Content and teaching | Assessment | Availability

Module content and teaching

Principal aims

To introduce students to statistical (and bioinformatic tools) for summarising and analysing data in the life sciences.

Principal learning outcomes

"(a) Subject knowledge and understanding Statistical methods: Application of statistical methods to determine data quality and extract key results - data mining; Parameter estimation; Sequence analysis and alignment; Phylogenetic tree construction. (b) Key Skills Know how to assess the quality of a data set from diverse biophysical techniques; Know how to assess the quality of a data set from micro arrays; Able to identify appropriate statistical/bioinformatics tools to analyse data and hence draw sound inferences; Able to formulate and implement an appropriate hypothesis test to determine statistical significance. (c) Cognitive Skills: The key challenge for this module is for students to be able to analyze data and to be able to assess data quality. They will also further understand the mathematical processes of data manipulation especially with regard to improving signal to noise ratios.(d) Subject-Specific/Professional Skills Know how to analyse data from a range of techniques. Able to implement data mining, parameter estimation, and appropriate statistical tests."

Timetabled teaching activities

Lectures for the module 24 hours; Workshops for the module 8 hours; Seminars for the module 6 hours; Total contact hours 38 hours;

Departmental link

http://www2.warwick.ac.uk/fac/sci/moac/degrees/modules/ch923/

Module assessment

Assessment group	Assessment name	Percentage
10 CATS (Module code: CH923-10)
C (Assessed/examined work)	Assessed work	50%
	Class Test (locally held)	50%

Module availability

This module is available on the following courses:

Core

N/A

Optional Core

• Postgraduate Taught Interdisciplinary Biomedical Research (B91Z) - Year 1

Optional

• Postgraduate Taught Scientific Research and Communication (F1PE) - Year 2
• Postgraduate Taught Analytical Science: Methods and Instrumental Techniques (F1PG) - Year 2
• Postgraduate Taught Analytical Science: Methods and Instrumental Techniques (F1PG) - Year 3