2021/22 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 (Sep to Jan) View Timetable

Year running 2021/22

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 type	Number	Length hours	Student hours
Lecture	10	1.00	10.00
Practical	10	2.00	20.00
Private study hours			70.00
Total Contact hours			30.00
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 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 list

The reading list is available from the Library website

Last updated: 14/07/2021

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