The International Energy Agency (IEA) Implementing Agreement for a Cooperative Programme on Geothermal Energy Research and Technology, or Geothermal Implementing Agreement (GIA), provides an important framework for wide-ranging international cooperation in geothermal R&D. Its activities presently cover four different research areas: Environmental Impacts of Geothermal Development, Enhanced Geothermal Systems, Advanced Geothermal Drilling Technology and Direct Use of Geothermal Energy.
The GIA has begun its third 5-year term of operation, which ends on 31 March 2012. The mission for this term is to promote the sustainable utilization of geothermal energy throughout the world by: improving existing technologies, developing new technologies to render exploitable the vast and widespread global geothermal resources, facilitating the transfer of know-how, providing high quality information and widely communicating geothermal energy's strategic, economic and environmental benefits.
Free thinkers. Curious people collaborating across borders. Pioneers pushing back the boundaries of what is possible. Teams building upon the work of others. People trying things just to see what happens. Those are all phrases that could be applied to KDE - or to scientists. The scientific mindset shares a lot with that of free software and so it is no surprise that there are plenty of scientists within our community, nor that KDE has some strong applications in the world of science.
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
In der Oberstufe wird nicht nur der Stoff anspruchsvoller. Auch neue Methoden werden für die Vorbereitung von Referaten und Präsentationen, oder die Bewältigung der Facharbeit benötigt – wissenschaftliches Arbeiten ist gefordert.