Winter Semester 2022/2023

Modules A/I & A/II

Last update: 31.10.2022 (Links to the webpages of external lecturers are provided.)

Courses	Lecturer(s)	Dates
Quantitative Methods	Elsas	16.01. 10:00-18:00 30.01. 10:00-18:00 02.02. 10:00-18:00 (Terminänderung)
Basic Readings in Management	Högl; Bertling	25.10. 10:30-12:00 13.12. 14:00-18:00 20.12. 14:00-18:00
Experimental Methods	Jaspersen	10.10. 09:00-13:30 11.10. 09:00-13:30 12.10. 09:00-13:30 18.10. 09:00-12:00 19.10. 09:00-12:00 17.01. 09:00-14:00 18.01. 09:00-13:00
Simulation Methods	Martignoni	10.01. 09:00-17:00 24.01. 09:00-17:00 07.02. 09:00-17:00 @Kaulbachstr. 45 Room 202
Presentations and Reports (A/II)	Kretschmer	18.10. 14:00-16:00 @Kaulbachstr. 45/006 EG
Funding and Projects (see syllabus below)	Nasev	19.10. 14:00-16:00 21.12. 13:00-19:00 15.02. 13:00-19:00
Scientific Publications	Groshjean; Khashabi	24.11. all day 25.11. all day

Module B/I

Courses in Accounting & Finance	Lecturer(s)	Course Type	Course hours SWS
Accounting Theory	Schwaiger; Ho	S	2
Empirical Research in Tax Accounting	Bauer; Huber	S	n/a
Big Data and Taxes	Schanz; Eismayr; Schlie; Sixt; Wanke	S	4
Advanced Behavioral Finance	Glaser	S	4
Empirical Research in Accounting, Auditing and Analysis	Sellhorn	S	n/a
Structural Equation Modeling	Diamantopoulos; Adler	S	2

Type = Course type (L: Lecture, T: Tutorial, S: Seminar); SWS ("Semesterwochenstunden") = Contact hours per week

Courses in Marketing & Strategy, Innovation and Leadership & Learning	Lecturer(s)	Course Type	Course hours SWS
Research Methods in Information Systems (Forschungsmethoden der Wirtschaftsinformatik)	Hess; Wurm; et al.	S	2
Digitales Management und Neue Medien	Hess	S	n/a
Empirics of Organizations	Nicolle; Wu	S	4
Frontiers in Strategy Research	Kretschmer; Tuschke; Seigner; Geiger	S	4
Competitive Strategy	Claussen; Rusakov	L/T	2/2
Electronic Markets	Spann	L/T	4
AI for Managers	Feuerriegel	L/T	4
Advanced AI in Businesses and Organizations	Feuerriegel	S	4
Research in AI and Management	Feuerriegel	L	2
Structural Equation Modeling	Diamantopoulos; Adler	S	2
Marketing Measurement & Modeling	Sarstedt; Adler	S	4

Type = Course type (L: Lecture, T: Tutorial, S: Seminar); SWS ("Semesterwochenstunden") = Contact hours per week

Last update: 12.01.2023 (Links to the webpages of external lecturers are provided.)

Courses	Lecturer(s)	Dates	Course Type	Course hours SWS
Prep-course on data science with DataCamp* Register here until Oct 16 (23:55)	Seigner	21.10. 15:00-16:00	S	4
Discussion Series (consisting of 3 Talks) on Quantitative Methodology in Management Research: (Talk 1 \| Beyond Statistical Significance: Effect Sizes, CIs, Graphs, Baseline Models, Meta-Analyses and Bayesian Statistics Talk 2 \| Bayesian Statistics: How to Conduct and Publish High-Quality Bayesian Studies Talk 3 \| How Replication Studies Can Improve Doctoral Student Education and Improve the Quality of Management Research) POSTPONED -> Apr/May 2023* Register here between tbd and tbd	Schwab	tbd	S	1
Automated Textual Analyses (see syllabus below)* Register here until Nov 10 (23:55)	Schütt	14.12. 09:00-16:00 15.12. 09:00-16:00 16.12. 09:00-16:00	S	2
Workshop \| Developing a Research Topic: From Research Gap To Contribution and Research Program* Room 202 @ ISTO Register here until Jan 13 (23:59), 2023	Martin	17.1. 13:30 - 16:30	S	1
PhD Workshop on “Contributing” to the Management Literature (organized by TUM / Alexy) (application deadline Jan 31, application procedure --> see syllabus below)	Posen	17.04.-19.04. 9:00-12.00 & 14:00-17:00 plus Zoom (3h; day& time TBA) location: TBA	S	2

* Registration e-mails will be sent upfront.