Module 1: Introduction to Biology and Programming Module 2: Essentials of Mathematics and Statistics Module 3: Genomics & Next Generation Sequencing Module 4: Data Analytics & Statistical Machine Learning Module 5: Metabolomics and advanced (omics) Module 6: Computational Biology for Complex Systems Module 7: Scientific Communication
The incoming student needs to meet the learning objectives of Modules 1, 2, 3, 4, 5, 6 and 7.
Exclusions
Description
This module will put student in real-life situation of a bioinformatics project with practical problem to solve proposed by an academic member of UoB. They will have to find the relevant literature, and apply the relevant analytical methods to generate new information that will be presented in a written report and orally
Learning Outcomes
y the end of the module students should be able to:
Present in written and oral form their topic background, approach, analysis, results and conclusions
Perform a bioinformatics analysis and/or development for the project
Effective application of Computing, Algorithmic and Programming that enables the student to develop critiques of them and, where appropriate, propose new methods
Demonstrate self-direction and originality in tackling and solving problems to perform the appropriate Modelling and Optimization
Demonstrate the use and application of the qualities and transferable skills necessary for employment requiring the exercise of initiative and personal responsibility, decision making in complex and unpredictable situations, and the independent learning ability required for continuing professional development
Assessment
Assessment Methods & Exceptions
Assessment: The course work component will include the following:
Report in scientific article style (4000-5000 words) 80%
Individual oral Presentation 20%
Reassessment: Upon failure of the dissertation, the student can resubmit an updated report on the same project.
