The Summer School analyses three main themes of challenges to European integration at three different venues: Globalization (Vienna), Europeanization (Prague) and the EU in times of crisis (Munich). Seminar sessions in Vienna and Prague are introductory in nature while focusing on their respective main themes. During the Munich part of the program, participants will learn more about the most recent challenges and crises in the EU, and the solutions proposed to overcome these.  

Public Diplomacy lässt sich als einen Kommunikationsprozess beschreiben, mit Hilfe dessen Regierungen versuchen ausländische Öffentlichkeiten von ihren Intentionen, Ideen und Idealen zu überzeugen (vgl. Tuch, 1990). Ziel ist es dabei im Ausland Unterstützung für die eigene (Außen)Politik zu erlangen.

Spätestens seit Amerikas Kampf um die „hearts and minds“ der irakischen Bevölkerung 2003 hat der Forschungsgegenstand massiv an Popularität gewonnen und wird im globalen Kontext von Australien (Chitty, 2009) bis Israel (Sheafer & Gabay 2009) untersucht. Rapide beschleunigt wurde dies natürlich durch das Aufkommen sozialer Medien und der rapiden Verbreitung von Informationen – auch aus vorher nicht zugänglichen Regionen.

Die Veranstaltung wird ausgehend vom Diplomatie- und Öffentlichkeitsbegriff zunächst „Public Diplomacy“ konzeptualisieren und zu Begriffen wie „Nation Branding“ und Propaganda in Relation setzen. Im zweiten Teil der Veranstaltung wird ein Forschungsprojekt zum Thema konzipiert und realisiert.

Syllabus:

1. Overview
2. Fundamentals and Properties of Stochastic Processes
3. Univariate ARIMA-Processes
4. Estimation and Forecasting of ARIMA-Models
5. Univariate GARCH-Models + Extensions
6. Selected aspects: Long Memory und Fractional Differencing, Threshold-Models

Intended audience: Advanced bachelor and master students of statistics, mathematics, informatics, economics and business administration.

Prerequisites: Solid mathematical foundations (analysis and linear algebra), basic knowledge in econometrics (econometrics 1) or statistics (linear models).

Teaching Style: Online via Zoom and Moodle

Examination: (written) Exam

Record of Achievement: 6 ECTS

Time Schedule

The lectures and tutorials take place between 21.04.2020 (first lecture) and 09.06.2020.

Formale Techniken und Argumentationen besitzen auch in den Sozial-, Geistes- und Wirtschaftswissenschaften eine große, und immer weiter wachsende, Bedeutung, stellen aber für viele, darauf nicht so gut vorbereitete Studierende eine sehr große Hürde dar. Im Rahmen eines fachübergreifenden Propädeutikums sollen nichtmathematikaffine Studierende der LMU sanft in die Formalisierung eingeführt und mit wesentlichen Techniken (wieder) vertraut gemacht werden.

Gerade unter den Herausforderungen der Corona-Situation ist es uns ein besonderes Anliegen, nicht-mathematikaffine Studienanfän-ger*innen in einem semesterbegleitenden Vorkurs zu begleiten und zu unterstützen.

Die Veranstaltung richtet sich sowohl an Studienanfänger als auch an Studierende die im Rahmen Ihres Studiums bereits auf Schwierigkeiten im Umgang mit formalen Methoden gestoßen sind.

Zielgruppe: Studierende der Geistes-, Sozial- und Wirtschaftswissenschaften

Einschreibeschlüssel (sowohl für Teilnehmer*innen, als auch für Gastzugang): CoVorMa

Login: please contact Fabian Scheipl

Dates & Overview

Syllabus:

1. Overview
2. Fundamentals and Properties of Stochastic Processes
3. Univariate ARIMA-Processes
4. Estimation and Forecasting of ARIMA-Models
5. Univariate GARCH-Models + Extensions
6. Selected aspects: Long Memory und Fractional Differencing, Threshold-Models

Intended audience: Advanced bachelor and master students of statistics, mathematics, computer science (Informatik), economics and business administration.

Prerequisites: Solid mathematical foundations (analysis and linear algebra), basic knowledge in econometrics (econometrics 1) or statistics (linear models).

Record of Achievement:

This course will cover the basics of quantum simulation, with a focus on cold-atom platforms. There will be two major directions: (i) Mapping quantum many-body models onto analog quantum-simulation platforms that are amenable for experimental realization, (ii) exploring the far-from-equilibrium properties of quantum many-body models. Crucial for both directions will be exact diagonalization methods, which will be a main focus of the course and the project component thereof. The course will have a research element to it, as we will be covering the latest in quantum simulation and far-from-equilibrium quantum many-body physics, and it will aim to bring the student up to speed on the state of the art in these fields. Quantum Mechanics I and II are prerequisites.

Master course 

• Master Statistics & Data Science – WP44 Advanced Statistical Modelling

• ESG Data Science – Elective

• Master Statistik (mit WiSo), Biostatistik – Ausgewählte Gebiete... oder Schätzen und Testen II (mit Zusatzleistung)

Date and time

Content: 

Bayesian methods have seen increasing use within statistics in the last couple of years. In Bayesian frameworks, prior knowledge can be integrated as prior distribution. These also allows to regularise parameters in large p>>n models via priors, up to the point where the prior becomes part of the statistical model itself.

In this course, advanced Bayesian models will be discussed. These include several types of latent models, in particular latent Gaussian fields, applied for example to time series and spatial data, mixed effect models and other structured regression models. The course will also cover different type of algorithms to assess the posterior, based on Monte Carlo methods and on approximation. Further topics include Bayesian model and variable selection and Bayesian classification.

Requirements: 

Students should be familiar with basics of Bayesian statistics.

Recommended: 

• Statistical inference
• Statistical modelling

Learning outcomes:

After successfully completing the course, students will be able 

• to understand Bayesian models 
• to apply Bayesian modelling for appropriate data
• to interpret the results of Bayesian models 
• to implement Bayesian models in standard software

Dieses Seminar bietet einen Überblick über die sprachwissenschaftlichen Eigenschaften tonaler Sprachen, insbesondere in Bezug auf deren Phonetik und Phonologie. Zu den behandelten Themen gehören u.a. die Typologie von Tonsystemen, die lexikalische und grammatikalische Verwendung von Ton, die Physiologie der Tonerzeugung, Tonogenese, Ton und Intonation sowie Musik in Tonsprachen.

This seminar will provide an overview of the linguistic properties of tone languages, with special attention to phonetics and phonology. Topics covered will include typology of tone systems; lexical and grammatical use of tone; the mechanics of tone production and perception; tonogenesis; tone and intonation; and tone and music.

Seminarbeschreibung:

Dieses Proseminar richtet sich an Sprachwissenschaftler*innen, die sich im Rahmen ihres Studiums mit korpusbasierter Forschung beschäftigen möchten. In diesem Seminar geht es zentral darum, Methodik, Grundlagenwissen und Handwerkszeug für spätere Untersuchungen zu erlernen und so kann diese Veranstaltung auch als Vorbereitung für spätere größere Seminar- oder Abschlussarbeiten genutzt werden.

Kerninhalte des Proseminars:

📑 Korpuslinguistische Paradigmen
📑 Korpora geschriebener und gesprochener Sprache
📑 Grundlegende Fragestellungen der korpuslinguistischen Forschung
📑 Recherche in Korpusdatenbanken
📑 Erstellung einfacher Korpora
📑 Auswertung von Korpusdaten

Literaturempfehlungen:

Fortgeschrittenenseminar NdL, SoSe 2023

Montag, 10–12 Uhr c. t.

