Servicenavigation

Lehrveranstaltungen

Sommersemester 2023

• Industrial Data Science 2 (Pauly, Baumeister)
• Resampling and Simulation (Pauly, Amro)

• Six-Sigma-Methode (Sattler, Buczak)

Wintersemester 2022/2023

• Industrial Data Science 1 (Deuse, Pauly, Liebig, Teubner, Baumeister, Berens, Möhle)
• Statistische Verfahren (Bommert)

Sommersemester 2022

• Industrial Data Science 2 (Pauly)
• Intensive Course in Statistics for Researchers in Engineering Sciences (Welz, Pauly)
• Introduction to Causal Inference (Yu, Buczak)
• Nichtparametrik und robuste Statistik (Brunner, Baumeister)
• Six-Sigma-Methode (Sattler, Buczak)
• Statistisches Lernen in der Logistik (Dormuth, Pauly)
• Python Blockkurs (Dormuth)

Wintersemester 2021/2022

• Seminar: Empirische Prozesstheorie (Ditzhaus)
• Statistische Verfahren (Ditzhaus, Baumeister, Buczak)
• Industrial Data Science (Pauly, Deuse, Schubert, Teubner, Amro, Berens, Schulte)
• Multiple Hypothesentests (Pauly, Welz)

Sommersemester 2021

• Data Mining Cup Logistics (Pauly, Dormuth)
• Entscheidungstheorie (Pauly, Ditzhaus, Mathieu)
• Intensive Course in Statistics (Ditzhaus, Amro)
• Six-Sigma-Methode (Sattler, Buczak)
• Seminar "Kausale Inferenz in Statistik und maschinellem Lernen" (Pauly)
• Python Blockkurs (Dormuth)

• Programming course with R (Amro)

Wintersemester 2020/2021

• Seminar "Anwendung von Grenzwertsätzen in der Statistik" (Sattler, Pauly)
• Labor "Statistics meets Logistics" (Dormuth, Pauly)
• Wahrscheinlichkeitstheorie (Pauly, Schmid, Welz)
• Fallstudien II (Pauly, Buczak)
• Industrial Data Science (Deuse, Schubert, Teubner, Weihs, Amro, Berens, Schulte)

Sommersemester 2020

• Seminar "Survival Analysis" (Ditzhaus, Dormuth)
• Six-Sigma-Methode (Sattler,Schmid)
• Intensive Course in Statistics (Amro, Pauly)

Wintersemester 2019/2020

• Statistische Verfahren (Pauly, Sattler, Schmid)
• Fallstudien I (Pauly, Freise, Herbrandt, Lilienthal, Sattler, Schmid)
• Oberseminar

Sommersemester 2019

• Asymptotische Statistik (Pauly, Sattler)
• Intensive Course in Statistics (Welz, Pauly)
• Praktikum Statistics meets Logistics (Ramosaj)
• Oberseminar
• Statistische Verfahren im Qualitätsmanagement (Pauly, Sattler, Schmid)
• Seminar Deep Learning in Logistics (für Master und Promotion Logistik)
• Seminar Theory of Pattern Recognition (für Master Statistik und Datenwissenschaft)
• English for Statisticians (Ramosaj)