Introduction to computational statistics through numerical methods and computationally intensive methods for statistical problems. Topics include intermediate to advanced

programming techniques in R, root finding, simulation, randomization testing, and bootstrapping.

L e ct u re s

Time: WM, 3:00 - 4:50 PM

Location: https://ucla.zoom.us/j/94299945734?

pwd=ZEdpY09MU0N2K1VsL1I3SGk1MDg1QT09 (https://ucla.zoom.us/j/94299945734? pwd=ZEdpY09MU0N2K1VsL1I3SGk1MDg1QT09)

You should attend every class and ensure you catch up on the class progress. If extenuating circumstances arise that may make this difficult, please let me know as soon as you can.

Off i c e H o u r s :

I will be conducting online office hours online every every Thursday from 11:00 AM to 12:30 PM. Please follow the link below to join the office hours.

https://ucla.zoom.us/j/96058792921?pwd=aC9OYThUSE5kQ1ZZSWJiNjU1c3RXdz09 (https://ucla.zoom.us/j/96058792921?pwd=aC9OYThUSE5kQ1ZZSWJiNjU1c3RXdz09)

Co u rse  Mate r ia ls

R e q u i re d  Textb o o k

Wickham, H., Advanced R, 2nd Edition, CRC Press, 2019 (https://adv- r.hadley.nz/index.html)

Jones, O., Maillardet, R., and Robinson, A., Introduction to Scientific Programming and Simulation Using R, CRC Press, 2009

(https://www.taylorfrancis.com/books/9780429143335)

Chang, W., R Graphics Cookbook, O’Reilly, 2012

(http://%7Bhttps://proquest.safaribooksonline.com/book/programming/r/9781449363086/r- graphics-cookbook/index_html)

Zieffler, A. S., Harring, J. R., Long, J. L., Comparing Groups: Randomization and Bootstrap Methods Using R, Wiley, 2011

(https://onlinelibrary.wiley.com/doi/book/10.1002/9781118063682)

R e q u i re d  S oftw a re

Programming Language/Software: R version 4.0+ (Free to download at https://cran.r- project.org (https://cran.r-project.org) )

Integrated Development Environment: RStudio (Free to download at

https://www.rstudio.com/     (https://www.rstudio.com/) )

Te ntative Co u rse O utli ne

C o u r s e O ut l i n e

Co u rse Ass ig n me nts

Q u i z

There will be 5-6 online timed quizzes posted on Bruinlearn. The quizzes will be posted 2 days in advance. Please be aware of the deadlines, I will not extend any quiz deadlines.

H o m ew o r k

There will be around 5 homework assignments depending on our progress.

The assignments will be posted on the course website and due by 11:00 PM on the specified due date.

Please include your first and last name, and student ID on every homework assignment.

It is your responsibility to verify that your homework assignment was successfully uploaded by the deadline. Every homework assignment will specify the format of the submission in more detail.

The grading will abide by the assignment policies below.

Ex a m

Co u rse  Po licy

G r a di n g P o li cy

5% Quiz

45% Homework

15% Midterm Exam (50 minutes)

35% Final Exam (1 hour and 50 minutes)

G r a d e D i st r i b ut i o n

Final grades typically follow the standard scale as the following table, but the cutoffs can be

flexible to accommodate score distributions that do not fit that very well. Plus and minus cutoffs will be determined at the end of the quarter. If everyone does well, everyone will get a good grade.

L e tt e r G r a d e S c h e m e

Please upload the signed integrity agreement before the due of the first assignment. No work