Prof. Dr. Wolfgang Bischof

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B 1.08

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by appointment

Field of Study

Stochastics, Data Analytics, Mathematics

Professor of Data Analytics at Technical University of Applied Sciences Augsburg (since 2022)
Professor of Mathematics at Rosenheim University of Applied Sciences (2011–2022)
Software Developer at MAN Roland (2002–2011)
Data Scientist at aspect online AG (2000–2002)
Ph.D. from the University of Augsburg (2000) under Prof. Dr. Pukelsheim at the Chair of Stochastics and Its
Applications on “Analysis of M/G/1 Queues”
Master’s degree in Mathematics with a minor in Physics from the University of Augsburg (1997)

Lectures: Descriptive Statistics and Probability Theory, Inductive Statistics for Data Science; Data Analytics 1+2 for Business Psychology; Introductory Course “Learning to Prove” for Business Mathematics at the Technical University of Rosenheim
Established the Data Science degree program together with Prof. Dr. Caroline Justen and Prof. Dr. Stefan Etschberger
Director of the Data Science degree program together with Prof. Dr. Caroline Justen
Statistical consulting for companies and government agencies
Instructor for the course “Applied Probability and Statistics” offered by the German Actuarial Association (DAV)
Development of a cross-university collection of math questions

Data Science Projects with Companies
Development of a price index for auto insurance, which has been published by dpa and others since 2009
Supervision of the BAZI project. BAZI stands for “Calculation of Numbers Using Allocation Methods on the Internet”; among other things, the BAZI program contains more than 1,500 datasets on elections, ranging from the first election to the U.S. House of Representatives in 1790 to the 2025 German federal election.

Bischof, W.; Pukelsheim, F. & Stelz, M. (2021): Vierzig-Prozent-Regel für mit der Personenwahl verbundene Verhältniswahlen: Empirische Überprüfung einer praktischen Hypothese. Zeitschrift für Parlamentsfragen 3/2021 (52. Jg.) 669-674.
[ Link: https://www.math.uni-augsburg.de/htdocs/emeriti/pukelsheim/2021b.pdf ]
Pukelsheim, F. & Bischof, W. (2021): Bundeswahlgesetz 2020 – Vom Regen in die Traufe. Deutsches Verwaltungsblatt 7/2021 (136. Jg.) 417-427.
[ Link: https://www.math.uni-augsburg.de/htdocs/emeriti/pukelsheim/2021a.pdf ]
Bischof, W. & Pukelsheim, F. (2020): Parametrische Statistik. 445 Seiten. Fernuniversität Hagen.
Bischof, W. & Pukelsheim, F. (2018): Überlegungen zum Landeswahlgesetz nach der Wahl zum 18. Bayerischen Landtag am 14. Oktober 2018. Bayerische Verwaltungsblätter – Zeitschrift für öffentl. Recht und öffentl. Verw., 22/2019, 757-769.
[ Link: https://www.math.uni-augsburg.de/htdocs/emeriti/pukelsheim/2019c.pdf ]
Bischof, W.; Hindinger, C. & Pukelsheim, F. (2016): Listenverbindungen - ein Relikt im bayerischen Gemeinde- und Landkreiswahlgesetz, Bayerische Verwaltungsblätter – Zeitschrift für öffentl. Recht und öffentl. Verw., 3/2016, 73-108.
[ Link: https://www.math.uni-augsburg.de/htdocs/emeriti/pukelsheim/2016a.pdf ]
Bischof, W. (2001): Analysis of M/G/1-queues with Setup Times and Vacations under Six Different Service Disciplines, Queueing Systems 39 (2001), 265 – 303.

2015: Most nominations in the “Seminar-Based Instruction” category
2016: Most nominations in the “Innovation Award” category
2017: Most nominations in the “Modern Didactics” category
2019: Teaching Award for Outstanding Teaching in the “Modern Pedagogy” category (prize of 900 euros)