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
2023/2024
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
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline