This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Undergraduate Handbook 2010-2011 (archived)
Module MATH 3361: Topics in Statistics III
Department: Mathematical Sciences
MATH 3361: Topics in Statistics III
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Open | 3 | 20 | Available in 2010/2011 | None. | Durham |
Pre-requisites
- None.
Corequisites
- Statistical Methods III (MATH 3051).
Excluded Combinations
- Topics in Statistics IV.
Aims
- To provide a working knowledge of the theory, computation and practice of a number of specialised statistical tools, complementing Statistical Methods III.
Content
- Likelihood-based inference
- Generalised linear models
- Log-linear modelling of contingency tables
- Advanced topic: one of multivariate analysis, time series analysis, medical statistics.
Learning Outcomes
Subject-specific Knowledge
- By the end of the module students will:
- be aware of a wide range of applicable statistical methodology.
- have a systematic and coherent understanding of the theory, computation and application of the mathematics underlying the statistical topics studied.
- have acquired a coherent body of applicable knowledge on likelihood methods as a general approach to inference.
- have acquired a coherent body og knowledge of generalised linear methods and log-linear modelling.
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.
- Computer practicals consolidate the studied material and enhance practical understanding.
- 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 | 38 | 2 per week for 18 weeks in first two terms and 2 in third term | 1 Hour | 38 | |
| Computer Practicals | 2 | In unused lecture slots in first two terms | 1 Hour | 2 | |
| Preparation and Reading | 160 | ||||
| Total | 200 |
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Examination | 100% | Written examination | 3 hours and 15 minutes | 100% |
Formative Assessment
Four written or electronic 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.