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Basics of Bioinformatics and Systems Biology - Period 1
Business & Economics Program
Amsterdam, Netherlands
Dates: 8/15/25 - 6/27/26
Basics of Bioinformatics and Systems Biology - Period 1
OVERVIEW
CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Biology
Instruction in: English
Course Code: X_401094
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 84
DESCRIPTION
How does the behavior of complex systems emerge from their simple components? How can we use available large datasets to discover new biology? The course Basics of Bioinformatics and Systems Biology provides an introduction to how we can address these questions.
Systems Biology studies the principles of how the properties of cells and higher levels of organisation emerge from molecular interactions using quantitative experiments, computer modelling, and theory. We will study a number of theoretical findings of systems biology about the dynamics and regulation of molecular networks inside living cells using small "toy" mathematical models and basic principles of biochemistry and physics.
Bioinformatics uses computational techniques to extract biological meaning and insights on function from DNA/RNA/protein sequences. In practical sessions, we will work on a bioinformatics benchmark, gaining hands-on experience with algorithms and uncovering areas for further advancement in this rapidly evolving research field.
The course follows a two-part structure: Systems Biology in the first half of the course and Bioinformatics in the second. Each part comes with its own learning goals that will be assessed in individual exams.
Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.
Systems Biology studies the principles of how the properties of cells and higher levels of organisation emerge from molecular interactions using quantitative experiments, computer modelling, and theory. We will study a number of theoretical findings of systems biology about the dynamics and regulation of molecular networks inside living cells using small "toy" mathematical models and basic principles of biochemistry and physics.
Bioinformatics uses computational techniques to extract biological meaning and insights on function from DNA/RNA/protein sequences. In practical sessions, we will work on a bioinformatics benchmark, gaining hands-on experience with algorithms and uncovering areas for further advancement in this rapidly evolving research field.
The course follows a two-part structure: Systems Biology in the first half of the course and Bioinformatics in the second. Each part comes with its own learning goals that will be assessed in individual exams.
Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.