Schellingstr. 3 Rgb., Raum 203

Dr. Margit Dirscherl

Sprechstunden nach Vereinbarung

margit.dirscherl@germanistik.uni-muenchen.de

Im Seminar wollen wir auf die vielfältige und wechselhafte Geschichte des Exiltheaters von 1933 bis 1945 zurückblicken. Gegenstand unserer Lektüre sind u. a. kanonisierte Dramen wie Bertolt Brechts Furcht und Elend des Dritten Reiches und Franz Werfels Komödie Jacobowsky und der Oberst, aber auch weniger bekannte Texte. Ferner wollen wir Dokumente betrachten, die einen Einblick in institutionelle und strukturelle Bedingungen gewähren und es uns erlauben, eine literatursoziologische Perspektive einzunehmen. Vereinzelt wollen wir auch jenen Aufmerksamkeit schenken, die in benachbarten Branchen Fuß fassten, z. B. im (propagandistisch genutzten) Rundfunk, wo sie – eine Ironie der Geschichte – ein größeres Publikum erreichten, als sie es im Theater je hätten haben können.

Entropy is defined as a measurable physical property that is most commonly associated with a state of disorder, randomness, or uncertainty. It is strongly connected with probability distributions and the principle of maximum entropy can be very useful in statistical inference, in particular in Bayes statistics. In this course we will introduce the concept of entropy in the context of information theory as well as apply the concepts on real data sets.

Syllabus

1. Introduction and Preview
2. Entropy, Relative Entropy, and Mutual Information
3. Asymptotic Equipartition Property
4. Entropy Rates of a Stochastic Process
5. Differential Entropy
6. Information Theory and Statistics

Target audience: 

• Advanced Bachelor Statistics (e.g. "Ausgewählte Gebiete der angewandten Statistik B", 3 ECTS)
• Master Statistics, Biostatistics, Statistics (WiSO), (e.g. "Ausgewählte Gebiete der ... Statistik B", 3 ECTS)
• ESG Data Science (3 ECTS Elective Course)

Date and Time: April 16th to May 28th (!), Friday 2pm to 6pm

Exam: Midterm & Final Exams (Written Exams)

The course will be held online in English.

Code for course enrollment: Information 

Beschreibung des Kurses

Financial econometrics is the subfield of econometrics that investigates the theory of financial markets and the products that comes with it. A special feature of financial data are the so-called "stylized facts", which do not exist in a comparable way in any field of empirical economics. These properties are significant in two respects: On the one hand, they have led to the falsification or modification of popular, theoretical models in the past. On the other hand, they have been the impetus for the development of models that have been extremely successful in practice. In this course we will study advanced technics of this field.

Master course 

• Master Statistics & Data Science – WP44 Advanced Statistical Modelling
• ESG Data Science – Elective
• Master Statistik (mit WiSo), Biostatistik – Ausgewählte Gebiete... oder Schätzen und Testen II (mit Zusatzleistung)
  

Bayesian methods have seen increasing use within statistics in the last couple of years. In Bayesian frameworks, prior knowledge can be integrated as prior distribution. These also allows to regularise parameters in large p>>n models via priors, up to the point where the prior becomes part of the statistical model itself.

In this course, advanced Bayesian models will be discussed. These include several types of latent models, in particular latent Gaussian fields, applied for example to time series and spatial data, mixed effect models and other structured regression models. The course will also cover different type of algorithms to assess the posterior, based on Monte Carlo methods and on approximation. Further topics include Bayesian model and variable selection and Bayesian classification.

Requirements: 

Students should be familiar with basics of Bayesian statistics.

Recommended: 

• Statistical inference
• Statistical modelling

Learning outcomes:

After successfully completing the course, students will be able 

• to understand Bayesian models 
• to apply Bayesian modelling for appropriate data
• to interpret the results of Bayesian models 
• to implement Bayesian models in standard software

Entropy is defined as a measurable physical property that is most commonly associated with a state of disorder, randomness, or uncertainty. It is strongly connected with probability distributions and the principle of maximum entropy can be very useful in statistical inference, in particular in Bayes statistics. In this course we will introduce the concept of entropy in the context of information theory as well as apply the concepts on real data sets.

Syllabus

1. Introduction and Preview
2. Entropy, Relative Entropy, and Mutual Information
3. Asymptotic Equipartition Property
4. Entropy Rates of a Stochastic Process
5. Differential Entropy
6. Information Theory and Statistics

Schedule:  The course will be held online in English.

Information Theory and Entropy for Master Statistics and Data Science, Master Data Science, Master Statistik, Master Biostatistik, Master Statistik WiSo.

Enrollment key: entropy

Program

This module gives an introduction to the wide field of quantum optics. Subjects will include: from ray to wave optics, Gaussian beams, field quantization, Fock states, coherent states, squeezed states, thermal states, two-level systems, Jaynes-Cummings and dressed atoms as well as measurable consequences of the electromagnetic vacuum. If time permits, I will touch some aspects of correlations and photon statistics as well as topics on quantum information such as teleportation and quantum cryptography.

After completing the Module, the student is able to:

1. Explain and calculate the properties of field states.
2. Discuss various phenomena related to quantized light-atom interaction in two-level systems based on the Jaynes-Cummings-Model.
3. Explain various experimental settings that can be used to study important quantum phenomena, such as vacuum Rabi oscillations or non-destructive measurements of photons.
4. Understand various aspects of the quantum vacuum, such as spontaneous emission, the Purcell effect, the Casimir force, and the Lamb shift.
5. Understand coherence phenomena and correlation functions. 
6. Understand the role of entanglement and the generation of entangled photon pairs.

Registration

This interdisciplinary course draws on the intersection between the sociology of emotions and theories of social control. The course will introduce a combination of sociological, political, and psychosocial studies with the aim of understanding how emotions are defined, framed, and appropriated in various social relations and contexts. The course will examine how emotions can be used to consolidate power and social control at individual and collective levels.

Obwohl Linuxvarianten unterschiedlichster Art (in Supercomputern, Serverfarmen, Mobiltele­fonen oder einge­betteten Geräten) unseren Alltag in offener oder versteckter Form prägen, wenn nicht dominieren, scheuen viele immer noch vor dem Einsatz linuxbasierter Betriebssys­teme auf ihren heimischen Desktop-Rechnern zurück. Dabei könnten gerade auch die in den Literatur- und Geisteswissenschaften Tätigen von Linux als umfassender freier und sicherer Al­ternative zu den proprietären Betriebssystemen profitieren, bieten doch linuxbasierte Be­triebssysteme mit ihrer Vielfalt unterschiedlicher Arbeitsumgebungen einen fast schon idea­len Aus­gangspunkt, die Bearbeitung von Texten und Objekten dem eigenen Arbeitsfluss anzupassen.

In unserer Lehrveranstaltung werden wir zunächst gemeinsam eine der führenden Linuxdistributionen, nämlich das Anfang Oktober in der neuen Version 16 herausgekommene openSUSE Leap, zusammen mit der wohl anpassungsfähigsten Arbeitsumgebung über­haupt: KDE Plasma, in der Virtualisierungssoftware VirtualBox auf den Windows-Rechnern des IT-Zentrums installieren. In der Folge beschäftigen wir uns dann nach und nach ganz elementar mit all den Punkten, die das Zusammenspiel von eigenem Ar­beitsfluss und Software-Integration betreffen, angefan­gen bei der Softwareinstallation und -ver­waltung über die passgenaue Einrichtung der Tasta­turbelegung bis hin zum Einsatz des Termi­nals. Der zentrale Stellen­wert der von Linux beförderten Integration der installierten Programme soll schwerpunktmäßig in den Bereichen OCR, elek­tronische Litera­turverwaltung und Edito­rik zur Sprache kommen. Doch auch Fragen der Personalisierung sowie von Ästhetik und Design der Arbeitsumgebung werden nicht außen vor bleiben.

