News
Interim Review of the MIDAS Project
- /research/midas-model-and-inference-driven-automated-testing-services-architectures
- http://www.midas-project.eu
Prof. Grabowski office hours start at 10:00 o'clock (Thursday, April 24th)
Article Accepted for the International Journal on Software Tools for Technology Transfer
No office hours of Prof. Dr. Jens Grabowski on Thursday, 10th April 2014
No office hours of Prof. Dr. Jens Grabowski on Thursdays, 13th and 20th March 2014
TDL V1.1.1 Approved and Published
ISTQB Certified Tester Foundation Level Examination on 31.03.2014
Journal article accepted for RAIRO - Theoretical Informatics and Applications
No office hours of Prof. Dr. Jens Grabowski on Thursday, 6th February 2014
Data Science Colloquium with Alexander Kagoshima
On Monday, 28th January 2014, Alexander Kagoshima from Pivotal Germany will give a talk with the topic "A Data Science Field Report" in the computer science colloquium. The presentation will take place at 14.00 c.t. in the seminar room 2.101. The abstract of the talk is as follows:
"Pivotal runs a Data Science practice to support numerous customers across the globe in using the Pivotal technology stack by developing innovative approaches to leverage their data assets. The Pivotal Data Science team comes from a lot of different backgrounds and applies a wide variety of mathematical methods, including but not limited to stochastic modelling, operations research and machine learning to generate actionable data-driven insights. A key point of this team's work is the application of analytical algorithms to Big Data, which makes it absolutely necessary to use scalable methods and run algorithms in a parallelized fashion. In this talk, Alexander Kagoshima, the first member of the Pivotal EMEA Data Science team, will give a field report as to what this type of work means in practice. He will give Pivotal's definition of Data Science, discuss Pivotal's data storing and processing technologies and how they help the Data Scientist in their day-to-day work and explain the life cycle of a Data Science customer engagement. Additionally, there will be a detailed discussion of a selected Data Science project that was performed for a customer in Germany."