Courses
- Parallel Computation (10324) Course summary:
- Big Data Analytics (10351) Course summary:
- Cloud Technologies and Big Data (65027) Course summary:
Abstract:
Parallel Computers Architectures,
Design and Programming of parallel programs, MPI,
OpenMP, CUDA, General purpose programming with GPU,
Parallel Algorithms and Applications.Abstract:
Life Cycle of development of Data Intensive Applications in KAFKA and SPARK EnvironmentAbstract:
The course presents a review of various approaches
to data and distributed computing approaches
and open source tools for their implementation.
The emphasis will be on selecting and integrating technologies
and tools according to specific requirements. At the end of the
course, the students will be asked to perform a task that will include the characterization
and implementation of a technological system or
infrastructure according to the requirements of a specific application.