Individual modules in Bioinformatics and Computational Modelling
A single course can be an excellent route to improving your skills, and many employers will sponsor staff as a means of developing the workforce.
Our modules may be studied as short courses, or may count towards one of the formal qualifications described on the next page. The table below gives a summary of all the modules that we offer.
For further details, including the technical requirements, please follow the link on the left to the course in which you are interested.
If you have any additional questions, or you need advice on sponsorship, please contact Heather Vincent.
| MODULE | CONTENT |
RECOMMENDED PREPARATION |
TIMETABLING |
|---|---|---|---|
| Introduction to Bioinformatics | Use of programs for sequence analysis (sequence alignment, motif search, protein structure and gene prediction). | Autumn semester | |
|
Bioinformatics for Systems Biology
|
An introduction to modelling, covering the management and use of data for a systems approach to biology. | Introduction to Bioinformatics, or equivalent knowledge and experience. | Autumn semester |
|
Mathematics for metabolic modelling
|
An introduction to the basic mathematical skills, concepts and ideas that underpin the modelling of biological systems. | Spring semester | |
| Introduction to software development in Java | An introduction to software development and the Java programming language, emphasising good programming practice. | Autumn and Spring semesters | |
| Theory and Applications in Bioinformatics | Mathematics underlying the sequence analysis techniques used in Introduction to Bioinformatics | Introduction to Bioinformatics, Introduction to software development in Java, or equivalent | Autumn semester |
|
Introduction to microarray data analysis
|
Microarray data analysis using either maxdview or R/Bioconductor. Focuses on data modelling for systems biology, so complements 'Bioinformatics for Systems Biology'. |
Practical experience with microarrays or Introduction to Bioinformatics |
Spring semester |
| Databases and data modelling | Introduces students to the fundamental concepts in databases. The focus is on the database designer and application developer, rather than on the implementation and technology aspects of database management systems. | An understanding of mathematical 'Set Theory' and it's notation is required for this course. | Spring semester |
| Biocomputing | Data modelling and application design. Students design one application using perl. The second project focusses on database design. | Knowledge and/or experience of programming. | Spring semester |
| Object-oriented analysis and design with UML | This course aims to to teach, using UML, the concepts, tasks and notation of object-oriented design. | Knowledge and/or experience of programming in at least one high-level imperative language (object-oriented or structured eg Java, Smalltalk, Eiffel, C, Ada, Modula or C++). | Spring semester |
|
Introduction to Ontologies for the Biosciences
|
This module aims to provide both the theoretical foundations of ontology design and hands-on experience in the construction of ontologies within the Protégé-OWL environment. | Introduction to Bioinformatics | Spring semester |
Developed with support from the Biotechnology and Biological Sciences Research Council