Jak wykorzystuje się metody chemii kwantowej do projektowania algorytmów kombinowanych kwantowo-klasycznych, które z kolei mogą być wykorzystane do…
Learn how to accelerate your applications with OpenACC and CUDA, how to train and deploy a neural network to solve real-world problems, and how to…
Big data management is a major challenge, as it is necessary to establish a process that ensures quality, findability, accessibility, and reusability…
Technological intelligence can be defined as "the set of coordinated activities aimed at acquiring solid knowledge on the scientific and…
Single-cell omics (SCO) has revolutionized the way and resolution by which life science research is conducted. SCO encompasses multiple technologies…
Pandas solves the full stack of data analysis in Python; reading-in of data, mangling and manipulation, analysis, and visualisation (and much more,…
The R part of the course will be focused on presenting the basics of exploratory data analysis in R, as well as presentation of the…
Natural Language Processing is about techniques to automatically extract relevant information from language, primarily text. Recent advancements in…
The focus of this short course is to provide to beginners in High Performance Computing (HPC) and Computational Fluid Dynamics (CFD) a crash course…
Julia (Julialang) is a powerful programming language developed at MIT and specially adapted to scientific and technical fields. This language allows…
Join the discussion on the possibilities of quantum computing in general, and FiQCI in particular. Find out and influence how to best utilise FiQCI…
Use of open source solutions for simulations in fluids and solids on the HPC system. For simulations in fluids the use of the OpenFOAM package…
