Mon & Wed, 3:30 - 5:20 PM
Meeting location: 1155 Building E. 60th St, Room 295
Teaching staff:
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This is an applied course for social scientists with little-to-no programming experience who wish to harness growing digital and computational resources. The focus of the course is on analyzing data and generating reproducible research through the use of the programming language R and version control software.
Topics include coding concepts (e.g., data structures, control structures, functions, etc.), data visualization, data wrangling and cleaning, exploratory data analysis, etc. Major emphasis is placed on a pragmatic understanding of core principles of programming and packaged implementations of methods.
Students will leave the course with basic computational and R skills. While students will not become expert programmers, they will gain the knowledge of how to adapt and expand these skills as they are presented with new questions, methods, and data.
By the end of the course, students will:
tidyverse
packagesNote: MACS 30500 is cross-listed with CHDV 30511/ENST 20550/MACS 20500/MAPS 30500/PLSC 30235/PSYC 30510/SOCI 20278/SOCI 40176/SOSC 26032