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Curricular information is subject to change
Students will develop skills in:
Design of data analysis plans to answer research questions
Exploratory and descriptive analysis of data
Statistical and mathematical data modeling
Presentation of research results
Academic writing, presentation, and producing reports of modeling results
Application of mathematical and statistical modelling techniques to real data sets including:
Linear Modelling, Generalised Linear Modelling, Time Series, Survival Analysis, Multivariate Analysis
Application of applied mathematical modeling techniques including:
Epidemiological models, Pharmacokinetic models
Research methods, report writing and presentation skills
Student Effort Type | Hours |
---|---|
Lectures | 2 |
Specified Learning Activities | 50 |
Autonomous Student Learning | 50 |
Total | 102 |
Students should have a thorough understanding of basic statistical inference including hypothesis testing and regression models. Students should also have a basic knowledge of Ordinary Differential Equations.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Not yet recorded. |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Group/class feedback, post-assessment
Written feedback will be provided to each group by email.