Module Information

Module Identifier
MAM5220
Module Title
Statistical Techniques for Computational Scientists
Academic Year
2024/2025
Co-ordinator
Semester
Semester 2
Pre-Requisite
Reading List
Other Staff

Course Delivery

 

Assessment

Assessment Type Assessment length / details Proportion
Semester Assessment Three practical portfolios 3 x 25% Consultancy exercises 25% (9% for presentation, 16% for essay)  100%
Supplementary Assessment Resubmission of failed components  100%

Learning Outcomes

On completion of this module, students should be able to.
Select and apply advanced statistical methods to research problems

Apply the more advanced capabilities of R to analyze complex data

Select and apply advanced statistical methods to research problems

Interpret and report effectively the results of statistical analyses

Brief description

The more advanced capabilities of R will be explored and mastered by applying statistical techniques to problems in Computational Biology.

Aims

This module will allow students to master the more advanced capabilities of R by using them to apply a variety of statistical techniques to problems in Computational Biology. Students are introduced to a variety of new techniques and applications, and proceed to study three of these in depth.
Students will also gain experience of Statistical consultancy.

Content

1. Introduction to a number of advanced topics such as:
MANOVA
Principal Component Analysis
Time series
Epidemiology
Generalised linear models
Transcriptomics

Module Skills

Skills Type Skills details
Application of Number Inherent in the study of statistics and statistical methods
Communication Consultancy exercises
Improving own Learning and Performance Awareness of advanced techniques and detailed study of some of these
Information Technology Mastery of the advanced capabilities of R
Personal Development and Career planning Experience of statistical consultancy
Problem solving Identifying and using statistical techniques to solve problems in Computational Biology
Research skills Experimental design
Subject Specific Skills Expertise in advanced analysis techniques
Team work Joint work in consultancy

Notes

This module is at CQFW Level 7