Undergraduate Course: Categorical Data Analysis (MATH10055)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | Course for final year students in Honours programmes in Mathematics.
The syllabus will include an introduction to categorical response data, the description of and inference for contingency tables, logistic regression and loglinear models.
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| Course description |
Not entered
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Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Appreciation of difference between linear models and logistic and loglinear models.
- Knowledge of models for categorical data analysis and ability to fit them and interpret the results.
- Awareness of dependence relationships amongst categorical variables.
- Ability to use R to fit models for categorical data.
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Contacts
| Course organiser | Prof Colin Aitken
Tel: (0131 6)50 4877
Email: C.G.G.Aitken@ed.ac.uk |
Course secretary | Mrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: Alison.Fairgrieve@ed.ac.uk |
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