STATS 782 Statistical Computing

Below description edited in year: 2018

Points: 15

Credit: Assessment will be based on assignments (20%) and a test (20%) and final exam (60%).

For Advice: Thomas Yee (Email: t.yee@auckland.ac.nz | extn: 88811), Yong Wang (Email: yong.wang@auckland.ac.nz | extn: 84700)

Taught: Second Semester City

Website: STATS 782 website

This course provides a more advanced treatment of statistical computing with R.

The course is intended for students with a strong interest in computing or progressing on to a research career (or both).

Topics covered include: details of R syntax and data structures; numerical computation; object-oriented programming (S3 and S4); R packages; efficiency; scoping; and graphics.

The course will assume a background in statistical computing (e.g., STATS 220, STATS 380, or STATS 779) or a background in programming (e.g., COMPSCI programming courses or students in the data science programme). Students should have a reasonably strong maths background (e.g., to Stage 2).

Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2018), is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.