Einige Stichpunkte aus dem Programm:

• Arbeitsumgebung
• Softwareverwaltung
• Dateiverwaltung
• Fenstermanagement
• Arbeitsflächen
• Aktivitäten
• Programmintegration
• Arbeitsfluss
• Personalisierung

This seminar introduces students to theoretical foundations and emerging debates around applying machine learning (ML) to archaeological and cultural heritage research. Through lectures and critical discussions of scholarly papers, students will gain familiarity with the terminology, concepts, and methods shaping the field. The course explores a wide spectrum of ML approaches, beginning with classical algorithms such as Decision Trees and Random Forests, advancing to neural networks like ANNs and CNNs, and engaging with cutting-edge developments in Generative AI, Transformers, and Large Language Models. Alongside technical exploration, students will address the ethical dimensions of ML in heritage contexts, including issues of bias, interpretability, and the “black-box” character of deep learning models. By situating ML techniques within cultural heritage studies, the seminar equips students to critically assess research, select appropriate algorithms, and develop a reflective understanding of the opportunities and limitations of computational methods.

Instructor: Cuichi Miess

E-Mail: Cuichi.Miess@gsi.lmu.de
Office Hours:  By Appointment
Schedule: Monday, 12-14 ct
Venue: Oettingenstr. 67, Room: 027

This course aims to provide an introduction to the root causes and (long-term) consequences of conflict in African countries. Particular emphasis will be put on civil wars and their multiple trajectories. The course literature is mainly quantitative and aims to provide generalized findings of the research on armed conflict. Students are then asked to test and apply those findings on conflicts in African countries. The discussed topics include for instance the role of institutions, resource dependencies, the history and presence of outside interferences, post-conflict development, and the conflict trap.

The seminar builds upon vivid participation and students are asked to give a presentation. The course is intended to sharpen the students' ability to understand and conduct proper research, and aims to offer preliminary ideas for the students' BA theses.

Course Content: Research projects related to current questions in plant science are assigned to each participant. The aim is that the students research the topics independently by finding appropriate literature and resource. Then the students’ task is to apply learned techniques to this topic and to propose how to address these scientific questions. Students consult regularly with the instructor. The seminar entails 2 SWS, and requires an approx. 15 minute oral presentation of the proposed research plan to the entire group. In addition, a written proposal has to be submitted.

This course aims at exploring the intersection of art and politics in cinema in Communism in East and Central Europe. The first half of the course analyses the mechanisms of propaganda and censorship through case studies from the early Soviet Union through to the fall of the Iron Curtain in Eastern and Central Europe, exploring both the extent and the limitations of the use of cinematography to create a Communist body politic. The second half of the course examines a selection of movies from Czechoslovakia, Hungary, Poland and Yugoslavia as cinematographic depictions of the experience of living in Communist societies, and their reception domestically and abroad.

Knowledge of East European languages is not required for the course.

Recommended reading:

Anikó, Imre: East European Cinemas. New York 2005.

Iordanova, Dina: Cinema of the Other Europe: The Industry and Artistry of East Central European Film. London 2003.

Lars Karl and Pavel Skopal (Hrsg.): Cinema in Service of the State: Perspectives on Film Culture in the GDR and Czechoslovakia, 1945-1960. New York 2015.

Applied philosophy of language is a relatively new research area. Roughly speaking, applied philosophy of language applies methods and insights from (pure) philosophy of language on real-life problems. The aim of this seminar is to introduce the students to this research area by reading selected papers generally referred to as applied philosophy of language. The topics covered are, among others: the semantics and pragmatics of slurs and insults, hate speech and freedom of expression, feminism and speech act theory, lying vs. misleading, and the language of political speech. In so doing, we will read, among others, papers by Timothy Williamson (Reference, Inference and the Semantics of Pejoratives), Luvell Anderson and Ernie Lepore (Slurring Words), Caroline West (Freedom of Expression and Derogatory Words), Mary Kate McGowan, Rae Langton (Speech Acts and Unspeakable Acts), Jennifer Saul (Lying, Misleading and What is Said), and Jason Stanley (How Propaganda Works). The students will read the papers in advance of each seminar session. The seminar sessions themselves will be used to help the students in understanding the papers and for their critical discussion. There will also be the possibility to give small presentations on a paper of one's choice.

Enrollment key: “EUEXCM26”

Please note: You can access the course for the selection process already. The selection process itself consisting of two essay questions, will appear on Wednesday, March 11, at 12:00 p.m. (noon) and will remain open until March 25 at 11:59 p.m.

The course prepares the students to conceptualise and carry out independent research projects. Grading will be based on a research proposal (approximately 8 pages) to be presented at the end of the course. Research is to be carried out during the semester break and the results are evaluated and presented during the summer semester course. 

Organization

Content

• use the given literature and may search for additional literature to become acquainted with your topic,
• prepare and give a presentation about your topic and afterwards discuss the topic with the other participants,
•  write a scientific report, which provides a summary of your topic.

In almost all areas of business, industry, science, and everybody's life, the amount of available data that contains value and knowledge is immense and fast growing. However, turning data into information, information into knowledge, and knowledge into value is challenging.To extract the knowledge, the data needs to be stored, managed, and analyzed. Thereby, we not only have to cope with increasing amount of data, but also with increasing velocity, i.e., data streamed in high rates, with heterogeneous data sources and also more and more have to take data quality and reliability of data and information into account. These properties referring to the four V's (Volume, Velocity, Variety, and Veracity) are the key properties of "Big Data". Big Data grows faster than our ability to process the data, so we need new architectures, algorithms and approaches for managing, processing, and analyzing Big Data that goes beyond traditional concepts for knowledge discovery and data mining. This course introduces Big Data, challenges associated with Big Data, and basic concepts for Big Data Management and Big Data Analytics which are important components in the new and popular field Data Science.

In almost all areas of business, industry, science, and everybody's life, the amount of available data that contains value and knowledge is immense and fast growing. However, turning data into information, information into knowledge, and knowledge into value is challenging.To extract the knowledge, the data needs to be stored, managed, and analyzed. Thereby, we not only have to cope with increasing amount of data, but also with increasing velocity, i.e., data streamed in high rates, with heterogeneous data sources and also more and more have to take data quality and reliability of data and information into account. These properties referring to the four V's (Volume, Velocity, Variety, and Veracity) are the key properties of "Big Data". Big Data grows faster than our ability to process the data, so we need new architectures, algorithms and approaches for managing, processing, and analyzing Big Data that goes beyond traditional concepts for knowledge discovery and data mining. This course introduces Big Data, challenges associated with Big Data, and basic concepts for Big Data Management and Big Data Analytics which are important components in the new and popular field Data Science.

In almost all areas of business, industry, science, and everybody's life, the amount of available data that contains value and knowledge is immense and fast growing. However, turning data into information, information into knowledge, and knowledge into value is challenging.To extract the knowledge, the data needs to be stored, managed, and analyzed. Thereby, we not only have to cope with increasing amount of data, but also with increasing velocity, i.e., data streamed in high rates, with heterogeneous data sources and also more and more have to take data quality and reliability of data and information into account. These properties referring to the four V's (Volume, Velocity, Variety, and Veracity) are the key properties of "Big Data". Big Data grows faster than our ability to process the data, so we need new architectures, algorithms and approaches for managing, processing, and analyzing Big Data that goes beyond traditional concepts for knowledge discovery and data mining. This course introduces Big Data, challenges associated with Big Data, and basic concepts for Big Data Management and Big Data Analytics which are important components in the new and popular field Data Science.

General information

This practical course builds on the lecture “Biological engineering” and is most suited for Msc students of the 1^st semester. Bsc students of the 5^th semester are invited to attend the practical course.

