d. courses

Short courses:

• Introduction to deep Learning. CSC-IT Center for Science, Espoo, Finland. (17.04.2018 - 18.04.2018 ) .
• Analysing large datasets with Apache Spark. CSC-IT Center for Science, Espoo, Finland. (16.11.2017 – 17.11.2017) .
• Python in High Performance Computing. CSC-IT Center for Science, Espoo, Finland. (01.03.2017 – 03.03.2017) .
• Deep Neural Networks. CSC-IT Center for Science & Yandex School of Data Analysis, Espoo, Finland. (01.02.2017-03.02.2017).
• IBM Bluemix Hands-on Workshop Series: 1. Jump start to IBM Bluemix (15.11.20), 2. Let's build a bot (13.12.2016), 3. Drones in Bluemix (14.2.2017).
• Time-Dependent Density-Functional Theory: Prospects and Applications. Benasque Center for Science, Huesca, Spain. (31.08.2008-14.09.2008).
• Lessons for the Development and Optimization of scientific Software. University of the Basque Country, Bilbao, Spain. (25.07.2008-27.07.2008).
• Getting the most from Biomolecular Simulations. IRB Barcelona and Barcelona Supercomputing Center (BSC), Barcelona, Spain. (10.07.2008-11.07.2008).
• Time-dependent density-functional theory with GPAW. CSC-IT Center for Science, Espoo, Finland. (05.06.2008-06.06.2008).
• Basic techniques and tools for development and maintenance of atomic-scale software. CECAM, Lyon, France. (11.02.2008-15.02.2008).

Audited MOOCs:

Philosophy and other humanistic areas:

• Introduction to Philosophy, University of Edinburgh (Grade: 94.5%).
• Philosophy and the Sciences: Introduction to the Philosophy of Physical Sciences, University of Edinburgh (Grade: 100%).
• Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences, University of Edinburgh (Grade: 100%).

Machine Learning, Statistics and other related areas:

• Bayesian Statistics: From Concept to Data Analysis, University of California en Santa Cruz (Grade: 100% with Honors).
• Machine Learning, Stanford University (Grade: 96.5%).