Item title with link This is a short description of the training or teaching item. This is a short description of the training or teaching item.This is a short description of the training or teaching item. Bachelor’s level; Master’s level;…
Data Clinic This course aims to provide support, tips and guidance for the technical and practical issues that tend to turn up during language data handling, processing and analysis. Doctoral level, Master’s level
Corpus Linguistics and Statistical Methods You will understand what corpora are and how they can be used for solving small questions concerning language use, for example in language teaching and learning, or in translation. Bachelor’s level
Introduction to Speech Analysis The main goal of the course is to provide students with basic tools for studying speech samples. The course provides an overview of the processing of speech data and acoustic-phonetic analysis methods of speech. The course…
Applied Language Technology This website hosts the learning materials for a massive open online course (MOOC) created by the University of Helsinki. The MOOC is intended to provide an introduction to applied language technology for audiences who are unfamiliar with…
Kielipankki user training Teaching structured through one course on how to use the Language Bank of Finland and its resources with the support of the CSC environment.
Elements of Supercomputing You will learn the fundamentals of supercomputers and high performance computing, the essential vocabulary needed to understand what supercomputing really is all about, and what is needed to understand how supercomputers used. By the end of the…
CSC Computing Environment This online course consists of 10 topics focusing on using the CSC High Performance Computing environment, which has been tailored for researchers to be easy and efficient for scientific use. The CSC services (Puhti, Allas…) discussed in…
Research Data Management The course is divided into six sections: 1) Introduction, 2) Data Management Planing, 3) Data Collection, Documentation and Organization, 4) Computing, Analysing and Storing during the project, 5) Sharing, Publishing and Preserving data, and 6) Discover and…