Bitte beachten Sie die für das Proseminar zusammengestellten allgemeinen Informationen unter https://box.fu-berlin.de/s/EnnbH2g257bJF8a

Im Zentrum des Seminars steht die Erarbeitung und Wiederentdeckung der Lebensgeschichten und des Wirken einiger bedeutender Mathematikerinnen und Informatikerinnen im 19. und 20. Jahrhundert. Betrachtet werden z.B. das Leben und Werk von Sophie Germaine (1776-1831), Ada Lovelace (1815-1852), Sonja Kovalevskaya (1850-1891), Emmy Noether (1882-1935), Ruth Moufang (1905-1977), Grace Murray Hopper (1906-1992) und weiterer Wissenschaftlerinnen.

Im Seminar geht es nicht darum, diese Frauen als Ausnahmeerscheinung hervorzuheben, denn dies würde sie lediglich auf ihren Exotinnenstatus festschreiben. Es geht vielmehr um eine historische Kontextualisierung deren Leben und Werk. Dies ermöglicht nicht nur eine exemplarische Auseinandersetzung mit gesellschaftlichen wie fachkulturellen Inklusions- und Exklusionsprozessen entlang der Kategorie Geschlecht, sondern auch die Entwicklung neuer Sichtweisen auf die tradierte Kulturgeschichte beider Disziplinen. Das Seminar basiert auf dem Ansatz eines forschenden oder entdeckenden Lernens, d.h. die Studierenden werden selbständig in Gruppenarbeiten einzelne Seminarthemen vorbereiten und präsentieren. Diese Präsentationen werden dann im Seminar diskutiert. Durch den Einsatz von Beobachtungsbögen soll zudem eine Feedbackkultur erprobt werden, die im späteren Berufsalltag im Umgang mit Schüler*innen und/oder Kolleg*innen hilfreich ist.

Für MathematikerInnen und InformatikerInnen im Monobachelor als ABV anrechenbar!

Dieses Proseminar richtet sich ausdrücklich an Lehramtsstudierende bereits ab dem 2. Fachsemester Mathematik.
Es folgt einem neuen Konzept, das wir erproben wollen, um schon zu Beginn des Lehramtsstudiums bereits den Blick stärker in Richtung Schule und Unterricht wenden zu können. Auch höhere Semester sind willkommen.

Literatur wird im Seminar bekannt gegeben.

Der Titel dieses Seminares ist „Was genau soll ich unterrichten? Schulmathematik neu entdeckt“.

Dabei werden wir ausgewählte Lehrplanthemen gründlich durchdenken und das dafür benötigte Fachwissen genauer beleuchten. Eine solche „Sachanalyse“ ist die Basis für jegliche Unterrichtsplanung, wie sie in den späteren Fachdidaktik-Modulen Stück für Stück erarbeitet wird. Eine aktive Mitarbeit in den Seminarsitzungen wird erwartet. (Die Themen dieses Proseminars eigenen sich evtl. nicht als Themen für die in der Fachwissenschaft anzufertigende Bachelorarbeit!)

In this seminar, differential geometric topics will be independently developed based on current research and presented in the form of a talk.

Particular emphasis is placed on the concrete implementation of differential geometric concepts in application scenarios and the questions of discretization and implementation.

Learning objectives are a deeper understanding of differential geometry concepts, as well as problems and solution strategies in their practical use.

Previous knowledge: Differential geometry I

In this seminar, differential geometric topics will be independently developed based on current research and presented in the form of a talk.

Particular emphasis is placed on the concrete implementation of differential geometric concepts in application scenarios and the questions of discretization and implementation.

Learning objectives are a deeper understanding of differential geometry concepts, as well as problems and solution strategies in their practical use.

Previous knowledge: Differential geometry I

In this seminar, differential geometric topics will be independently developed based on current research and presented in the form of a talk.

Particular emphasis is placed on the concrete implementation of differential geometric concepts in application scenarios and the questions of discretization and implementation.

Learning objectives are a deeper understanding of differential geometry concepts, as well as problems and solution strategies in their practical use.

Previous knowledge: Differential geometry I

In this seminar, differential geometric topics will be independently developed based on current research and presented in the form of a talk.

Particular emphasis is placed on the concrete implementation of differential geometric concepts in application scenarios and the questions of discretization and implementation.

Learning objectives are a deeper understanding of differential geometry concepts, as well as problems and solution strategies in their practical use.

Previous knowledge: Differential geometry I

Starting point of this MATH+ student research group is the Vahana framework for large-scale
agent-based models, i.e. models that define a (social) system at the micro level of actors and
their interactions with each other and with their environment. Vahana represents an agent-based
model as an extended synchronous graph dynamical system (SysGDS), where agents are nodes
in the graph and edges determine neighborhoods or interactions. To run large-scale agent-based
models, a simulation must be parallelized, that is, the graph must be partitioned, so that each
computational process is only responsible for updating the states of a subset of the agents. This
research group seminar aims to improve the graph partitioning strategies of Vahana.
 

In this course, small groups of students shall work on
• implementing an example ABM using Vahana; the programming language is Julia
• obtaining an overview of graph partitioning algorithms and the study of one particular algo-
rithm in view of Vahana
• adjusting an algorithm to the extended SysGDS structure and implementing it, again in Julia

In this seminar, differential geometric topics will be independently developed based on current research and presented in the form of a talk.

Particular emphasis is placed on the concrete implementation of differential geometric concepts in application scenarios and the questions of discretization and implementation.

Learning objectives are a deeper understanding of differential geometry concepts, as well as problems and solution strategies in their practical use.

Previous knowledge: Differential geometry I

Starting point of this MATH+ student research group is the Vahana framework for large-scale
agent-based models, i.e. models that define a (social) system at the micro level of actors and
their interactions with each other and with their environment. Vahana represents an agent-based
model as an extended synchronous graph dynamical system (SysGDS), where agents are nodes
in the graph and edges determine neighborhoods or interactions. To run large-scale agent-based
models, a simulation must be parallelized, that is, the graph must be partitioned, so that each
computational process is only responsible for updating the states of a subset of the agents. This
research group seminar aims to improve the graph partitioning strategies of Vahana.
 

In this course, small groups of students shall work on
• implementing an example ABM using Vahana; the programming language is Julia
• obtaining an overview of graph partitioning algorithms and the study of one particular algo-
rithm in view of Vahana
• adjusting an algorithm to the extended SysGDS structure and implementing it, again in Julia

In this seminar, differential geometric topics will be independently developed based on current research and presented in the form of a talk.

Particular emphasis is placed on the concrete implementation of differential geometric concepts in application scenarios and the questions of discretization and implementation.

Learning objectives are a deeper understanding of differential geometry concepts, as well as problems and solution strategies in their practical use.

Previous knowledge: Differential geometry I

Starting point of this MATH+ student research group is the Vahana framework for large-scale
agent-based models, i.e. models that define a (social) system at the micro level of actors and
their interactions with each other and with their environment. Vahana represents an agent-based
model as an extended synchronous graph dynamical system (SysGDS), where agents are nodes
in the graph and edges determine neighborhoods or interactions. To run large-scale agent-based
models, a simulation must be parallelized, that is, the graph must be partitioned, so that each
computational process is only responsible for updating the states of a subset of the agents. This
research group seminar aims to improve the graph partitioning strategies of Vahana.
 

In this course, small groups of students shall work on
• implementing an example ABM using Vahana; the programming language is Julia
• obtaining an overview of graph partitioning algorithms and the study of one particular algo-
rithm in view of Vahana
• adjusting an algorithm to the extended SysGDS structure and implementing it, again in Julia