CSC järjestää työpajan 20.2, johon kutsutaan palveluntarjoajia keskustelemaan siitä mitä voisimme tehdä yhdessä, jotta opetuksen ja koulutuksen järjestäjien ja oppijoiden ulottuville saataisiin mahdollisimman paljon ja mahdollisimman helposti uusia palveluita.
We will demonstrate how efficient computing environment and data management can help YOU -Did you know that all Finnish researchers are entitled to use the CSC services without any extra costs?
This course addresses hybrid programming by combining OpenMP and MPI, as well as more advanced topics in MPI. Also, parallel I/O is discussed and exemplified in the course.
Overview of Lidar tools in Taito.
Data is everywhere and it is growing! The growth of data volume has led to many challenges when it comes to processing it. Spark, a high-performance distributed computing framework, allows us to tackle big-data problems by distributing the workload across a cluster of machines, making those workflows painless.
This hands-on course introduces the participants to RNA-seq data analysis methods, tools and file formats. It covers the whole workflow from quality control and alignment to quantification and differential expression analysis. The free and user-friendly Chipster software is used in the exercises, so no previous knowledge of Unix or R is required.
This one day course focuses on using the CSC environment which has been tailored for researchers to be easy and efficient for scientific use.
CSC provides several alternative platforms for doing bioscience related computing. This course provides overview of these services so that after the course the students know how to choose a right platform combination for their analysis. No previous knowledge is required - the course is suitable for everybody!
Beginner course for data carpentry and visualization using R.
This introductory course covers single cell RNA-seq data analysis methods, tools and file formats. The free and user-friendly Chipster software is used in the exercises, and the course is thus suitable for everybody.
This webinar gives you a quick introductions on metadata usage in research data. Metadata needs to be standardized in order to be able to compare data to other data. Metadata schemes are the overall structure for the metadata.
This event provides a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment to the essential ingredients for molecular modeling and computational chemistry using modern supercomputers. Standard approaches such as classical and ab initio molecular dynamics, electronic structure models as well as several more special topics are explained and exemplified by prominent researchers in the field.
Proteomics is a systems biology approach to study the entire protein complement of a cell, tissue, or organism. This large-scale study of proteins is increasingly popular in post genomics era and has found its widespread applications in fields including drug discovery, cardiovascular research, and nutrition research, just to name a few. This course will provide both theoretical and practical training at the introductory level. Participants will learn the principles of current methodologies and apply bioinformatics tools for data analysis.
This course covers the modern features of the Fortran programming language. Topics include object-oriented features, language interoperability and several other enhancements included in Fortran 2008 standard. In addition, a way to express distributed memory parallelism via Fortran coarrays will be discussed in detail.
This course provides a comprehensive introduction to scientific visualization using ParaView.
FAIR-data on löydettävää, saavutettavaa, yhteentoimivaa ja uudelleenkäytettävää. On tärkeää, että ihmiset ja tietojärjestelmät voivat löytää, saada käyttöönsä, analysoida ja yhdistellä kulloinkin käsillä olevaan tehtävään soveltuvaa tieteellistä dataa. Tämä webinaari tarjoaa lisätietoa FAIR-periaatteista ja niiden soveltamisesta käytäntöön.
ulia is a new high-level, high-performance programming language. In other words, it aims to be simple to write and fast to run. It has gained a lot of visibility especially among various fields of science, such as astronomy, biology, finance, and statistics.
The workshop aims to cultivate the ground for the next generation of scientists which will be able to proactively and efficiently exploit data-driven techniques in materials modelling by bringing together young researchers, experts from computer science and applied mathematics, and renown scientists in the field of chemistry and physics, to engage in discussions about the present and the future of machine learning methods for material science.
This workshop will focus on the core steps involved in calling variants with the Broad's Genome Analysis Toolkit, using the "Best Practices" developed by the GATK team. You will learn why each step is essential to the variant discovery process, what are the operations performed on the data at each step, and how to use the GATK tools to get the most accurate and reliable results out of your dataset.
Annually arranged day for OpenFOAM users and new people interested in it. In this year we meet at Tampere University.
Introduction training course of OpenFOAM software for beginners.
CSC Summer School celebrates its 10th anniversary by bringing together undergraduate and graduate students and postdoctoral researchers in different disciplines of scientific computing. The contents consist of lectures and hands-on training on parallel programming, code optimization and other necessary skills in development of scientific software.