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2019/20 Taught Postgraduate Module Catalogue

BLGY5112M Advanced Statistics

10 creditsClass Size: 80

Module manager: Dr Rupert Quinnell
Email: R.J.Quinnell@leeds.ac.uk

Taught: Semester 1 View Timetable

Year running 2019/20

Pre-requisite qualifications

BLGY2192: Experimental Design and Analysis (MBiol students only)

This module is not approved as an Elective

Objectives

By the end of the course, students will understand the use and interpretation of modern statistical methods and their implementation in the statistical package R.

Skills outcomes
Students will develop statistical skills in the context of current research and practice in biodiversity and conservation.


Syllabus

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.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Lecture101.0010.00
Practical102.0020.00
Private study hours70.00
Total Contact hours30.00
Total hours (100hr per 10 credits)100.00

Private study

Preparation for lectures and practicals. Completion of practical work.

Opportunities for Formative Feedback

Attendance at lectures and practicals, and performance during practicals, will be monitored

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
In-course AssessmentPASS/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 list

The reading list is available from the Library website

Last updated: 30/04/2019

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