Qualification Programme
Experimentierstube

Experimentierstube

The Experimentierstube is an open research laboratory and the basic infrastructure in which real data is collected (Mapathon) and made available to all doctoral students of the RTG. The organization and the work within the Experimentierstube is mainly carried out by the doctoral students themselves; postdocs and associated members are also integrated. For a quick and goal-oriented introduction and familiarization with the Experimentierstube, the module "Experimentierstube" is offered as part of the qualification concept, which all doctoral students are required to complete within the first half of their doctorate. In addition to teaching methodological skills, the module serves to promote interdisciplinary cooperation and networking among doctoral students.


Lectures of the 2nd Cohort

DateTitleInstructor
18.02.2020      Software ManagementRottensteiner
06.03.2020 Public Domaine software libraries: Overview Rottensteiner, Paffenholz, Thiemann
22.-23.04.2020 Maps, Geographic Information SystemsSester
01.-02.07.2020 System and Component Calibration of Multi-Sensor Systems      Neumann
16.04.2020 Introduction to the Central Experimentation Facility Brenner, Fischer
01.04.2020 Documentation of Experiments and Filing of Meta Data Ziedorn, Kaps (TIB)
05. + 07.05.2020 Manipulation of Large Data Volumes, Parallel Processing using Hadoop/SparkLUIS, Brenner, Fischer
postponed Introduction to ROS Wagner, Voges
postponed Concepts for the Validation of Measuring Processes and Quality Parameters Neumann

Lectures of the 1st Cohort

DateTitleInstructor
22.02.2017     Software ManagementRottensteiner, Paffenholz
06.03.2017 Public Domaine software libraries: OverviewThiemann
20.-21.03.2018Introduction to ROSWagner     
27.04.2018Maps, Geographic Information SystemsSester, Czioska
19.-20.04.2019 System and Component Calibration of Multi-Sensor Systems      Paffenholz
05.05.2019 Introduction to the Central Experimentation Facility Brenner, Kuntzsch
11.05.2019 Documentation of Experiments and Filing of Meta Data Ziedorn, Kaps (TIB)
19.05.2019Concepts for the Validation of Measuring Processes and Quality ParametersNeumann
02.08.2019Manipulation of Large Data Volumes, Parallel Processing using Hadoop/SparkLUIS, Brenner
Mapathons