Content

Biology is now a science of engineering. Only until recently, biology became mechanistic and quantifiable, identifying the molecular components and how they mechanistically work together to function in a certain process. This is because two revolutions in biology happened: 1) The molecular revolution, knowing with the genes and proteins as its basis; and 2) the genomic revolution, which allows to learn about the molecular components in a fast way and at a large scale. Biological engineering applies the engineering principles of “analysis, design and synthesis” to solve problems in human, animal and plant life.

The aim of this course is to make students think like an engineer. Students will be familiarized with the paradigm of engineering “measure, model, manipulate, and make” across different areas of biology. We will explore different applications of biological engineering, i.e. improving plant nutrition and photosynthesis, and exploring plants for molecule and vaccine production. While we focus on plant sciences, we will also discuss examples from other areas of the life sciences.

The course will be delivered as a 2-weeks course. The evaluation of the practical course in the form of reports and oral presentations.

Practical course

The practical course will be theoretical works, engineering a novel trait. The first week of the practical course, we will review a selected example of engineering a novel trait in plants and students will be tasked to select engineering a trait, explaining why they have chosen this trait and what is the ultimate goal. In the following, students will develop an outline how to create this trait. In the second week, students will develop a detailed strategy how to create this trait, including the sources of materials, suitable methods, addressing potential challenges and troubleshooting, alternatives, as well as considering regulatory requirements for successfully implementing the novel trait. Each step will be discussed in oral presentations and thereby reviewed. At the end of the course, students will submit a comprehensive report, describing the engineering of a novel trait, each step, material and method properly documented.

Engineering traits include:

1. Improving plant nutritional value

2. Improving plant yield, resistance to drought, pathogens

3. Using plants to produce molecules

4. Using plants to help protecting planetary health

Skills

At the end of the courses, students will be able to:

• Explain concepts and prime examples of biological engineering, both in principle and theory.
• Demonstrate a detailed understanding of the technologies used in biological engineering.
• Develop a detailed protocol to engineer a desired trait
• Discuss current knowledge and apply critical thinking to the applications of biological engineering.

Der Koreakrieg oder die Kubakrise sind als Höhepunkte der Konfrontation im Kalten Krieg allgemein bekannt. Doch der „Kalte Krieg“ spielte sich auch und vor allem abseits der militärischen Auseinandersetzungen ab - in Fußballstadien, in wissenschaftlichen Laboren, in den Medien und sogar im Weltraum. Die Supermächte versuchten jeweils, durch ihre wissenschaftlichen und sportlichen Erfolge, durch die Popularisierung der eigenen Kultur und die Zurschaustellung der eigenen Modernität die Überlegenheit gegenüber dem Gegner zu manifestieren um in der Systemkonkurrenz zu bestehen.

Im Basiskurs besprechen wir wichtige Entwicklungen des Kalten Krieges, wobei der Schwerpunkt auf nicht-militärische Felder wie Sport, Wissenschaft, Raumfahrt, Kultur und Wirtschaft gelegt wird. Dabei werden wir uns nicht nur mit der Propaganda, die die jeweiligen Erfolge begleitete, beschäftigen, sondern auch den Auswirkungen des Kalten Krieges auf Wissenschaft, Sport oder Kultur nachgehen. Schließlich soll die Frage diskutiert werden, wie der Kalte Krieg durch die Konkurrenz in den jeweiligen Feldern geprägt und sein Verlauf beeinflusst wurde.

Block Course - March16th - 26th 2026

Entropy  is defined as a measurable physical property that is most commonly associated with a state of disorder, randomness, or uncertainty. It is strongly connected with  probability distributions  and the principle of  maximum entropy  can be very useful in statistical inference, in particular in Bayes statistics. In this course, we will introduce the concept of entropy in the context of information theory as well as apply the concepts to real data sets.

Syllabus

1. Introduction and Preview
2. Entropy, Relative Entropy, and Mutual Information
3. Asymptotic Equipartition Property
4. Entropy Rates of a Stochastic Process
5. Differential Entropy
6. Information theory and statistics

Schedule:   The course will be held online in English.

Information Theory and Entropy for Master Statistics and Data Science, Master Data Science, Master Statistics, Master Biostatistics, Master Statistics WiSo.

Enrollment key: entropy_2026

This course conceives heritage as a cultural practice that is integral to shaping, overseeing, and reconciling the diverse values and meanings assigned to heritage on both local and global scales. Probing knowledge from the field of Critical Heritage Studies, students will investigate the impact of contemporary heritage theories and concepts on the crucial discussions surrounding the characterization of global, national, and local heritage, along with considerations of universal, community, and individual rights. For instance, we will ask: What constitutes heritage? Who holds the authority to define it? Who ought to oversee its management and preservation? In what ways does the concept of heritage serve to unite or potentially create divisions within communities? What repercussions arise from the diverse approaches that different groups take in appropriating and utilizing heritage? Is there a universally recognized human right to unrestricted access, expression, and preservation of heritage? And if such a right exists, how is it manifested? We will also question how globalization, migrations, and climate change affect heritage issues and how the concept of heritage is changing in the Digital Age. These topics will be examined through a cross-geographical and cross-historical examination of case studies, contributing to elucidating them at local and global levels.

In diesem Jahr endet die seit 2021 tagende Weltsynode mit dem Thema „Für eine synodale Kirche“. Dabei handelte es sich zum ersten Mal in der Kirchengeschichte um eine Synode, an der jede und jeder zur Teilnahme aufgerufen war. Synoden und Konzilien sind allerdings schon seit der Spätantike zentrale Foren zur Diskussion über theologische und strukturelle Elemente der christlichen Kirche Europas. Als bekanntestes Konzil des Mittelalters darf wohl das Konzil von Konstanz (1414-1418) gelten, dass auch in den populären Medien immer wieder präsent ist.

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In recent years, deep learning network have steadily increased in popularity, mainly due to their state-of-the-art performance in image and speech recognition, text mining and related tasks. Deep neural networks attempt to automatically learn multi-level representations and features of data and are able to uncover complex underlying data structures.

The lecture aims at providing a basic theoretical and practical understanding of modern neural network approaches. We will start out by covering the necessary background on traditional artificial neural networks, backpropagation, online learning and regularization. Then we will cover special methods used in deep learning, like drop-out and rectified linear units. We will also talk about further advanced topics like convolutional layers, recurrent neural networks and auto-encoders.

We will also talk about practical application and open-source deep learning libraries.

Electron microscopy can provide a comprehensive characterization of solid samples, including morphology, structure, composition and even electronic properties, with a resolution down to the atomic level. This overview lecture covers the major techniques of electron microscopy as well as associated spectroscopy methods. In addition, ion microscopy for imaging and material manipulation is introduced. Based on electron-sample interactions, basic optics and instrumental aspects, various imaging and spectroscopy methods are discussed with respect to properties such as resolution, sensitivity and limits.The lecture can be either given in English or German, depending on the choice of the students.

Seminar Overview

This seminar is targeted at both Master of Science and Master of Business Research students with a broad interest in organization topics, especially with an empirical approach. The seminar will provide insights on scientific methods and the research process, focusing on applications in organization design and strategic organization research. After lecture sessions, students will work on a short proposal for a research project.

Seminar Goals

The seminar has three goals in the broad field of empirical organizations. First, students will learn to critically read academic papers, enabling them to assess causal empirical arguments. Second, they will learn how to develop research questions and how to make a contribution. Finally, they will get familiar with relevant research methods and will be able to develop a sound empirical research design to rigorously answer their research questions. We expect the seminar to be useful as a preparation for a master thesis or a PhD paper in the broad field of organization and its intersections with innovation or strategy research.

