Digital signal processing and pattern recognition

Course: Software Engineering

Structural unit: Faculty of information Technology

Title
Digital signal processing and pattern recognition
Code
ВБ 1.3.
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
5
Learning outcomes
PR-21. To be able to develop an adaptive component of an intelligent user interface, understand the principles of effective construction and management of the corporate infrastructure of operating systems, including real-time operating systems; know the mathematical foundations of image recognition and be able to apply methods of decomposition, image normalization and image classification; know the principles, methods and technologies of application software development for distributed information systems, including ERP systems; to be able to develop and solve actual security issues of software engineering.
Form of study
Full-time form
Prerequisites and co-requisites
To know the theoretical foundations obtained by studying the normative disciplines "Algorithms and data structures", "Fundamentals of programming", "Computational methods" and "Object-oriented programing"
Course content
The discipline provides theoretical knowledge and practical skills and abilities sufficient for the successful performance of professional duties in the field of information technologies and prepares students for further employment in the field of processing analog and discrete-digital signals of various nature as well as pattern recognition. The program is designed to help specialists solve complex practical tasks of recognition, modulation and manipulation, filtering, decoding and verification of digital signals of various nature.
Recommended or required reading and other learning resources/tools
1. Emmanuel C.Ifeachor, Barry W.Jervis Digital Signal Processing: A Practical Approach. Second Edition. – Prentice Hall., 992p. 2. Lyons, Richard G. Understanding Digital Signal Processing. 3rd. ed. – Person Education, Inc., 2011., 931p. 3. Dr. James Hahn. Introduction to Digital Signal Processing. – Washington University, St. Louis, 2011. 90p. 4. Li Tan, Jean Jiang. Digital Signal Processing. 2nd ed. – Elsevier. 2013. 893p. 5. Fundamentals of Digital Signal Processing [Електронний ресурс] – Режим доступу до ресурсу: https://www.softwaretestinghelp.com/digital-signal-processing-tutorial/ #Fundamentals_Of_Digital_Signal_Processing
Planned learning activities and teaching methods
Lectures, laboratory activities, individual work
Assessment methods and criteria
Control of students' knowledge is carried out according to the modular rating system. The results of students' educational activities are evaluated on a 100-point scale. Work in the semester is divided into two content modules (30+30). Mandatory for the exam is the student's defense of the laboratory works provided for in the work program of the academic discipline, and the passing of two modular control papers. The final control (exam) is conducted in the form of a written work - 40 points
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline