Details zur Lehrveranstaltung
| Network Dynamics and Research on Complex Systems | |
| Modul: | Phy-Ba-PV: Physikalische Vertiefung |
| Vorlesungssprache | Englisch |
| Inhalt der Lehrveranstaltung: | Complex Systems are all around us and most of them are dynamic. Many systems show properties of networks, with many units interacting via intricate topologies. Examples include neural networks in the brain, electric power grids, air transportation networks as well as metabolic or gene regulatory networks in the cell. To understand their collective behavior is far from trivial. Here, we learn methods and tools to grasp why physics thinking may contribute substantially to understand collective structural and dynamical phenomena and the mechanisms underlying them, why some systems may be more complex than others and how to approach analyzing, predicting or even controlling multi-dimensional complex dynamical systems. The course will take place online via Zoom with the option for in-person lectures to be discussed during the course and depending on the situation later in the semester. More details are available in the OPAL course. |
| Datensatz aktualisiert | |
| Umfang: | |
| Zeit/Ort: | MI(5) online DO(3)ugW. BAR/I88 |
| Hörerkreis: | Vertiefung Bachelor (PV) und Master (alle) |
| Vertiefungsgebiet: | |
| Vorkenntnisse: | Grundlagen der Statistischen Physik | Nachweis: | Schriftliche Projektarbeit und Kurzvortrag |
| Einschreibung: | Einschreibung vor Kursbeginn in OPAL |
| Web-Referenz: | https://bildungsportal.sachsen.de/opal/auth/RepositoryEntry/29335552006 |