Requirements
Transitional agreements
Offices
Time tables
MASTER COURSE
Curricula (Chemical Engineering or Material Science and Engineering)
Curricula (Biomedical Engineering)
Internship
Thesis |
| 1ST YEAR-2ND SEMESTER | | THERMODYNAMICS OF LIVING SYSTEM | The Laws of Thermodynamics. Phase equilibria. Chemical equilibria. Solvation. Osmosis. Surface tension. Dialysis. Donnan equilibrium. Electrolyte solutions. Membrane transport. Protein solubility and stability. Binding equilibria. Energy transduction in biological membranes. DNA Hybridization.
READ MORE... | | TRANSPORT PHENOMENA IN LIVING SYSTEMS | Transport phenomena are of great importance in quite diverse fields of living systems science and technology, such as medicine, biology, biotechnology and tissue and environmental engineering. This course aims at providing the basic tools necessary to understand, model and predict the momentum and mass transfer phenomena taking place in living or artificially related systems. Topics will include transport in biological organs and systems, controlled drug delivery, and tissue engineering.
READ MORE... | | MICROFLUIDICS FOR LAB-ON-CHIP | Microfluidics relates to flows in structures or systems with characteristic dimensions in the order of 1 μm. Microfabricated devices have driven revolutionary changes in our ability to manipulate tiny volumes of fluid and/or suspended micro- and nanoparticles. This, in turn, has led to a variety of practical applications ranging from chemical and particulate separation and analysis, to biological characterization, to sensors, to cell capture and counting. The geometries, the characteristic length scales, and the materials used in these processes lead to very specific physical phenomena and flow regimes.
This course is designed with the goal of bringing together fluid mechanics, electrodynamics, interfacial chemistry and computer simulations to prepare the modern bioengineer to analyze and model continuum fluid-mechanical systems encountered when working with microfabricated devices.
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| | SYSTEMS AND SYNTHETIC BIOLOGY | By the end of the course, the student will be able to build and analyse quantitative models of gene networks and signaling pathways in the framework of Systems Biology. The student will also be able to design synthetic genetic circuits using biological parts in bacteria, yeast and mammalian cells to perform useful function with biotechnological and biomedical applications.
Recap of linear system theory. Stability of equilibrium points (Lyapunov functions). Graphical methods for the analysis of low-dimensional systems. Introduction to structural stability, bifurcation theory. State observers and Kalman filters. Nonlinear control: Model Predictive Control, Sliding Mode Control. Transcriptional regulatory networks and network motifs.Transcription factor mediated positive and negative feedback loops. Feedback and Feedforward Loops. Introduction to biological noise and cell to cell variability. Modelling the effect of microRNAs. Models of cellular signaling pathways. Basic synthetic circuits: The toggle-switch and the repressilator. Synthetic oscillators. Synthetic biosensors. Real-time feedback control of gene expression.
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