The goal of the course is to introduce the students with the concepts of grid computing, collaborative research, programming large scale systems,…
This course is focused on the practical aspects of Machine Learning. Within the course students get familiar with with the techniques of…
This course covers the design and implementation of massive and parallel systems, both from machine (hardware) and program (software) sides. More…
As the power and capabilities of computing increases, Artificial Intelligence solutions takes a greater role to perform and execute various processes…
The students will understand and be able to apply their knowledge about intelligent software algorithms.
The goal of the course is to introduce the students to the basics of data analysis and machine learning methods as an additional tool for finding…
This study course covers the theoretical and practical principles of high performance computing that are implemented using graphics processing…
As a result of this study course the student acquires basic knowledge about multiphysical modeling, basic steps of problem-solving, verification and…
After the completion of this course, the students will have the knowledge of the architectures with high performance. They will understand the…
Architecture and elements of artificial neural networks. Perceptron. Adaptation algorithms. Development of NN technology. Learning methods for single…
This course is intended to provide an overview of modern applications of machine learning and develop practical skills in using deep neural networks…
