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 course is devoted to the construction of artificial neural networks and includes the following sections: Biological neuron; Artificial neuron;…
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…
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…
