Prof. Dr.-Ing. Roland Harig

Honorarprofessor

Kontakt

Prof. Dr.-Ing. Roland Harig
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Sprechzeiten
nach Vereinbarung
Harburger Schloßstraße 36,
21079 Hamburg
Gebäude HS36, Raum C2 1.009

Frühere Tätigkeit

bis 03/2015
Leiter des Forschungsbereichs Optische Messtechnik (Infrarotmesstechnik) am Institut für Messtechnik / TUHH

Publikationen

TUHH Open Research (TORE)

2012

2011

2008

Lehrveranstaltungen

Stud.IP
link to course in Stud.IP Studip_icon
Quantitative Research Methods
Subtitle:
Module M1263: Quantitative Research Methods (L1714)
Semester:
WiSe 23/24
Course style:
Project Seminar Module
Course type:
Project Group (Organization)
Course number:
M1263 / L1714
Lecturer:
Prof. Dr. Christian Ringle
Description:
Participants will understand the use, requirements, advantages, and disadvantages of quantitative methods. Examples illustrate the application of quantitative methods and their use to address business problems. The course involves three parts: - The first part of the course focuses on an introduction to quantitative research methods. - The second part of the course involves working on a seminar thesis. Participants are in teams invited to describe selected quantitative research methods and to address simple research questions with the described method. Students are expected to write a short (empirical) paper that applies methods learned in this course to a research question of their choice. - The third part is the final presentation of the results from the group work. Participants will present their own small research projects and discuss the results in the plenum. Participants are invited to join the discussions as a part of the final grade.
Participants:
Students of the study degree program Mechanical Engineering and Management (MEM)
Pre-requisites:
Basic knowledge in business administration and quantitative methods.
Learning organisation:
Sessions by appointment.
Performance accreditation:
Written thesis and presentation.
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Management and Decision Sciences [MDS] (W-9)
Registered participants in Stud.IP: 13
Documents: 3