Postgraduate Course: Generalised Regression Models (MATH11187)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The course builds on the material covered in MATH10095 Statistical Methodology, extending the statistical techniques described to generalised linear models. |
| Course description |
Topics to be covered include :
- generalised linear models;
- analysis of deviance;
- exponential families; and
- generalised linear mixed models.
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Course Delivery Information
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| Academic year 2019/20, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
|
| Assessment (Further Info) |
Written Exam
95 %,
Coursework
5 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 5%; Examination 95% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | Generalised Regression Models (MATH11187) | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand generalised linear models and their application to different problems.
- Understand mixed effects and their interpretations.
- Identify and apply appropriate statistical models to data and interpret the corresponding results.
- Use R to fit generalised linear models to data.
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Reading List
| An Introduction to Generalized Linear Models. Dobson and Barnett. Chapman and Hall. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Special Arrangements |
These Postgraduate Taught courses may be taken by Undergraduate students *without* requiring a concession (NB. students on Postgraduate taught programmes are given priority in the allocation of places). For all other Postgraduate Taught courses the student and/or Personal Tutor must seek a concession. |
| Keywords | GRM,Regression,Statistics |
Contacts
| Course organiser | Dr Bruce Worton
Tel: (0131 6)50 4884
Email: Bruce.Worton@ed.ac.uk |
Course secretary | Miss Gemma Aitchison
Tel: (0131 6)50 9268
Email: Gemma.Aitchison@ed.ac.uk |
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