We are again announcing the Basic Training for SeisComP3. This Beginner Course is perfect for new SeisComP3 users who wish to get quickly started with a productive SeisComP3 system.
The training covers the following topics:
The training is highly hands-on oriented. Trainees get to learn and to practice actively at all times. Therefore, the registration to the 4 days training is open to everyone but limited to a maximum of 8 persons.
It will be held at gempa offices in Potsdam, Germany.
See the training page for more information and the goals of the course.
4. - 7. September 2017, 08:30 - 16:00 (tentative, can be changed)
Use our poll to tell us about your preferences for the possible course dates. Please choose you one or more preferred periods of 4 successive days for the training or contact us to suggest further dates
gempa offices, Potsdam, Germany
The course fee is 1800 € per participant.
Participants bring their own computer with a modern Linux installed and access to internet. We recommend to choose Linux distributions with Long-Term-Support (LTS). Alternatively, we can provide Linux in a Virtual Machine for which the participant must have VirtualBox (https://www.virtualbox.org/) installed. The participant will receive the VM about one week before the start of the training and is responsible for the testing and functioning on the computer.
The course fee does not cover costs for accommodation, boarding and transportation. Snacks and drinks will be provided during the course. Contact us if you need help to find your hotel.
Potsdam offers a wide range of hotels at different categories. The city centre of nearby Berlin is easy to reach by public transportation but at least half an hour extra time should be considered to get to our premises.
Hotels in Potsdam that are close to our premises include:
Public transport in Potsdam and Berlin is usually dense and reliable. Trams, busses and trains are within walking distance from our premise at the Potsdam's central train station. Check the connections of tram, bus or train lines: