| Spreading processes and learning in living systems |
Veranstaltungstyp: Vorlesung mit Übung |
Ort: (MPIDS 0.79 Am Faßberg 17, Seminarraum EG (MPIDS)): Mo. 16:00 - 18:00 (13x),
(SR11, C.03.101 (Fakultät Physik)): Di. 16:00 - 18:00 (14x),
(HS3, A.00.105 (Fakultät Physik)): Dienstag, 30.07.2024 12:00 - 18:00 |
Semester: SoSe 2024 |
Zeiten: Mo. 16:00 - 18:00 (wöchentlich),
Di. 16:00 - 18:00 (wöchentlich) - Vorlesung,
Termine am Dienstag, 30.07.2024 12:00 - 18:00 Erster Termin: Montag, 08.04.2024 16:00 - 18:00, Ort: (MPIDS 0.79 Am Faßberg 17, Seminarraum EG (MPIDS)) |
Veranstaltungsnummer: 530001 |
Lernorganisation: In this course, we will study the fundamentals of spreading processes and learning in complex systems using concepts from non-linear dynamics and statistical physics. We will introduce the theoretical and methodological tools required to study spreading and learning in three
contexts: disease spread in contact networks, information spread and opinion formation in social networks, and collective dynamics and learning in neural networks. Interestingly, when characterizing the phase-space of these systems, we find similar emerging dynamics and structures across all, infectious disease spread, societal dynamics, and neural network activity. |
Leistungsnachweis: →Ab hier automatisch erfasste Informationen / Beyond this point, the information is filled in automatically←
Prüfungsleistung(en) je Modul / Exam details per module:
* [(B.Phy.5602.Kl) Theoretical and Computational Neuroscience II (written exam)][1]
* Klausur: Di, 30.07.2024, von 16:00:00 bis 18:00:00
* [(B.Phy.8202.1) Prüfung zur Angewandten Informatik in der Physik IIa][2]
* Klausur: Di, 30.07.2024, von 16:00:00 bis 18:00:00
* [(B.Phy.8202.2) Prüfung zur Angewandten Informatik in der Physik IIb][3]
* Klausur: Di, 30.07.2024, von 16:00:00 bis 18:00:00
[1]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=35686&periodId=272
[2]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=38886&periodId=272
[3]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=38887&periodId=272 |
Sonstiges: Living systems, from cells and organisms to ecosystems and societies, can be described as non-equilibrium systems that are constantly changing. Simple interaction rules and self-organization between their components give rise to complex dynamics, emergent structures, and potentially even efficient information processing. To understand how these interactions work and how they affect the dynamics and function of the systems, we need to examine the physical principles of their interactions, and how these are self-regulated. We will have short weekly exercises, and students will require 50% to take the exam. |
Weitere Informationen aus Stud.IP zu dieser Veranstaltung |
Heimatinstitut: Institut für Dynamik komplexer Systeme In Stud.IP angemeldete Teilnehmer: 30 Anzahl der Postings im Stud.IP-Forum: 4 Anzahl der Dokumente im Stud.IP-Downloadbereich: 19 |
Link zu Stud.IP 
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