Zentrale Lernplattform • LMU München

Veranstaltungszeit: Blockveranstaltung 

Montag, 09:00 s.t. – 14:30 s.t. am 11.04.2022
Dienstag, 09:00 s.t. – 14:30 am 12.04.2022
Mittwoch, 09:00 s.t. – 14:30 am 13.04.2022
Donnerstag, 09:00 s.t. – 14:30 am 14.04.2022
Freitag, 09:00 s.t. – 14:30 am 15.04.2022

Einschreibeschlüssel: folgt

Als Schreib-Peer-Tutor*in können Sie nicht nur Ihre Peers bei ihren Schreibprojekten unterstützen, sondern lernen auch eine ganze Menge darüber, wie Sie selbst beim Schreiben ticken, wie Schreibprozesse funktionieren und wie Sie gezielt schreibend lernen und denken können. In der Schreib-Peer-Tutor*innen-Ausbildung des Schreibzentrums erwerben Sie also nicht nur Kompetenzen, mit denen Sie Peers nach dem Motto der Hilfe zur Selbsthilfe beim wissenschaftlichen Schreiben begleiten können, sondern feilen auch an Ihren eigenen Schreibkompetenzen.

Some algorithms from machine learning have successfully approached many of the problems that seemed unsolvable a few decades ago (eg. computer vision, image generation). Irrespective of the successes in applied settings, the learning process, as well as the uncertainties that underlie the learning, remain open problems that challenge the foundations of statistics. Since attempts relying on the traditional (Bayesian and frequentist) frameworks have shown only limited success, some researchers have directed their efforts in questioning the foundations of statistics in a very principled manner (eg. What if there is no data generating process? What if we are not certain about our prior beliefs? Can we talk about a conditional distribution of the parameters without imposing a prior on the parameters? Are all uncertainty dimensions covered?).
In this seminar, we will explore foundations rooted in five main blocks, namely: traditional Bayesian and frequentist frameworks, imprecise probability, decision theory, information theory and compression algorithms. We will build on the following non-exhaustive list of papers:

1. Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods - Hüllermeier, Waegeman (2021)
2. Sources of Uncertainty in Machine Learning--A Statisticians' View - Gruber et al. (2023)
3. Minimum description length revisited - Grünwald and Roos (2020)
4. The Interplay of Bayesian and Frequentist Analysis - Bayarri and Berger (2004)
5. Robust Bayesian Analysis: sensitivity to prior - Berger (1987)
6. All models are wrong, but many are useful: Learning a variable's importance by studying an entire class of prediction models simultaneously - Fisher et al. (2019)
7. Strictly frequentist imprecise probability - Fröhlich et al. (2024)
8. Information-theoretic upper and lower bounds for statistical estimation - Zhang (2006)
9. The E-Posterior - Grünwald (2023)
10. How the game-theoretic foundation for probability resolves the Bayesian vs. frequentist standoff? - Shafer (2020)
11. Judicious Judgement Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox - Gong and Meng (2021)
12. Testing by betting: A strategy for statistical and scientific communication - Shafer (2019)


We invite students to suggest their own papers that fit within the topic as well.


Who is this seminar for: Motivated students who are open to explore current trends in the foundations of statistics that might provide tools to solve open problems in uncertainty quantification and learning. The seminar is open to master’s students from statistics, mathematics, economics, data science, and similar backgrounds. For students of the Statistics and Data Science program, the seminar can be recognized for the mandatory seminar module in the Methodology & Modeling, Machine Learning and Social Statistics and Data Science tracks, as well as for the additional elective general seminar module ‘Advanced Research Methods in Theoretical Statistics’ (WP 51).

Data Science tracks, as well as for the additional elective general seminar module ‘Advanced Research Methods in Theoretical Statistics’ (WP 51). Requirements for obtaining 9 ECTS credits: Every student has to
* give a 45-60 minutes long presentation on their chosen topic supported by slides and
* write a seminar paper based on it (As a rough guideline: the typical seminar paper is 25-30 pages long; in case the paper is very technical, it can be considerably shorter, which is to be agreed on with the organisers of the seminar). The paper has to be submitted by 01.06.2025 and shall contain a deepened and extended version of the presentation, also taking up the discussion of the presentation and positioning the chosen topic in the context of the seminar. (The registration for the 9 ECTS has to be done via LSF.)

If places are left, we are happy to offer in addition a 3 ECTS version, based on a shorter term paper or presentation. The 3 ECTS could be used flexibly for one of the corresponding generic modules. To apply for the 3 ECTS option write an email to ivan.melev@lmu.de no later than September 25 (no registration via LSF!).

