Parallel algorithms for the analysis and synthesis of data

Entry requirements: Basic knowledge of programming, algorithms and data structures. Also would be useful to know parallel and distributed computing.

Credits: 6

Semester: 2

Course: Core

Language of the course: English

Lecturer

Katerina Bolgova

Objectives

Students will learn basic approaches and effective algorithms for data analyzing.

Contents

The course consists of lectures about algorithms and approaches for data analysing. At a practical part, students will implement described techniques and perform assigned tasks.

Format

Lectures and laboratory works.

Assessment

Attendance is mandatory. Students cannot miss more than one class. Final assessment is carried out in the form of examination. The necessary condition to be admitted to the exam is a successful completion of all practical assignments.