This module runs in Term 1, with a final coursework deadline towards the end of Term 2.
Restrictions: Available only to third-year undergraduate students in Mathematics and Statistics, MORSE and Data Science. Participation is strictly limited to 50 students: Preregistration is essential; please see the pregistration pages for details of the current status of preregistration and allocations.
Due to the groupwork component of the module, de-registrations are not permitted after Week 3 of Term 1.
In addition, although not a formal pre-requisite, ST221 Linear Statistical Modelling is recommended as background for this module. From 2020/21 onwards prioritisation will be given to students who have taken ST221.
15 CATS. This includes, in addition to time for independent study and writing:
A substantial proportion of every student's work will be done in small, collaborative teams.
The module will introduce students to statistical problem solving and the statistical investigative cycle from problem formulation to the communication of conclusions. Students will be trained in teamwork, leadership and communication/presentation skills.
Broadly speaking, the intention of this module is to complement the more specialized and/or technical modules that our students take, by emphasising the skills needed to translate technical knowhow into professional practice.
Principal learning outcomes:
At the end of the module, students will
In addition, since R will be the principal software used throughout the module, a successful student in this module will become skilled in the use of R for data analysis and reporting.
All assessment materials to be presented to a high professional standard (with reports typeset; computer code and outputs properly annotated; etc.)
Feedback to students will be within 20 working days after the submission deadline. For the first six assessment items listed above, feedback will normally be within 5 working days.