Catalogue of Modules, University of Nottingham

G14TBS Topics in Biomedical Statistics
(Last Updated:03 May 2017)

Year  17/18

Total Credits: 20

Level: Level 4

Target Students:  Students taking MSc in Statistics with Biomedical Applications, MSc in Statistics, MSc in Statistics and Applied Probability and fourth year MMath students.

Availability:  Not Available in the 2017/18 academic session.

Taught Semesters:

Spring Assessed by end of Spring Semester 

Prerequisites: G14FOS is required as a pre-requisite for MSc students only instead of G13INF

G13INF Statistical Inference 

Corequisites:  None.

Summary of Content:  In this module three topics in applications of statistics and probability to the biomedical sciences will be introduced. Particular examples of the topics that may be covered include:

  • analysis of microarray data;
  • biomedical image analysis;
  • epidemic modelling;
  • population genetics;
  • nonlinear models and genetics;
  • modelling gene networks;
  • systems biology.
    A project will be undertaken which will involve independent but supervised reading, and a written report.

    Method and Frequency of Class:

    ActivityNumber Of WeeksNumber of sessionsDuration of a session
    Lecture 10 weeks1 per week2 hours
    Lecture 10 weeks1 per week1 hour

    Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

    Further Activity Details:
    One two-hour lecture and one one-hour lecture per week timetabled centrally. Activities may take place every teaching week of the semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a semester.

    Method of Assessment: 

    Assessment TypeWeightRequirements
    Exam 1 75 One 2.5 hour written examination 
    Coursework 1 25 Report, typically 10-20 pages long. 

    Dr D Sirl

    Education Aims:  

    The purpose of this module is to broaden the students' knowledge of statistics by studying three important topics motivated by applications of statistics in the biomedical sciences. Also, research experience will be broadened by undertaking some independent but supervised reading, and summarising the material in a project report.

    Students will acquire knowledge and skills of relevance to a professional and/or research statistician.

    Learning Outcomes:  

    A student who completes this module successfully should be able to:

    Knowledge and understanding
    state and prove standard results relating to the theory and methods of three topics in biomedical statistics;
    derive, calculate and explain properties of the methods;
    apply the theory and methods to a range of examples;
    demonstrate proficiency in technical and non-technical report-writing.

    Intellectual skills
    apply complex ideas to familiar and to novel situations;
    work with abstract concepts and in a context of generality;
    reason logically and work analytically;
    relate theoretical models to their applications;
    perform with high levels of accuracy;
    transfer expertise between different topics in mathematics.

    Professional skills
    develop appropriate mathematical models;
    select and apply appropriate methods and techniques to solve problems;
    justify conclusions using mathematical arguments with appropriate rigour;
    communicate results using appropriate styles, conventions and terminology;
    use appropriate IT packages effectively.

    Transferable skills
    communicate with clarity;
    work effectively, independently and under direction;
    analyse and solve complex problems accurately;
    make effective use of IT;
    apply high levels of numeracy;
    adopt effective strategies for study.

    Offering School:  Mathematical Sciences

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