Brandeis University

    PSYC 148A: Applied Statistical Computing in R

    Instructor: Xiaodong Liu
    Prerequisites: PSYC 51a or equivalent.
    Course Description: This course is designed for students with introductory statistics background who would like to learn to do statistical computing in R and who would like to further their understanding of inferential statistics and statistical modeling.

    R is the platform for this course. It will be introduced in a way that helps make the connection between data preparation and manipulation, data generation (simulation), data presentation (descriptively and graphically), statistical concepts, and statistical modeling. Additionally, through R programming, students will learn to document the analytic process for reproducibility of research work.
    Session: Extended
    Day: Online Asynchronous 10-week
    Time: Asynchronous
    Credit Hours: 4 Credits
    Course Format: 10-week Asynchronous Online format
    Brandeis Graduation Requirement Fulfilled: QR, SS
    Enrollment Limit: 10 students
    Course Classification: Undergraduate Level Course
    Course Tuition: $3,700
    Course Fees: None
    Open to High School Students: No