- The registration for our doctoral courses is binding.
- From the course program, all doctoral candidates who entered the list of doctoral candidates after January 1, 2014, have to complete at least four courses in Methods/Theory and one research skills seminar or five courses in Methods/Theory. Each doctoral course has to be on doctoral level and has to be equivalent to 4 ECTS and a minimum of 22.5 hours class time.
- Doctoral candidates who would like to hand in their docotral thesis must contact the Graduate Center in time (at least three months in advance) in order to request the approval form before submitting your dissertation to make sure your doctoral course program is completed. Please note that there are different approval forms according to the entry date to the list of doctoral candidates and the membership status in the Graduate School.
- All doctoral courses are taught in English.
efore, renowned researchers from various European universities will present their latest research in the fields of asset pricing, corporate finance, and financial intermediation. Extensive discussion in class is encouraged. Thereby, students will learn to know and discuss critically current topics in finance. They will also learn more about state-of-the-art research methodologies.
The target audience are PhD students and post-docs in finance. A requisite for participation is a specialization in finance and/or accounting.
Syllabus: Advanced Topics In Finance
Registration: Please send an email to matthias.hanauer[at]tum.de by September 20, 2019. In your email, please state your department and specify the topic and state of your PhD thesis or research area (post-docs). Strict preference will be given to individuals with a specialization in finance and/or accounting.
Various speakers from various European universities
Students need to participate for a sufficient amount of presentation time (22.5 hours) to arrive at the full credit of 2 SWS.
Potential ways of participation:
• Finance seminar series
• Munich Finance day (usually counts 3 hours, takes place 2x per year, usually at the end of January / July, dates can be found here)
phic change. A special focus will be given to the analysis of: 1) the consequences of aging for the sustainability of the social security systems; 2) the interactions between economic decisions and health outcomes and 3) the consequences of aging on labor, capital and goods markets.
Basic knowledge of the empirical research methods is essential. The successful completion of courses like “empirical research methods”, “angewandte Statistik”, “empirische Wirtschaftsforschung”, “consumer behavior research methods” is highly recommended.
Syllabus: Economics of Aging (Methods/Theory)
Registration: By e-mail to: email@example.com until October 7, 2019
Prof. Axel Börsch-Supan
Max Planck Institute for Social Law and Social Policy
Kick-Off: October 16
Location: Munich Center for Economics of Aging, Max-Planck-Institut für Sozialrecht und Sozialpolitik, Room 313, Amalienstraße 33, 80799 München
rden mit diesem Seminar die Mindesanforderungen von 22,5 Vollzeit-Präsenzstunden erreicht. Im Rahmen des Seminars werden aktuelle Veröffentlichungen zum Einsatz von Conjoint-Analyse im wissenschaftlichen Umfeld diskutiert sowie die Vor- und Nachteile der Methode herausgearbeitet (siehe Seminar begleitende Literatur: Wildemann – Conjoint-Analyse und Kundenorientierung). Ebenso Bestandteil des Seminars ist die Erarbeitung einer Vorgehensweise Conjoint-Analysen aufzubauen, welche in Form von Gruppenarbeiten erarbeitet wird. Ziel des Seminars ist, dass die Teilnehmer/-innen in Ihrem Forschungsumfeld Conjoint-Analysen gezielt einsetzen können, um empirische Erhebungen durchzuführen.
Registration: Alle interessierten Doktoranden/-innen müssen sich bis spätestens zwei Wochen vor Verantstaltungsbeginn per E-Mail anmelden (E-Mail: firstname.lastname@example.org)
Prof. Dr. Dr. h.c. mult. Horst Wildemann
ociated with machine learning theory, methodologies and novel business applications. We will discuss basics of estimation as a machine learning problem. In the process we will cover problems such as regression (classication as regression), classication, clustering, and reinforcement learning as well as methodologies used for solving these problems. We will discuss articles which have used these formulations and methodologies as an integral part of the seminar.
Students taking this seminar should have some background in probability theory, statistics, linear algebra, algorithms and optimization theory. Though not necessary, knowledge of R and/or Python is also helpful.
The seminar is a mixture of lectures (by me) and presentations by you. Each student will have the option to discuss an article that is relevant to the topics covered here and/or present a relevant research idea.
Registration: Please contact Ms. Christine Steinberger, email@example.com. Max. 20 participants. First come first served.
Haldun Aytug (University of Florida)
Location: TUM School of Management, Room 1517 - 1519
all papers and all journals are the same. Academic conversations are often led by publications in so-called top journals. That does not mean that all papers in top journals are good, or that papers published outside those journals are bad – however, given how we all have limited time (and, hence, often focus our reading time on top journals), publications in top journals carry more status and, in the logic of a self-fulfilling prophecy, that should attract better paper submissions, a stricter reviewing process, and, hence, higher quality on average.
Syllabus: Paper Design Workshop
Please submit to firstname.lastname@example.org by 30.11.2019: a cover letter, a full, up-to-date academic resume, the paper or paper idea you would like to bring into this course including any review(s) you may have potentially received on the paper previously. In your cover letter (no longer than 2 pages), please specify (1) the topic and state of your doctoral thesis, (2) why and how you think that taking this specific course will help you become a better scholar, (3) what scholar you would like to become, (4) the history of your paper (where does it come from, where has it been), and your goals for the paper (where do you want to submit it, when, and why), and (5) why you think this paper can make a contribution to academia, what that contribution is, and who would care. Please note that no feedback can be provided on applications that are turned down.
