Intended learning outcomes
- Introduce students to Cellular systems engineering, their constituents, and functions.
- Understanding how molecules interact to form complex functional systems.
- Explore experimental approaches for the design of complex biological systems (artificial cellular niches, organoids, organ-on-a-chip).
- Present and analyze omics and computational tools for data analysis.
- Address mathematical concepts for modeling complex biological systems and network analysis.
Upon successful completion of this course, students should be able to:
- Identify and understand the main methodologies used to characterize complex systems in modern bioengineering and biomedicine.
- Apply and critically discuss current needs and limitations of multi-scale data integration to represent biological systems.
- Understand different omics approaches to characterize and interpret of biological systems.
- Critically evaluate these approaches in Precision Medicine, disease Biomarker discovery, and the development of Biomedical Technologies.