Course Name: Computational Systems Biology

Course abstract

Every living cell is the result beautifully concerted interplay of metabolic, signalling and regulatory networks. Systems biology has heralded a systematic quantitative approach to study these complex networks, to understand, predict and manipulate biological systems. Systems biology has had a positive impact on metabolic engineering as well as the pharmaceutical industry. This course seeks to introduce key concepts of mathematical modelling, in the context of different types biological networks. The course will cover important concepts from network biology, modelling of dynamic systems and parameter estimation, as well as constraint-based metabolic modelling. Finally, we will also touch upon some of the cutting-edge topics in the field. The course has a significant hands-on component, emphasizing various software tools and computational methods for systems biology.

Course Instructor

Media Object

Karthik Raman

Dr. Karthik Raman is an Assistant Professor at the Department of Biotechnology, Indian Institute of Technology Madras since April 2011. Karthik’s research group at IIT Madras works on the development of algorithms and computational tools to understand, predict and manipulate complex biological networks. The key areas of research in his group encompass in silico metabolic engineering, biological networks and biological data analysis. Karthik also co-ordinates the Initiative for Biological Systems Engineering at IIT Madras and is a core member of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI).
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Teaching Assistant(s)

Aarthi R

M. Tech Biotechnology


Malvika Sudhakar

M.E. Biotechnology


Gayathri S

I am currently doing PhD in Computational Systems Biology. I have an Mtech in Biopharmaceutical technology


 Course Duration : Jul-Oct 2018

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 Enrollment : 18-Apr-2018 to 30-Jul-2018