Department of Statistics

STATS 380 Statistical Computing

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Below description edited in year: 2018

Points: 15

Prereqs: 15 points from STATS 201, 207, 208, 220 or BIOSCI 209

Credit: Final exam 75%, coursework 25%. One must obtain at least 50% in the exam to pass the paper.

For Advice: Mehdi Soleymani (Email: | extn: 89930), Azam Asanjarani (Email: | extn: 83628)

Taught: Second Semester City

Website: STATS 380 website

STATS 380 is designed to provide an introduction to programming with the R programming language. The course will provide a general introduction to programming and discuss the specific techniques which make it possible to use R productively. After successfully completing the course, students should be able to develop new software components for their own use or for use by others.

Topics studied include: Fundamentals of Programming (basic data structures, control-flow and vectorisation, creating new functions); Applications (numerical computation and optimisation, simulation, data processing); and Graphics (visualising data in R).

Although every reasonable effort is made to ensure accuracy, this information for the course year (2019) 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.

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