Type of studies | Title |
---|---|
Doctoral Academic Studies | Computing and Control Engineering (Year: 2, Semester: Winter) |
Category | Scientific-professional |
Scientific or art field | Applied Computer Science and Informatics |
ECTS | 10 |
Acquiring advanced knowledge in the area of high performance computing and its applications in data science.
Enabling students to analyse existing approaches and solutions in the area of high performance computing, as well as introducing them to various applications of the state-of-the-art high performance computing methods for solving problems in data science.
Modern approaches and methods in high performance computing. Modern heterogeneous processors and their programming. Performing general purpose algorithms on graphics processing units (GPGPU).Modern approaches and methods for storage and analysis of large datasets using high performance computer systems. Applications of high performance computing in data science – generating knowledge, visualization, simulation. Independent scientific research study in the field of high performance computing. Analysis and active use of primary scientific resources.
Forms of teaching activities are: lectures, research work, project development, and consultations. Throughout the whole teaching process, students are encouraged to perform intensive communication, critical thinking, independent research work, and active participation in teaching activities. Students are obliged to do the project alone. Writing a research paper is recommended and encouraged.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2013 | English | |||
2015 | English | |||
2014 | English | |||
2015 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Oral part of the exam | No | Yes | 50.00 |
Project | Yes | Yes | 50.00 |
Associate Professor
Associate Professor
Associate Professor
Associate Professor
Associate Professor
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