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…
