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.
Beginner course for data carpentry and visualization using R.
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!
This one day course focuses on using the CSC environment which has been tailored for researchers to be easy and efficient for scientific use.
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.
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 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.
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?
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.
This course gives a practical introduction to deep learning, convolutional and recurrent neural networks, GPU computing, and tools to train and apply deep neural networks for natural language processing, images, and other applications.
This one day course will introduce you to scripting techniques on Unix/Linux.
This two day course will cover the very basics of Unix/Linux. No previous knowledge about these operating systems is expected, as the course serves as an introduction to those who are completely new to Linux. Both days include hands-on exercises.
Analyzing vector and raster data with R and its spatial packages.
In this course we teach various ways to optimise and parallelise Python programs. Among the topics are performance analysis, efficient use of NumPy arrays, extending Python with more efficient languages (Cython), and parallel computing with message passing (mpi4py) approach.
Korkeakoulujen IAM-verkosto sparraa korkeakoulujen identiteetinhallinnan (IdM/IAM) kehittämistä vertaistukiperiaatteella. Tapaaminen järjestetään CSC:n koulutusluokassa Espoossa.
Introduction to Discovery Studio protein modeling program,
This course gives a basic introduction to writing GPU applications using CUDA. Building on this, performance tools and how to write efficient CUDA code are discussed. Finally multi-GPU programming both within a node and between nodes, as well as new CUDA features will be presented.
Introduction to Python programming form the perspective of bioscience.
Blender is free and open source 3D creation suite, that supports the entire 3D pipeline. Many aspects of Blender will be demoed, depending on the interests of the participants. The focus will be on rendering imported meshes, and creating geometry.
Get an introduction to power usage of the Schrödinger Maestro molecular modeling suite and the Materials Suite including hands-on training.
This course gives you a practical introduction for using CSC's cloud services Pouta.
The reason for doing high-performance computing is, well, high performance - but is your application as good as it can get, in terms of performance? Watch this webinar series and you will have an answer to that - hopefully together with some ideas on how to improve the observed shortcomings. In the last part, we will talk about some algorithmic considerations and MPI programming practices for improving parallel scalability of MPI-parallel applications.
Spark is a high-performance distributed computing framework, which allows to tackle big-data problems by distributing the workload across a cluster of machines. This two day course addresses the technical architecture and use cases of Spark, writing Spark code using Python, and using Spark's machine learning library to perform ML based tasks.
This half-day seminar is meant for the state research institutes. It gives a general overview of CSC services together with a hands-on introduction on getting access to CSC resources and using CSC computing servers.
Julia is a new emerging high-level, high-performance programming language. In other words, it aims to be simple to write and fast to run. This webinar presents you the Julia programming environment on CSC's Taito cluster. You don't need any preliminary knowledge about the language to follow this presentation.
Learn to use Python for spatial analysis and data management.