• Wirtschaftswissenschaftlicher Kurs
• Veranstaltungszeit (und -ort): Fr., 12-14 Uhr (Ludwig 29, 409)
• El empresario: el espíritu emprendedor, clases de empresarios, responsabilidad y obligaciones. Los consumidores: prácticas comerciales desleales, cláusulas abusivas. La empresa: su papel en la economía, la planificación, idea de negocio, plan de empresa. Obligaciones fiscales y administrativas de la empresa. Tipos de empresa: según el sector, la titularidad del capital, la dimensión, el ámbito territorial, la función, la forma jurídica (sociedades mercantiles y no mercantiles). Los contratos mercantiles. El mercado y el marketing. Recursos humanos y finanzas. El trabajador por cuenta propia y por cuenta ajena. El contrato de trabajo. Convenios Colectivos, sindicatos. Extinción del contrato de trabajo, el despido. El salario, la nómina, la jornada laboral. Tesorería General de la Seguridad Social española. Fondo de Garantía Salarial. El puesto de trabajo: oferta de empleo, solicitud de empleo, el currículum, la entrevista de trabajo, necesidades del personal en la empresa. Bloque práctico: Actividades prácticas, actualidad, trabajo y debate de reportajes sobre los temas.
• Den Einschreibeschlüssel erhalten Sie von der Veranstaltungsleiterin.
• Marta Garzón Gimeno, LL.M. (Münster) auf der Fakultätshomepage

An increasingly diverse student body and greater awareness for matters of gender and diversity present new tasks and challenges for the teaching staff at universities. The goal of the seminar is to help participants assemble their individual toolboxes for student-centered, gender-sensitive, and truly diverse teaching, testing and mentoring.

What does it mean to teach my content in a way that is suited for different backgrounds, learning-types, talents of students and their future fields of work and activities? How do I test students in ways that not only appropriately challenge them according to their abilities, but also give them opportunities to show their full potential? What changes will I need to make to provide diversity and gender-sensitive advice and mentoring to my students?

To answer these questions, the seminar takes four steps:
(1) Activities and discussions will help you reflect on your biases and prejudices and systematically review and further develop your role as lecturers.
(2) Inputs and exercises will introduce you to challenges of discrimination, such as microaggressions and how to address them and respond accordingly
(3) You can acquire skills in gender and diversity-sensitive communication which are key to providing a motivating and inspiring learning environment.
(4) We will use our collective knowledge, share our experiences, and create new ideas for actionable methods and tools that make your teaching, testing and mentoring more inclusive.

Contents:

• Reflecting on implicit biases, how they affect us and others and the way we teach
• Understanding structural and less visible forms of discrimination and how to counter them
• Acquiring gender- and diversity-sensitive communication skills

The seminar can be credited for the Zertifikat Hochschullehre Bayern and the Genderzertifikat Lehre.

El curso Español II &  Expresión Oral y Escrita I  (Veranstaltungsnr. 13321) está dirigido a los estudiantes de español que aprobaron con éxito el nivel A2 (Español I) y que tienen el propósito de obtener el nivel B1 del MCER.

El objetivo central de este curso es proporcionar y entrenar al estudiante en las destrezas del habla escrita y oral del idioma ESPAÑOL / CASTELLANO a través de la enseñanza de la gramática del nivel correspondiente, complementada con temas de actualidad. De esa manera, los estudiantes al finalizar este curso deberán estar en capacidad de dominar diferentes discursos y escenarios comunicativos (dialogar, describir, narrar, opinar, comentar, resumir, acotar, discutir, sugerir, etc.) con fluidez y seguridad, tanto a nivel escrito como oral, de modo formal e informal, de manera espontánea o planificada.

El contenido del curso Español II sigue algunos temas sugeridos en el libro Universo.ele B1; y el curso de Expresión Oral y Escrita I se complementará además con temas y materiales adicionales, depositados en otros soportes mediáticos (videos, audios, etc.) que estarán a disposición a través de enlaces a internet que serán proporcionados en clase.  

La evaluación del curso Español II/ Expresión Oral y Escrita I  (Veranstaltungsnr. 13321) es a través de un único examen escrito (probablemente en este semestre: de modo presencial, 90 minutos) que se llevará a cabo en la primera semana después de finalizado el dictado de clases del semestre WS 21/22, es decir, entre el 14 y el 19 de febrero de 2022 (¡Atención a las fechas de "Voranmeldung"!).

This course offers a critical introduction to hate speech and extreme speech, with a specific focus on the role of contemporary forms of digital communication. Hate speech and extreme speech have become a key concern for policy makers and state regulators, but it is important to examine its full scope as a global phenomenon with vast differences in context and political implications.  The key objective of this course is to take a global perspective on hate speech. The course tracks the definitions of hate speech, theoretical traditions that underpin them, and the limits of hate speech as a legal-regulatory discourse. Scanning various cognate frameworks such as dangerous speech, fear speech, hateful speech, and violent extremism that are used in understanding contemporary forms of aggressive and vitriolic speech, this course will introduce the ethnographically driven concept of “extreme speech”. We will study fake news, propaganda, Internet humor genres, rumor, racist speech, anti-minority speech, gender based violence, trolling, memes making, digital vigilantism, and xenophobic speech as different instances of extreme speech. At the same time, we will examine how extreme speech as subversive incivility has been instrumental in “talking against the authorities” in some cases. Finally, we will study different civil society, governmental and industry responses to hate speech. 

The course will draw upon the disciplinary traditions of media anthropology and communication studies. 

At the end of the course, students will

demonstrate knowledge of prominent debates concerning hate speech;

develop models to assess the role of digital communications in shaping hate speech and extreme speech;

recognize the vast variation in the production and implications of hate speech by using different global case studies;

develop skills to think about regulatory, civil society and political interventions in addressing hate speech.

Prerequisite

Readiness to engage with and analyze complex texts is expected. 

Wissentlich verbreitete Falschmel­dungen dienen der politischen Propaganda, sind gezielte Strategie der Desinformation und beeinflussen politische Entscheidungen. Nicht nur die Gegenwart, auch das Mittelalter bietet zahllose Beispiele für den manipulativen Umgang des Menschen mit dem Wahrheitsbegriff. Wie lässt sich mit Hilfe der grundwissenschaftlichen Disziplinen der Diplomatik, Paläografie, Sphragistik und Chronologie die Authentizität historischer Quellen überprüfen? Was war die Motivation der mittelalterlichen Fälscher? Und was passierte mit Fälschern, sofern deren Tun überhaupt zeitnah entdeckt wurde? Die Übung bietet unter anderem die Möglichkeit, anhand der Erkenntnisse der großen Regesten-Werke (Regesta Imperii) und kritischen Urkunden-Editionen (MGH) Fälschungsmerkmale an vorgeblichen Kaiser- und Königsurkunden nachzuvollziehen. Gelesen werden vor allem Urkunden, aber auch Gerichtsprotokolle.

Bitte schreiben Sie sich alle in diesen Kurs ein. Die Einschreibung ist ab sofort möglich. Hier finden Sie die Sachverhalte und Lösungen für die Propädeutischen Übungen.

Bitte schreiben Sie sich alle in diesen Kurs ein. Hier finden Sie die Sachverhalte und Lösungen für die Propädeutischen Übungen. Die Einschreibung in diesen Kurs ist ab sofort möglich.

Bitte schreiben Sie sich alle in diesen Kurs ein. Die Einschreibung ist ab sofort möglich.

Bitte schreiben Sie sich alle in diesen Kurs ein. Die Einschreibung ist ab sofort möglich.

