The student will be capable to analyse and design parallel architectures and programmes using various methods and techniques.
The aim of the course is to create an insight into high-performance computing in Physics. The tasks of the course are: (1) to overview applications…
The students will have an in depth understanding of the machine learning techniques used on structured data (input and output). They will be able to…
The aim of the course is to acquaint students with creation of mathematical models for description of complex physical processes and methods for…
The study course covers the theoretical and practical principles of high-performance computing in the context of cybersecurity by using graphics…
The course introduces students to the basic principles that should be acquired to mathematicians, statisticians, economists and financiers and others…
The goal of the course is to understand the methods of distributed and parallel processing, the possibilities to paralelise sequential execution,…
The course is devoted to the construction of artificial neural networks and includes the following sections: Biological neuron; Artificial neuron;…
Machine learning is the process of developing and applying predictive algorithms to predicting future outcomes using available training data. Machine…
The aim of the course is for the students to become familiar with the basics of modern machine learning techniques. Upon completion of the course,…
The module is devoted to intelligent computer technologies and includes the following sections: Genetic algorithms for symbolic information…
Message Passing Interface (MPI) is a standardized and portable message-passing standard designed to function on parallel computing architectures.…
Introduction to methods for identifying valid, novel, useful, and understandable patterns in data. Data preprocessing Induction of predictive models…
Our goal is to demystify AI. The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to…
The goal of the course is to complete the knowledge of students in the field of intelligent systems, starting from pre-processing data to validation…
The student will acquire knowledge about the five basic data analysis parts: data wrangling, clearning and sampling, data management, data analysis,…
The study course consists from the following topics: -introduction to computer program process parallelization and cloud technology usage. -CPU…
The student will be able to apply advanced algorithms and techniques from the area of AI and ML.
The current course provides knowledge on Cloud Computing (CC) architecture, design and maintenance of CC systems, and cloud services. During the…
