Course description
The course will consist of two or three cases, i.e., scientific questions that we seek to answer. Scientific background material, in the form of links, summary texts, and lectures, will be provided to aid the analysis. Technical lectures (detailed or overviews) are available upon request. The class will be divided into groups, each of which do their own analysis. The intent is to have each group contain a broad spectrum of expertise.
Project reports will differ between cases, but could be a combination of oral presentations, posters, web pages, podcasts etc.
Requirements and Selection
Entry requirements
The main requirement is a course in regression, and some elementary probability. Knowledge of R, a software environment for statistical computing and graphics, is helpful but not essential.
Selection
Not relevant
Course syllabus
NFMV023
Department
Department of Mathematical Sciences
Subject
Natural Science and Mathematics
Type of course
Subject area course
Keywords
statistical climatology
