PSYC 148A: Applied Statistical Computing in RInstructor: 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.Topics of statistical computing include methods of describing data, numerical summary and graphical presentation of data, computing of probability, density, and quantiles based on given distributions, simulation and data generation, and writing functions for custom statistics. While the main theme of this course is on statistical computing with R, we will emphasize the applied aspect through using data from empirical studies. Session: Extended Day: Online 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: Available for Graduate Credit Course Tuition: $3,700 Course Fees: None Open to High School Students: No |
