Course Project in Applied Analytics
Course: Data science
Structural unit: Faculty of information Technology
            Title
        
        
            Course Project in Applied Analytics
        
    
            Code
        
        
            ВК2.8
        
    
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2024/2025
        
    
            Semester/trimester when the component is delivered
        
        
            7 Semester
        
    
            Number of ECTS credits allocated
        
        
            2
        
    
            Learning outcomes
        
        
            Аpply knowledge of the basic forms and laws of abstract and logical thinking, the basics of the methodology of scientific knowledge, the forms and methods of extracting, analyzing, processing and synthesizing information in the subject area of computer science.
Apply methods and algorithms of computational intelligence and intelligent data analysis in tasks of classification, prediction, cluster analysis, and searching for associative rules using software tools to support multidimensional data analysis based on technologies such as Data Mining, Text Mining, and Web Mining.
To know and apply methods of intelligent data analysis and artificial intelligence, including techniques from computational linguistics, deep learning, neural network technologies, and computer vision.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            Missing.
        
    
            Course content
        
        
            During the course of completing their coursework, students acquire skills and competencies in using scientific, normative, and reference literature, analyzing existing approaches, methodologies, and methods for solving key tasks related to their chosen problem, and presenting their findings in a structured and content-rich manner that meets the requirements for writing a coursework.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. State Standard of Ukraine 3008-95. Documentation. Reports in the field of science and technology. Formatting rules. - Kyiv: State Statistics Committee of Ukraine, 1995. - 28 p.
2. State Standard of Ukraine 2941-94. Information processing systems. System development. Terms and definitions. - Kyiv: State Standard of Ukraine, 1995. - 20 p.
        
    
            Planned learning activities and teaching methods
        
        
            Consultations with the supervisor, Independent work.
        
    
            Assessment methods and criteria
        
        
            Continuous assessment, Defense.
        
    
            Language of instruction
        
        
            Ukrainian
        
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