course-details-portlet

TBT4165

System Biology and Biological Networks

Assessments and mandatory activities may be changed until September 20th.

Credits 7.5
Level Second degree level
Course start Spring 2026
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement School exam

About

About the course

Course content

This class will give an introduction to systems biology methods in modeling and analysis of cellular networks. This course has a special emphasis on (1) biological interaction networks, and (2) genome-level cellular metabolism. Students will learn through lectures and applied projects, and gain hands-on experience using Python programming. An interdisciplinary presentation of the topics will be emphasized, making the class accessible to students with a background in computer science, biology, chemistry, and physics.

Learning outcome

At the completion of this course, the students are expected to be able to:

  • Explain basic concepts, models, and statistical measures to characterize the properties of general networks, as well as using Python programming tools to analyze empirical networks.
  • Explain basic concepts, principles and methods of metabolic engineering.
  • Explain the organization and construction process of genome-scale metabolic networks, explain the principles behind constraint-based analysis (especially Flux Balance Analysis), as well as being proficient in the use of Python programming tools for the numerical analysis of empirical models.

Learning methods and activities

Lectures will be given in English.

Compulsory assignments

  • Exercises

Further on evaluation

If there is a re-sit examination, the examination form may be changed from written to oral.

Course materials

  • B.O.Palsson "Systems Biology: Constraint-based Reconstruction and Analysis" 2nd edition (2015).
  • A.-L. Barabási "Network Science" (2016).
  • Compendium.

Subject areas

  • Biophysics
  • Bioinformatics
  • Biology
  • Biotechnology
  • Technological subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Biotechnology and Food Science

Examination

Examination

Examination arrangement: School exam
Grade: Letter grades

Ordinary examination - Spring 2026

School exam
Weighting 100/100 Examination aids Code D Duration 4 hours Exam system Inspera Assessment Place and room Not specified yet.

Re-sit examination - Summer 2026

School exam
Weighting 100/100 Examination aids Code D Duration 4 hours Exam system Inspera Assessment Place and room Not specified yet.