This is the theoretical part of a two-part course (Seminar + Übung). Scholars often regard the golden age of classical Persian poetry as the tenth to fifteenth century—a period deeply shaped by Sufi thought. Among its most prominent authors stands the towering figure of Farīd al-Dīn ʿAttār Nishāpūrī (d. ca. 1221), whose poetic and prose works became models for generations of Sufis and poets. This seminar introduces students to the esoteric dimension of Islam, namely Islamic mysticism (Sufism) through the lens of ʿAttār’s writings. We will explore the teachings, concepts, practices and institutions of Sufism, while delving into its metaphysical cosmology, spiritual psychology, and its literary aestheticism. Rather than relying solely on secondary literature, the seminar emphasises direct engagement with primary texts. We will read and discuss ʿAttār’s allegorical masterpiece The Conference of the Birds (Manṭiq al-ṭayr) in full, and selected stories from his influential prose hagiography Memorial of the Saints (Taẕkirat al-Awliyāʾ).By the end of the course, students will gain a deep understanding of Sufi philosophy and its enduring impact on Persian literary culture and Iranians’ conceptions of self and worldview even to this day.

No prior knowledge of Persian is required. The students are expected to read the assigned texts and follow the discussions in English; however, they are welcome to discuss, write their Klausur, and correspond with me in German.

Workload for seminar and seminar exercises:

For research seminar and accompanying exercises: 3 hours/week attendance, 15 hours/week preparation and follow-up work, 180 hours of homework (15 ECTS credits), 

For study seminar and accompanying exercise: 3 hours/week attendance, 15 hours/week preparation and follow-up work (9 ECTS credits)

Evaluation

When enrolled as a research seminar and accompanying exercise (Forschungsseminar und Begleitübung): research proposal (3–5 pages), presentation (20–25 min.), and term paper (20–25 pages). 

When enrolled as a study seminar and accompanying exercise (Studienseminar und Begleitübung): presentation (20–25 min.) and written examination (90–120 Minuten) or response papers (2–3 kurze Texte à 2–3 Seiten).

General Information:

Lecture recommended for master students in their first semester.

Please enroll with the enrollment key: GGR.

Module with Seminar "genetics and society"/ "food and genes" and practical course "proposal writing"

Content

- Genomes (ploidy, content, organization, structure)
- Accessory genomes, extrachromosomal elements, sex chromosomes
- Cell cycle regulation
- Mitosis and meiosis
- Transcription and transcriptional regulation (promotors, regulatory elements, transcription factors and regulatory RNAs, processing of RNAs)
- Epigenetics
- small RNAs 

Skills

- Knowledge of the basic genetic and molecular principles of the content above
- Understanding of the regulatory mechanisms underlaying these principles
- Transfer knowledge to related biological systems

Die Übung dient (als eine von mehreren Veranstaltungen der Abteilung Mittelalterliche Geschichte) der Vorbereitung einer Apulien-Exkursion im September 2022. Im Rahmen der Übung setzen wir uns mit der Geschichte Apuliens anhand von Heiligen und ihrer Verehrung in "normannischer" Zeit auseinander, also grob dem 11. und 12. Jahrhundert. Hierunter fallen etwa die Etablierung des Nikolaus-Kults in Bari (im Jahr 1087 brachten Bareser Seeleute die Gebeine des Heiligen von der Insel Myra in ihre Heimatstadt), die in Konkurrenz dazu propagierten Kulte um Heilige an der Kathedrale von Bari oder im benachbarten Trani, das sehr viel ältere Heiligtum für den Erzengel Michael auf dem Gargano, aber auch "neue" Heilige im Zuge der Kirchenreform, vor allem die Kongregation um den Heiligen Johannes von Matera. Die Verehrung dieser Heiligen hat zahlreiche materielle Zeugnisse hinterlassen, vor allem natürlich in Form von Kirchen, aber auch liturgischen Kunstschätzen, die wir im Rahmen der Exkursion vor Ort besichtigen werden. 

Aufgrund der Quellenlage und des Forschungsstandes ist die Bereitschaft zur Arbeit mit lateinischen Quellen eine unbedingte Voraussetzung für den Besuch der Übung; Italienisch-Kenntnisse sind erwünscht, aber nicht zwingend erforderlich.

This practical “Human Computation and Analytics” aims at applying the techniques learned from the lectures and exercises of the course “Human Computation and Analytics”. During the practicum, students will solve problems currently faced in the industry and/or research programming projects.

The programming projects will be devoted to “Human Computation” and “Visual Analytics”. They will be proposed by the instructors.

Lecture Day and Time: Thursday 12-2 p.m. ct
Place: Amalienstr. 73A
Room: 218

 This lecture class traces the history of modern international law as it is reflected through the changes it underwent due to the twists and turns of the Israeli-Arab conflict, and the contribution of Jewish international jurists who opted to mold this system in the vision most appropriate to their Universalist ethos.

Prüfungsform im BA und mod. LA (Studienbeginn bis SOSE 2020): KL

Achtung NEU!

keine Prüfung im BA und LA (Studienbeginn ab WISE 2020/21

Gelesen werden - gemäß Programm (s. hier in Moodle) ausgewählte Elegien von Tibull, Properz und Ovid sowie Gedichte aus dem Bereich der Lyrik von Catull und Horaz.

Schwerpunkte und Ziele: Im Zentrum stehen das genaue Lesen – d.h. die Übersetzung in ein korrektes Deutsch – und die Analyse von Sprache und Inhalt am Beispiel einzelner Gedichte der genannten Autoren. Neben den auf die Form und Inhalt gerichteten Fragen (Gedichtaufbau, Metrik, Thematik) sowie der Frage nach dem Entstehungskontext sollen anhand der Lektüre die wichtigsten Merkmale der römischen subjektiven Liebeselegie bzw. der römischen Lyrik besprochen werden.

Zum Leistungsausweis gehören die gründliche Vorbereitung (mit Benutzung der im Semesterapparat aufgestellten Kommentare) und die regelmäßige Teilnahme sowie das Bestehen der Abschlussklausur. Es gilt Anwesenheitspflicht in der ersten Sitzung des Semesters, in der eine Einführung zur Methode im Lektürekurs sowie zu Autoren, Metrik und literarischer Gattung gegeben wird.

Einen Reader mit ausgewählten Gedichten der genannten Autoren (aus den kritischen Ausgaben) finden Sie hier in Moodle. Bitte nur diese Texte bzw. Ausgabe benutzen!

Literatur zur Vorbereitung:
Boldrini, S. Prosodie und Metrik der Römer, übers. von B.W. Häuptli (Stuttgart/Leipzig 1999)
Holzberg, N. Die römische Liebeselegie. Eine Einführung (Stuttgart ⁵2001).
Mayer, R. Horace. Odes Book I (Cambridge 2012)
Schmidt, E.A. Catull (Heidelberg 1985.

For centuries before the Reconquista, and again today, Spain has had a particularly rich historical experience of religious pluralism and interaction among the three Abrahamic or monotheistic traditions: Judaism, Christianity, and Islam. This experience offers resources for reflecting on the challenges and promises of religious pluralism in contemporary European cultures. We will consider these themes against the picturesque background of the walled city of Toledo, which was one of the early sites of the Reconquista.

The seminar will be led by faculty from the LMU Munich, from the Escuela de Traductores of Toledo, and from the Consejo Superior de Investigaciones Cientificas (CSIC) in Madrid. We expect to be able to reimburse all expenses of travel and accommodation. Students will be required to prepare an oral report to be delivered during the seminar, followed by a written version submitted later in the semester, if necessary for course credit.

If you are interested in participating, please send the following information to robertyelle@hotmail.com as soon as possible, but not later than February 7: name, course of study, registration status, and potential theme for an oral report. The report can be about any one or more of the three religious communities, their history in the area, interactions, and philosophical and religious ideas, especially regarding toleration. The course will be taught in English and the report may be given in German or English.

