This page is for the academic year 2021-22. The current handbook year is 2022-23
Department: Mathematical Sciences
Topics in Statistics IV
||Not available in 2021/22
- Statistical Methods III (MATH 3051).
Excluded Combination of Modules
- Topics in Statistics III (MATH 3361).
- To provide a working knowledge of the theory, computation and
practice of a number of specialised statistical tools, complementing
Statistical Methods III.
- Likelihood-based inference
- Generalised linear models
- Log-linear modelling of contingency tables
- Advanced topic: one of multivariate analysis, time series
analysis, medical statistics.
- Reading material in an advanced area of statistics chosen
by the lecturer.
- By the end of the module students will:
- be aware of a wide range of applicable statistical
- 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.
- have a knowledge and understanding of a substantial topic in
an advanced area of statistics obtained by independent study.
- In addition students will have specialised mathematical
skills in the following areas which can be used with minimal guidance:
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
- 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
Teaching Methods and Learning Hours
||2 per week for 20 weeks (omitting two slots) and 2 in term
||In unused lecture slots in first two terms
||Four in each of terms 1 and 2
|Preparation and Reading
||Component Weighting: 90%
||Length / duration
|Component: Continuous Assessment
||Component Weighting: 10%
||Length / duration
|Eight written or electronic 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