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Module Detailed Information for [BL5233]
Academic Year : 2017/2018 Semester : 2
Correct as at 30 Mar 2018 04:27

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Module Information
Module Code :
Module Title : Biological data analysis with R
Module Description : Analysis and modeling of environmental biology data are essential skills in environmental biology in general and ecological research in particular. The range of statistical and modeling techniques necessary to analyze real data and the complexities inherent to natural systems will be covered. The module will provide graduate students with the expertise to perform modeling and statistical inference on environmental biology datasets at a publishable standard. Topics covered include: generalized linear models, generalized additive models, generalized linear mixed-effects models, analysis of communities structure, time series and spatial statistics.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : An undergraduate course in statistics.
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 2-0-4-0-4
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
Class TypeWeek TypeWeek DayStartEndRoom Iteration
Available in Tutorial Balloting [Iteration 9].

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