The site for such a discussion is especially appropriate: Toledo, a walled, medieval city in the heart of Spain, approximately one hour from Madrid. The capture of Toledo by Alfonso VI in 1085 marked a key point in the early Reconquista, which ended with the conquest of the last Muslim stronghold, Granada, in 1492. Toledo, a UNESCO World Heritage site, retains many architectural traces of its earlier Muslim and Jewish inhabitants, including some well-preserved medieval synagogues, as well as many splendid buildings constructed by Christians, including the Cathedral, which was built between the 13th and 16th centuries. The entire old city of Toledo is a sort of open-air museum that is compact enough to be explored on foot. The academic program will include visits to a number of the major sites in Toledo, and will allow the opportunity to explore the city on your own. A visit to Madrid may be added to the beginning or end of the excursion course at your own initiative and expense.

The master thesis concludes the scientific education of the master study programme in actuarial sciences. During a time span of about 13 weeks the students will work inde-pendently, but under scientific tutoring upon a subject that is based on bases and actual re-sults of their special field of work. In line with the main area of research of the teacher the thesis may for example cover one of the fol-lowing subjects: - Life insurance - Pensions insurance - Property/casualty insurance - Financial mathematics - Probability theory - Risk management - Reinsurance - Health insurance

Zum Materialkurs für die Propädeutischen Übungen und Tutorien gelangen Sie hier. Die Einschreibung ist ab sofort möglich.

In diesem Moodle-Kurs finden Sie alle Materialien für die Propädeutischen Übungen und Tutorien. Bitte schreiben Sie sich alle in diesen Kurs ein. Die Einschreibung ist ab sofort möglich.

Die Einschreibung ist ab sofort möglich

In diesem Moodle-Kurs finden Sie alle Materialien für die Propädeutischen Übungen zu den Grundkursen im Öffentlichen Recht I. Bitte schreiben Sie sich alle in diesen Kurs ein. Die Einschreibung ist ab sofort möglich.

Einschreibeschlüssel: Berufsfreiheit

Schreiben Sie sich alle in diesen Kurs ein.
Zum Einschreibeschlüssel (Eingabe der LMU-Kennung erforderlich)
Die Einschreibung ist ab sofort möglich.

Hier finden Sie Materialien für die PÜ und die Tutorien
Zum Einschreibeschlüssel (Eingabe der LMU-Kennung erforderlich)
Grundkurs-Koordinator: Maximilian Rudolph

In diesem Moodle-Kurs finden Sie alle Materialien für die Propädeutischen Übungen zum Grundkurs Zivilrecht I (H–N) | PD Dr. Max Foerster. Bitte schreiben Sie sich alle in diesen Kurs ein. Die Einschreibung ist ab sofort möglich

Schreiben Sie sich alle in diesen Kurs ein.
Zum Einschreibeschlüssel (Eingabe der LMU-Kennung erforderlich)

Schreiben Sie sich alle in diesen Kurs ein, falls Sie nicht bereits seit dem Wintersemester 24/25 eingeschrieben sind.
Einschreibeschlüssel: schuldnerverzug2025

Topics:

1. Overview
2. ARMA processes
3. Estimation
4. Prediction
5. Structural analysis
6. Modeling nonstationary time series
7. Modeling time-varying parameters
8. GARCH

Target audience: Advanced students and PhD students in econometrics, statistics, VWL, BWL,  mathematics or computer science.

Prerequisites: Profound knowledge in matrix-algebra and econometrics (econometrics I) or statistics (linear models). Basic knowledge in univariate time series analysis is not demanded but of advantage.

Record of achievement: This course consists of two parts. The first part of „Multivariate Time Series Analysis“ is equivalent to the lecture „Multivariate Zeitreihen/Multivariate Time Series“ (3 ECTS-Credits) for statisticians; the second part can be recognised as „Ausgewählte Gebiete der theoretischen Statistik B/Selected Topics in theoretic Statistics B“ (3 ECTS-Credits). For each part there will be a separate exam that takes one hour. That is, you only have to attend the first part (see below) of the course if you want to obtain credit points for the course “Multivariate Zeitreihen”. Apart from that, the whole course is equivalent to "Time-Series Econometrics" and counts as a class for Ph.D. candidates in economics. Both exams constitute the exam you have to pass in order to obtain the "Schein" for "Time-Series Econometrics".

Altogether, there are 5 problem sets in the tutorial. Problem sheets 1, 2 (theoretical properties of VAR(p) processes), and 4 (estimation of VAR(p) processes) belong to the first part „Multivariate Zeitreihen“. Problem sheets 3 (granger-causality, impulse-response-analysis, innovations accounting) and 5 (integrated and cointegrated processes) are relevant for the second part.

Die Nacht war ein ambivalentes Phänomen. Einerseits: Dunkelheit und Stille konnten sie zum Ort des Unheimlichen machen, religiöses Denken machte sie zum Ort der Transzedenz, Policeyordnungen reglementierten gesellschaftliches nächtliches Leben, um Ordnung und Sicherheit in dieser obskuren Tageszeit zu ermöglichen, Nachtwächter patroullierten durch die Gassen. Andererseits und vermehrt ab dem 17. Jahrhundert wurde die Nacht besonders durch die Höfische Gesellschaft neu funktionalisiet: Feste wurden gefeiert, Wachsamkeit propagiert, Beleuchtung ermöglichte Zusammenkünfte. Kurzum die Gesellschaft unterlag - laut Craig Koslofsky - einer "nocturnalization". Wie die Menschen des 18. Jahrhunderts, besonders die Höfische Gesellschaft, die Nacht nutzten, welche technischen Entwicklungen und politisch-gesellschaftliche Veränderungen damit einhergingen, wie sich die nocturnalization auf Raum und Zeit, Politik und Gesellschaft auswirkten untersucht das Seminar. Spezifisches Vorhaben des Seminars ist es, diese Entwicklungen in einen forschungspraktischen, methodischen Rahmen einzubinden (Schloss und spatial turn; Höfische Gesellschaft und Praktiken; Vergesellschaftungsthese usw.).

Content:

- Sustainable development goals of the united nations and their relevance for agriculture
- Root nodule symbiosis (cell biology, genetics and signaling)
- Transcriptional regulation of root nodule symbiosis
- genetic diversity in root nodule symbiosis
- plant root endosymbiosis

Skills:

- advanced understanding of literature search
- advanced understanding of scientific writing skills 
- knowledge of DFG-style proposals
- knowledge of correct citation principles
- applied knowledge of methods in plant root nodule symbiosis and experimental planning
- detailed project calculation 
- understanding of the peer-review process

Master Practical: Automated Theorem Provers (SoSe 2026)

See the course website for more details.

Overview

Automated theorem proving is a subfield of mathematical logic that concerns itself with proving mathematical theorems fully automatically using computer programs, called automated theorem provers. They can be used as stand-alone programs to solve logic problems or in tandem with interactive theorem provers (also called proof assistants) to discharge proof obligations that arise in interactive proofs.

In this course, we will focus on practical aspects of automated theorem provers and their implementation.

Organization

The course is divided into two parts. In the first part of the course, participants will receive a brief introduction to automated theorem proving, focused on practical aspects.

This will be followed by a project phase, with students working in teams of 2-4 people.

Each team is tasked with delivering a short presentation on relevant background material (such as research articles), proposing, implementing and documenting a project, as well as giving a final project presentation.

Participation is limited to 20 master students.

Prerequisites

Familiarity with basic aspects of mathematical logic, such as those taught in the bachelor's lecture "Logik und diskrete Strukturen", is required.

The practical complements the lecture Automated Theorem Proving that was offered in the winter term 2025/26. If you are interested in the practical, we highly recommend reviewing the course materials from the lecture.

Overview

Automated theorem proving is a subfield of mathematical logic that concerns itself with proving mathematical theorems fully automatically using computer programs. These programs are called automated theorem provers. They can be used as stand-alone programs to solve logic problems or in tandem with interactive theorem provers (also called proof assistants) to discharge proof obligations that arise in interactive proofs.

In this course, we will focus on practical aspects of automated theorem provers and their implementation.

