Information theory

Course: Information Systems

Structural unit: Faculty of information Technology

Title
Information theory
Code
ОК 6
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
3
Learning outcomes
Understanding the specifics of applying methods for determining the characteristics and properties of information, as well as its analysis, taking into account the subject area of development or research. Proficiency in employing principles, techniques, and tools for obtaining and analyzing information during the development or research of a subject area, based on the identification and evaluation of information from various sources. The capability to effectively formulate a communication strategy through precise argumentation, independently solving professional tasks, and taking responsibility for the obtained solutions.
Form of study
Full-time form
Prerequisites and co-requisites
The discipline builds upon the competencies gained by students during their successful completion of the following courses: "Modern Database Systems", "Algorithms and Data Structures", "Data Analysis and Machine Learning".
Course content
Acquisition of fundamental knowledge regarding current characteristics and properties of information, as well as the goals and tasks associated with organizing data transmission channels within information systems. The objective of the "Information Theory" course is to foster the development of students' theoretical and practical understanding of information theory, familiarize them with key concepts such as entropy and quantitative measures of information, and explore the foundational theorems of information theory pertaining to discrete communication channels utilized in modern information systems.
Recommended or required reading and other learning resources/tools
James V Stone. Information Theory: A Tutorial Introduction. Publisher ‏: Jim Stone, 2016. 260 c. James V Stone. Information Theory: A Tutorial Introduction. Publisher ‏: Jim Stone, 2016. 260 c. Robert B. Ash. Information theory. Dover Publications, 2012. 589 c.Сорока Л.С. Основи теорі Leonard Eugene Dickson. History of the Theory of Numbers, Volume II: Diophantine Analysis. Dover Publications, 2013. 1707 c. Leon Brillouin. Science and Information Theory: Second Edition. Dover Publications, 2013. 682 c.
Planned learning activities and teaching methods
Lectures, laboratory classes, individual work
Assessment methods and criteria
Students are allowed to take the exam if they successfully complete the required tests and all laboratory work throughout the semester, which should total at least the recommended minimum of 36 points (60% of the highest possible score a student can achieve during the semester). To receive a positive final grade in a discipline, students must obtain at least 60% of the maximum possible points, which amounts to 60 points. Students' academic performance is assessed on a 100-point scale. Coursework during the semester comprises two content modules, followed by final tests at the end of each module. The maximum possible number of points for work during the semester is 60. The final evaluation is conducted in the form of a written exam. The maximum possible number of points for the exam is 40.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

DEPARTMENT OF APPLIED INFORMATION SYSTEMS
Faculty of information Technology

Departments

The following departments are involved in teaching the above discipline

DEPARTMENT OF APPLIED INFORMATION SYSTEMS
Faculty of information Technology