This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Undergraduate Handbook 2008-2009 (archived)
Module MATH3051: STATISTICAL METHODS III
Department: Mathematical Sciences
MATH3051: STATISTICAL METHODS III
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Open | 3 | 20 | Available in 2008/2009 | None. | Durham |
Pre-requisites
- Linear Algebra II (MATH2021) and Statistical Concepts II (MATH2041).
Corequisites
- None.
Excluded Combinations
- 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 | Attendance Monitored |
|---|---|---|---|---|---|
| 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 | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Examination | 100% | 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.
Students who do not attend monitored activities shown under Teaching Methods
and Learning Hours, or who fail to complete the summative or formative
assessment(s) specified above, may be subject to the Academic Progress
procedures defined in the University's General Regulation V, and may be
required to leave the University.