Computational Biology

Course manual 2023/2024

Course content

Computational modelling focuses on modelling and analysis of biological systems. Emphasis will be on the modelling of regulatory networks and metabolic pathways.and cell-based modelling techniques. Examples will be discussed from systems biology and biomedical applications. A brief introduction to the biological background needed will be provided in this course.

Study materials

Literature

• To be announced.

Objectives

• Knowledge. The student has basic knowledge about different techniques modelling biochemical reactions, metabolic pathways, regulatory networks and cells (Boolean networks, coupled ordinary differential equations, examples of partial differential equations, optimization techniques, cell-based models) 
• Skills: The student is able to develop a (simple example) of a spatio-temporal computational model of biochemical reactions, biochemical networks and gene regulation

Teaching methods

• Lecture
• Computer lab session/practical training

Lectures and practical assignments.

Attendance

This programme does not have requirements concerning attendance (Ter part B).

Assessment

lab assignments 50% exam 50%

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

Contact information

Coordinator

• dr. J.A. Kaandorp