Mustafa Hani Khammash: Catalogue data in Autumn Semester 2018 |  |
| Name | Prof. Dr. Mustafa Hani Khammash |
| Field | Control Theory and Systems Biology |
| Address | Regelungstheorie u. Systembiologie ETH Zürich, BSS J 13.2 Klingelbergstrasse 48 4056 Basel SWITZERLAND |
| Telephone | +41 61 387 33 56 |
| mustafa.khammash@bsse.ethz.ch | |
| URL | http://www.bsse.ethz.ch/ctsb |
| Department | Biosystems Science and Engineering |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 227-0920-00L | Seminar in Systems and Control | 0 credits | 1S | F. Dörfler, R. D'Andrea, E. Frazzoli, M. H. Khammash, J. Lygeros, R. Smith | |
| Abstract | Current topics in Systems and Control presented mostly by external speakers from academia and industry | ||||
| Learning objective | see above | ||||
| 636-0102-00L | Advanced Bioengineering | 4 credits | 3S | S. Panke, Y. Benenson, P. S. Dittrich, M. Fussenegger, A. Hierlemann, M. H. Khammash, D. J. Müller, R. Paro, R. Platt, T. Schroeder | |
| Abstract | This course provides an overview of modern concepts of bioengineering across different levels of complexity, from single molecules to systems, microscaled reactors to production environments, and across different fields of applications | ||||
| Learning objective | Students will be able to recognize major developments in bioengineering across different organisms and levels of complexity and be able to relate it to major technological and conceptual advances in the underlying sciences. | ||||
| Content | Molecular and cellular engineering; Synthetic biology: Engineering strategies in biology; from single molecules to systems; downscaling bioengineering; Bioengineering in chemistry, pharmaceutical sciences, and diagnostics, personalized medicine. | ||||
| Lecture notes | Handouts during class | ||||
| Literature | Will be announced during the course | ||||
| 636-0118-00L | Introduction to Dynamical Systems with Applications to Biology | 4 credits | 3G | M. H. Khammash, A. Gupta | |
| Abstract | Many physical systems are dynamic and are characterized by internal variables that change with time. Describing the quantitative and qualitative features of this change is the topic of dynamical systems theory. Dynamical systems arise naturally in virtually all scientific disciplines including physics, biology, chemistry and engineering. This course is a broad introduction to the topic dynamical s | ||||
| Learning objective | The goal of this course is to introduce the student to dynamical systems and to develop a solid understanding of their fundamental properties. The theory will be developed systematically, focusing on analytical methods for low dimensional systems, geometric intuition, and application examples from biology. Computer simulations using matlab will be used to demonstrate various concepts | ||||
| Content | A dynamical view of the world; the importance of nonlinearity; solutions of differential equations; solving equations on the computer; the phase plane; fixed points and stability; linear stability analysis; classifications of linear systems; Liapunov functions and nonlinear stability; cycles and oscillations; bifurcations and bifurcation diagrams. Many biological examples will be used through the course to demonstrate the concepts | ||||
| Lecture notes | Will be provided as needed. | ||||
| Literature | Strogatz, S. H. (2018). Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering. CRC Press. Segel, L. A., & Edelstein-Keshet, L. (2013). A Primer in Mathematical Models in Biology (Vol. 129). SIAM. | ||||
| Prerequisites / Notice | Prerequisites: Calculus; a first course in differential equations; basic linear algebra (eigenvalues and eigenvectors). Matlab programming. | ||||
| 636-0301-00L | Current Topics in Biosystems Science and Engineering For doctoral students only. Master's students cannot receive credits for the seminar. | 2 credits | 1S | R. Platt, N. Beerenwinkel, Y. Benenson, K. M. Borgwardt, P. S. Dittrich, M. Fussenegger, A. Hierlemann, D. Iber, M. H. Khammash, D. J. Müller, S. Panke, R. Paro, S. Reddy, T. Schroeder, T. Stadler, J. Stelling | |
| Abstract | This seminar will feature invited lectures about recent advances and developments in systems biology, including topics from biology, bioengineering, and computational biology. | ||||
| Learning objective | To provide an overview of current systems biology research. | ||||
| Content | The final list of topics will be available at https://www.bsse.ethz.ch/news-and-events/seminar-series.html | ||||