Undergraduate Programme and Module Handbook 2008-2009 (archived)

Module MATH3051: STATISTICAL METHODS III

Department: Mathematical Sciences

MATH3051: STATISTICAL METHODS III

Type	Open	Level	3	Credits	20	Availability	Available in 2008/09	Module Cap	None.	Location	Durham

Prerequisites

Linear Algebra II (MATH2021) and Statistical Concepts II (MATH2041).

Corequisites

None.

Excluded Combination of Modules

None.

Aims

To provide a working knowledge of the theory, computation and practice of statistical methods.

Content

Introduction to statistical software for data analysis.
Regression: general linear model, diagnostics, influence, transformations, variable selection, stability, correlated errors, weighted least squares.
Multivariate normal distribution, likelihood theory.
Generalised linear models.
Multivariate analysis.

Learning Outcomes

Subject-specific Knowledge:

By the end of the module students will: be able to solve novel and/or complex problems in Statistical Methods.
have a systematic and coherent understanding of theoretical mathematics in the field of Statistical Methods.
have acquired a coherent body of knowledge of these subjects demonstrated through one or more of the following topic areas: Statistical computing.
Regression.
Multivariate Analysis.
Likelihood estimation.
Generalised linear models.

Subject-specific Skills:

In addition students will have specialised mathematical skills in the following areas which can be used with minimal guidance: Modelling, Computation.

Key Skills:

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

Lectures demonstrate what is required to be learned and the application of the theory to practical examples.
Assignments for self-study develop problem-solving skills and enable students to test and develop their knowledge and understanding.
Formatively assessed assignments provide practice in the application of logic and high level of rigour as well as feedback for the students and the lecturer on students' progress.
The end-of-year examination assesses the knowledge acquired and the ability to solve predictable and unpredictable problems..

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total/Hours
Lectures	40	2 per week for 19 weeks and 2 in term 3	1 Hour	40
Preparation and Reading				160
Total				200

Summative Assessment

Component: Examination		Component Weighting: 100%
Element	Length / duration	Element Weighting	Resit Opportunity
three-and-one-quarter-hour written examination including 15 minutes reading time		100%

Formative Assessment:

Four written assignments to be assessed and returned. Other assignments are set for self-study and complete solutions are made available to students.

■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University