2019/20 Taught Postgraduate Module Catalogue
BLGY5112M Advanced Statistics
10 creditsClass Size: 80
Module manager: Dr Rupert Quinnell
Taught: Semester 1 View Timetable
Year running 2019/20
Pre-requisite qualificationsBLGY2192: Experimental Design and Analysis (MBiol students only)
This module is not approved as an Elective
ObjectivesBy the end of the course, students will understand the use and interpretation of modern statistical methods and their implementation in the statistical package R.
Students will develop statistical skills in the context of current research and practice in biodiversity and conservation.
The module will consist of practical training and exercises in:
Use and interpretation of modern statistical methods including General Linear Models, Generalised Linear Models, General Linear Mixed Models and Multivariate Analysis, and their application to biological problems.
Use of the statistical package R.
|Delivery type||Number||Length hours||Student hours|
|Private study hours||70.00|
|Total Contact hours||30.00|
|Total hours (100hr per 10 credits)||100.00|
Private studyPreparation for lectures and practicals. Completion of practical work.
Opportunities for Formative FeedbackAttendance at lectures and practicals, and performance during practicals, will be monitored
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|In-course Assessment||PASS/FAIL - Students will be assessed as pass or fail, depending on their ability to complete set analyses within practical classes to show evidence of satisfactory understanding.||100.00|
|Total percentage (Assessment Coursework)||100.00|
Students will be assessed as pass or fail, depending on their ability to complete set analyses within practical classes to show evidence of satisfactory understanding
Reading listThe reading list is available from the Library website
Last updated: 30/04/2019
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