Organization

The course is divided into two parts. In the first part of the course, participants will receive a brief introduction to automated theorem proving, focused on practical aspects.

This will be followed by a project phase, with students working in teams of 2-4 people.

Each team is tasked with delivering a presentation on relevant background material (such as research articles), proposing, implementing and documenting a project, as well as giving a final project presentation.

Participation is limited to 30 master students.

Prerequisites

At a minimum, familiarity with basic aspects of mathematical logic, such as those taught in the bachelor's lecture "Logik und diskrete Strukturen", is required.

The practical complements the lecture Automated theorem proving that was offered in the winter term 2024/25. If you are interested in the practical, we highly recommend reviewing the course materials from the lecture.

Place and Time

The given end dates are tentative.

The exercise sessions start in the third week of the semester (one week after the first lecture). The exercise session on the 29.05.2025 (Christi Himmelfahrt) and 19.06.2025 (Fronleichnam) are canceled due to holidays.

Registration

To register for the course, please do so through the Central Allocation (Zentralanmeldung).

If you have questions, please reach out to Massin Guerdi or Lydia Kondylidou.

With this video course we want to support you in preparing for the review meeting of your research proposal. The course gives you step by step hands-on advice on all aspects of your presentation. As a result, your presentation including the slides will be ready. You will be equipped with rhetorical and technical skills and feel well prepared for the questions in the interview.

BITTE EINTRAGEN!!

• Veranstaltungszeit: Do., 18–20 Uhr c.t.
• Veranstaltungsort: GSP 1 - A 017

• Veranstaltungszeit: Mi., 16–18 Uhr c.t.
• Veranstaltungsort: PHP 2 - V002

• Veranstaltungszeit: Di., 12–14 Uhr c.t.
• Veranstaltungsort: Ludwig 29, 409
  
• Jakob Nährig auf der Fakultätshomepage

• Veranstaltungszeit: Do., 16–18 Uhr c.t.
• Veranstaltungsort: PHP 2 - V002
• Justus Kriegsch auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 18–20 Uhr c.t.
• Veranstaltungsort: GSP 1 - A 021

• Veranstaltungszeit: Mi., 16–18 Uhr c.t.
• Veranstaltungsort: GSP 1 - A 015
• Manuela Deingruber auf der Fakultätshomepage

• Veranstaltungszeit: Di., 12–14 Uhr c.t.
• Veranstaltungsort: GSP 1 - D Z001
• Sonja Heimrath auf der Fakultätshomepage

• Veranstaltungszeit: Do., 10–12 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 (M) - M 203
• Carina Stier auf der Fakultätshomepage
• Kim Chi Tran auf der Fakultätshomepage
  

• Veranstaltungszeit: Do., 14–16 Uhr
• Veranstaltungsort: Prof.-Huber-Pl. 2 (V) - LEHRTURM-VU107
• Caroline Schulte-Oestrich auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 8–10 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 (M) - M 203

• Veranstaltungszeit: Mo., 18–20 Uhr
• Veranstaltungsort: Ludwigstr. 28 RGB - 124
• Dominik Schwab auf der Fakultätshomepage

• Veranstaltungszeit: Di., 12–14 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 (M) - M 101
• Johanna von Criegern auf der Fakultätshomepage

• Veranstaltungszeit: Mi., 8–10 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 (M) - M 101 
• Lisa-Marie Schmidt auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 18–20 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 (M) - M 203
• Manuela Deingruber auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 14–16 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 (M) - M 209

• Veranstaltungszeit: Mo., 14–16 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 (M) - M 203
• Philipp Sandmann auf der Fakultätshomepage

• Veranstaltungszeit: Di., 10–12 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 (A) - A 015
• Sarah Reiser auf der Fakultätshomepage

• Veranstaltungszeit: Di., 12–14 Uhr
• Veranstaltungsort: Oettingenstr. 67 - 151
• Sebastian Berns auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 16–18 Uhr
• Veranstaltungsort: Ludwigstr. 28 RGB - 122
• Veronika Böhm auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 18–20 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 (M) - M 209
• Vincent Aßbichler auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 18–20 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 - M001
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• Alessandro Giannini auf der Fakultätshomepage

• Veranstaltungszeit (und -ort): Di., 8-10 c.t. (online)
• Alexa Zierer auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 18–20 Uhr
• Veranstaltungsort: Professor-Huber-Platz 02 - V005
• Zum einheitlichen Einschreibeschlüssel

• Veranstaltungszeit (und -ort): Do., 8–10 c.t. (online)
• Dr. Thomas Steenbreker auf der Fakultätshomepage

• Veranstaltungszeit: Mi., 16–18 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 - A021
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• Elisabeth Tscharke auf der Fakultätshomepage

• Veranstaltungszeit (und -ort): Do., 8–10 c.t. (GSP, A 022)
• Jana Wolf auf der Fakultätshomepage

• Veranstaltungszeit (und -ort): Di., 12–14 c.t. (PHP 2, W401)
• Justus Kriegsch auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 10–12 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 - M203
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• Laura Mayr auf der Fakultätshomepage

• Veranstaltungszeit (und -ort): Fr., 12–14 c.t. (GSP, B015)
• Müslüm Altay auf der Fakultätshomepage (Infos folgen)
  

• Veranstaltungszeit (und -ort): Fr., 8–10 c.t. (PHP 2, V002)
• Patrick Siegle auf der Fakultätshomepage

• Veranstaltungszeit (und -ort): Mi., 18–20 c.t. (GSP, M203)
• Ramona Weisenbach auf der Fakultätshomepage

• Veranstaltungszeit: Mi., 12–14 Uhr
• Veranstaltungsort: Geschw.-Scholl-Pl. 1 - M203
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• Tobias Targosz auf der Fakultätshomepage

• Veranstaltungszeit: Mi., 18 – 20 Uhr s.t.
• Veranstaltungsort: GSP 1, A 015
• Tobias Targosz auf der Fakultätshomepage

• Veranstaltungszeit: Di., 18–20 Uhr c.t.
• Veranstaltungsort: GSP 1, A 020
• Caian Nogueira auf der Fakultätshomepage

• Do., 18–20 Uhr s.t.
• Ludwig 28, Rgb 024

• Fr., 12–14 Uhr
• GSP 1, A 020

• Veranstaltungszeit: Mi., 18–20 Uhr c.t.
• Veranstaltungsort: Amalienstr. 73A, 101
• Julia Husmann auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 18–20 Uhr c.t.
• Veranstaltungsort: GSP 1, M 201

• Veranstaltungszeit: Mo., 12–14 Uhr c.t.
• Veranstaltungsort: GSP 1, M 201
• Maximilian Bühner auf der Fakultätshomepage

• Veranstaltungszeit: Mi., 16–18 Uhr c.t.
• Veranstaltungsort: PHP 2, W 201
• Dr. Charlotte Wendland. M. Jur (Oxford) auf der Fakultätshomepage

• Veranstaltungszeit: Mo., 14–16 Uhr c.t.
• Veranstaltungsort: Ludwig 28 RG, 123
• Dr. Matthias Lüdeking, M.A. auf der Fakultätshomepage
  

• Veranstaltungszeit: Mo., 12–14 Uhr s.t.
• Veranstaltungsort: GSP 1 - A 021
• Dr. Silvia Deuring auf der Fakultätshomepage
  

• Veranstaltungszeit: Do., 18–20 Uhr c.t.
• Veranstaltungsort: GSP 1, C 005
• Johannes Hösle auf der Fakultätshomepage

• Veranstaltungszeit: Di., 16–18 Uhr c.t.
• Veranstaltungsort: Ludwigstr. 29, 409

• Veranstaltungszeit: Mo., 18–20 Uhr s.t.
• Veranstaltungsort: PHP 2 - W 201
• Peter Moser auf der Fakultätshomepage