All courses take place at the Entrepreneurship Research Institute (Building 5433) at Garching (Room 2001), from 9:00am-5:15 pm.
luential for management research and practice. At the end of the course participants will be familiar with the key concepts, respective empirical findings, and their application to management practice. To this end, each participant will be asked to present in class recent research pertaining to the theory s/he chooses, and to conduct an interactive exercise to facilitate a more comprehensive understanding of the theory’s relevance for management research and practice. During the kick-off session, participants wil receive an introduction to both psychological research and psychological research methods and will be asked to choose one of the theories. Thus, the attendance on that day is required.
Syllabus: Psychological Theories
Registration: By email to: email@example.com until November 13, 2019 (Wednesday). Participants will be admitted on a first come, first served basis.
Prof. Dr. Claudia Peus & Dr. Anna Brzykcy
January 13, 2020, 9.30 a.m. to 6.30 p.m., Room Z538
January 27, 2020, 9.30 a.m. to 6.30 p.m., Room Z538
achine Learning models. It also teaches some highly relevant python packages, version control, project management. Each afternoon (except on the first day) the students work on their own applied exercises – the course is thus totally applied.
Please bring your own laptop + charger.
Syllabus: Python Course Outline
Registration: By e-mail to firstname.lastname@example.org until March 15, 2020. Max. 25 participants. First come, first served.
Michael E. Rose, Post Doctoral Researcher at MPI for Innovation and Competition
Location: TUM School of Management, Room Z534
Please bring your own laptop + charger.
ding management and related fields. Qualitative papers are published in leading management journals (e.g. Academy of Management Journal). In this seminar you will learn about the nature, design, and methods of qualitative data collection and analysis. The seminar is targeted at postgraduate students (PhD and post doc researchers), who intend to employ qualitative research designs and methods.
Registration: If you want to attend and participate in the postgraduate seminar, write an email to: Frank.Belz@tum.de. The registration deadline for the seminar is the tbd. Prof. Dr. Frank-Martin Belz will confirm your registration and grant access to the required readings.
Prof. Dr. Frank-Martin Belz
20.1.2020 9 am - 5:30 pm
27.1.2020 9 am - 5:30 pm
and technical aspects of this research program. After this course, participants should
- know of state-of-the art accounting literature
- understand the methodological approaches to empirical archival accounting research
- know (and avoid!) common pitfalls of empirical archival research designs
- have a feeling for the most important aspects for publishing in top-journals in accounting
- be able to identifying interesting, important, and researchable topics in financial accounting
- be able to formulate testable hypotheses about research topics
- be able to empirically test hypotheses using valid, powerful, and otherwise wellchosen research designs
- be able to identify topics and settings for your own research/PhD projects
Registration: Please write an e-mail to email@example.com by October 10th, 2019 at the latest.
Prof. Dr. Jürgen Ernstberger
Sometimes other dates (will be provided in the course)
Kick-off: October 15th, 2019, 4.30 p.m.
TUM School of Management, 0505
Room 3546 (entrance opposite to Luisenstraße 57, 3rd floor)
is no boiler-plate template to follow. In this course, we will look at different paths that authors have taken when writing up qualitative work, discuss how to tackle reviewers’ comments and participants will get a chance to reflect on their own writing and how to make it more transparent.
Syllabus: Publishing Qualitative Papers
Registration: Please register by sending an e-mail to Prof. Breugst (firstname.lastname@example.org).
Prof. Anna Brattström / Prof. Nicola Breugst
8.10.2019 9 am-16 pm,
9.10.2019 9 am-12 noon,
and an additional day of presentations (for students needing course credits, tbd in the course).
The course will be held at the Entrepreneurship Research Institute in Garching.
hods. We will not focus on the econometrics, but aim at developing the students’ understanding of what the methods are all about and how they work in practice. The course is taught over 5 days. We expect all students to read all the required readings and be prepared to discuss as the class will be interactive. Attendance is mandatory! We have combined lectures that provide an overview of the different concepts as well as more applied exercises that employ the techniques we will discuss. All examples will be illustrated using STATA. Please bring your own laptops – if you do not have STATA, please make sure you can access a network license from the School of Management.
Syllabus: Applied Econ SS 20
Registration: email@example.com (no later than April 1st, 2020)
Prof. Dr. Hanna Hottenrott
Course time: tba
- Janine Rothenburger
Grade Management, Doctoral Program
- Phone +49 (89) 289 25033
- Fax +49 (89) 289 25070
- Room 1566
- E-Mail firstname.lastname@example.org
- Office hours
Responsibilities: registration to list of doctoral candidates, DocGS, submission of doctoral thesis, proofreading service, internationalization grants, certificates
- Stephanie Roas
Program Manager, Doctoral Program
- Phone +49 (89) 289 25080
- Fax +49 (89) 289 25070
- Room 1545
- E-Mail email@example.com
- Office hours
No appointments required:
Tue 09:00-12:00 and
January 14: from 09:00-10:30 only
Responsibilities: program management, project management
- Skype-Account (only during office hours, only text chat possible)