2017-2018 Academic Catalog 
    
    Apr 18, 2024  
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2017-2018 Academic Catalog [Archived Catalog]

MATH 502 - Introduction to R

Credits: Three (3)
Prerequisite: MATH/ACSC 151
This course covers practical issues in data analysis and graphics that includes programming in R, debugging R codes, Jupyter Notebook, cloud computing, data exploration and data visualization. Project based learning is used to help students develop effective problem solving skills and effective collaboration skills. A presentation of one project is required for the course.
Note: This course is for graduate students only
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