The course will introduce the students data mining and machine learning algorithms for analyzing massive amounts of data. The emphasis will be on the…
This module is devoted to the construction of artificial neural networks and includes the following sections: Biological neuron; Artificial neuron;…
By completing the course the student will be able to understand complex distributed and parallel systems and develop distributed applications…
Data management and mining supply methods and technologies can be used to transform available data into the useful information and knowledge. Data…
The goal of this course is to obtain knowledge and skills related to the modern trends in parallel processing, grids, HPC and cloud computing.
The current course provides knowledge on Cloud Computing (CC) architecture, design and maintenance of CC systems, and cloud services. During the…
The student will be introduced to the variety of modern intelligent systems and the ability to extract and store knowledge.
Student gets introduced in most important algorithmic methods used within the field. For the problems considered, algorithms for their solution are…
The goal of the course is to introduce the students to the concepts of scientific programming, applications of the current computing…
Research generates significant amounts of data that are used to communicate the results of a particular investigation. However, currently, these data…
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,…
