Systems Biology and Knowledge Representation, 7.5 Credits

Systems Biology is about formalising biological knowledge into computer models that can help us understand how system level functions emerge from biological mechanisms. By encoding biological knowledge in a strict format, Systems Biology enables the use of computation to reason about biological hypotheses. Hence, it has a clear interface with the Artificial Intelligence field of Knowledge Representation, which focuses on formalising knowledge and enabling machine reasoning.

The course will focus on techniques for finding and formalising biological knowledge in knowledge models; on computational methods for visualising and reasoning on those models; on using those models and tools to rationalise and understand biological functions; and on the systems biology cycle of prediction and experimental validation for model refinement.

Essentially, this course focuses on leveraging computation in hypothesis driven research, and it involves both traditional (systems) biological and artificial intelligence methods.

This course can be taken together with the parallel course Exposome and human health, 7.5 credits. This course is also included as a module in the course Exposome and systems biology in human health and disease, 15 credits.

ECTS Credits

7.5 Credits

Level of education

Second cycle, has only first-cycle course/s as entry requirements (A1N)

School

School of Medical Sciences