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
        
        
            2024/2025
        
    
            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
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The following departments are involved in teaching the above discipline