THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
- ARCHIVE as at 13 January 2011 for reference only
THIS PAGE IS OUT OF DATE

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Categorical Data Analysis (MATH10055)

Course Outline
School School of Mathematics College College of Science and Engineering
Course type Standard Availability Available to all students
Credit level (Normal year taken) SCQF Level 10 (Year 4 Undergraduate) Credits 10
Home subject area Mathematics Other subject area Specialist Mathematics & Statistics (Honours)
Course website http://student.maths.ed.ac.uk Taught in Gaelic? No
Course description Course for final year students in Honours programmes in Mathematics.

The syllabus will include transformations; 2-by-2 tables, k-by-2 tables; conditional and profile likelihoods; several 2-by-2 tables; logistic regression; loglinear models for two-way tables; and three-way tables.
Entry Requirements
Pre-requisites Students MUST have passed: Foundations of Calculus (MATH08005) AND Several Variable Calculus (MATH08006) AND Linear Algebra (MATH08007) AND Methods of Applied Mathematics (MATH08035) AND Probability (Year 2) (MATH08008) AND Likelihood (MATH10004) AND Linear Statistical Modelling (MATH10005) AND Pure & Applied Analysis (MATH10008) AND Statistics (Year 2) (MATH08051)
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Statistics (Year 3) (MATH08052) AND Probability (Year 3) (MATH09004)
Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? Yes
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
1. Appreciation of difference between linear models and logistic and loglinear models.

2. Knowledge of models for categorical data analysis and ability to fit and analyse them.

3. Awareness of dependence relationships amongst categorial variables.

4. Ability to use Splus to fit models for categorial data.
Assessment Information
Degree Examination: 100%.
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
Keywords CAT
Contacts
Course organiser Dr Liam O'Carroll
Tel: (0131 6)50 5070
Email: L.O'Carroll@ed.ac.uk
Course secretary Mrs Gillian Law
Tel: (0131 6)50 5085
Email: G.Law@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Timetab
Prospectuses
Important Information
 
copyright 2011 The University of Edinburgh - 13 January 2011 6:21 am