We expect active participation in the discussions of the seminar. This includes a quick personal preparation for each presentation based on some preparation material (1 page) the speakers are asked to provide one week in advance.

What is the format? This is a block seminar in a face-to-face format. It will take place during the week of 26.02.2025-28.02.2025; the exact dates are still to be decided.

Im gegenwärtigen weltanschaulich-religiösen Pluralismus gibt es eine Vielzahl unterschiedlicher religiöser Gemeinschaften und neureligiöser Bewegungen. Das Seminar beschäftigt sich mit der Entstehung, Lehre und Praxis ausgewählter Gruppen, wie z.B. die Christengemeinschaft, Neuoffenbarer und Neureligionen wie das Universelle Leben oder die Kirche Jesu Christi der Heiligen der Letzten Tage ("Mormonen"). In den Blick kommt auch die Theosophie als "Stammmutter" moderner Esoterik sowie der Neopaganismus (Neue Hexen bzw. Neugermanisches Heidentum)

Es geht um die Entstehungsbedingungen, Grundüberzeugungen und Präsenz dieser Gruppen und Bewegungen in der Gegenwart. Geplant sind Begegnungen mit Vertreter/innen - leider nur per "Zoom". Wenn es die Bedingungen zulassen, ist Anfang 2021 ein Besuch der "YogaWorld"-Messe in München geplant, wo erfahrungsgemäß verschiedene neureligiöse Bewegungen werbend in Erscheinung treten.

Course Overview

The lecture "Strategic Organization Design" deals with how organizations (e.g. companies) should be designed in order to reach their strategic goals. Building upon the fundamentals of strategic and organizational concepts, the focus of this course is especially the interaction between these two fields of research. Based on individual to company-level analysis, the course will answer questions such as how to design for innovation or how organizations could adapt to a changing environment.

The goal of this lecture is to give students an understanding of the theoretical concepts to answer questions of organizational design and the most important methodological instruments available for analyses including econometric and case-based research methods. At the same time, theoretical concepts will be applied to real-world management questions.

Course Structure

The course divides into a lecture and a subsequent tutorial. The contents of both the lecture and the tutorials are relevant for the exam.

Recorded and asynchronous videos uploaded on LMUCast starting on Monday 18.10.2021 (see the link to LMUCast)

Dies ist der Moodle-Raum zur studentischen Tagung „DaF zwischen Wissenschaft und Praxis“ vom 09.11. - 12.11.2021. Hier werden alle wichtigen Informationen und Dokumente zur Tagung gesammelt, weiterhin bietet der Moodle-Raum Möglichkeit zum Austausch unter den Teilnehmenden. 

This course is centered around software design and systems development. We explore and apply the concept of object-oriented programming which is (still) the leading programming paradigm for extensive projects. In contrast to other programming paradigms like functional or declarative programming object-oriented programming languages model objects through their attributes and functionalities. This concept has proven convenient when modeling real-world problems. 

Dieses Tutorium richtet sich vor allem an Teilnehmende des Kurses für Klassisches Chinesisch II im Sommersemester 2021. Gemäß den Bedürfnissen und Wünschen der Teilnehmenden werden die im Hauptkurs erlernten Grundlagen für sinologische Arbeit mit Texten in klassischem Chinesisch vertieft, wiederholt und ergänzt. 

Kursdetails (Moodle-Einschreibeschlüssel, Zoom-Daten) werden auf Anfrage per E-Mail mitgeteilt.

Kursbeginn: Dienstag, 13.4.2021

• Di., 14-16 Uhr c.t.

Einschreibeschlüssel: aktienrecht

Uhrzeit: Freitag, 14-16 Uhr

Einschreibeschlüssel: TutoriumKieslich2021

• Veranstaltungszeit: Fr., 10–12 Uhr c.t. (ab 05.11.2021)
• Form: Hybrid (Präsenz und Zoom-Livestream)
• Veranstaltungsraum: Ludwigstr. 28, Rgb. Raum 503
  
• Einschreibeschlüssel: Int.StR.2021_2022
  

• Veranstaltungszeit: Mi., 16–18 Uhr c.t. (ab 20.10.2021)
• Einschreibeschlüssel: steuerrecht2021

Veranstaltungszeit: Dienstags, 12:30 s.t. – 14:00 (ab 19.10.2021)

Einschreibeschlüssel: folgt

Gretchen Liersaph-Turck auf der Fakultätshomepage