BIOSCI 738 Advanced Biological Data Analysis.

Below description edited in year: 2018

Points: 15

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

Credit: 40% Examination, 60% Coursework

For Advice: Katya (Kathy) Ruggiero (Email: k.ruggiero@auckland.ac.nz | extn: 89938)

Taught: First Semester City

Website: BIOSCI 738 website

Offered by School of Biological Sciences.

15 points) (City) Semester One Advanced biological data analysis, including analysis of variance with nested and random effects, analysis of covariance, cluster analysis, principal components analysis, multidimensional scaling, and randomization methods. There will be a practical component to this course involving the use of the R statistical software. Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208 or equivalent. Assessment: 40% Examination, 60% Coursework Format: Six fortnightly assignments at 10% each. Workshop/Tutorial: Must attend 5 out of 6 to pass the course overall. Coordinator: Professor Christopher Triggs Phone: +64 9 373 7599 ext 88856 Email: cm.triggs@auckland.ac.nz

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.