Programming and Data Literacy Using R Credit Hours: 4 hours. 3 hours lecture and 2 hours lab per week. Elementary statistical analysis and data manipulation in R. Topics include algorithms, programs, and computing in R. Fundamental techniques of program development in R. Programming projects and applications. Hands-on experience of data input/output and formatting, brief introduction to object-oriented programming, introduction to statistical computing and very elementary data analysis and graphics. 3 hours lecture and 2 hours lab per week. Prerequisites: STAT 2000 or STAT 2100H or STAT 2010 Prerequisite or Corequisite: STAT 4210 Semester Offered: Fall Spring Summer Level: Undergraduate
