Module manager: Dr Andrew Baczkowski
Email: A.J.Baczkowski@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2018/19
MATH2715, or MATH2735, or equivalent.
This module is approved as a discovery module
This module will make use of examples based on environmental data; some of the topics being 'driven' by examples. Environmental data may result from observational studies, or may be of a spatial nature with observations collected at particular locations. For example, incidences of leukaemia may be claimed to be the result of nuclear power stations. The analysis of such data will use methods in spatial statistics.
To introduce statistical concepts and models for analysing data of an environmental nature.
On completion of this module, students should be able to:
(a) analyse data of a spatial nature
(b) analyse models when applied to the analysis of categorical data arising from observational studies.
1. Types of data.
2. Spatial point patterns: contagious distributions.
3. Quadrant analysis: testing for non-randomness.
4. Distance methods: nearest neighbour analysis.
5. Spatial autocorrelation: join count statistics; testing hypotheses of spatial correlation.
6. Categorical data analysis: log-linear models; goodness of fit; three-dimensional tables; model selection.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Workshop | 8 | 1 | 8 |
| Lecture | 22 | 1 | 22 |
| Practical | 3 | 1 | 3 |
| Private study hours | 67 | ||
| Total Contact hours | 33 | ||
| Total hours (100hr per 10 credits) | 100 | ||
Studying and revising of course material.
Completing of assignments and assessments.
Regular problem solving assignments
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| In-course Assessment | . | 20 |
| Total percentage (Assessment Coursework) | 20 | |
There is no resit available for the coursework component of this module. If the module is failed, the coursework mark will be carried forward and added to the resit exam mark with the same weighting as listed above.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 2.0 Hrs Mins | 80 |
| Total percentage (Assessment Exams) | 80 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 3/20/2018
Errors, omissions, failed links etc should be notified to the Catalogue Team