Algorithm Theory and Mathematical Logic
Course: System Analysis
Structural unit: Faculty of Computer Science and Cybernetics
Title
Algorithm Theory and Mathematical Logic
Code
ОК.29
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
4
Learning outcomes
LO2. Be able to recognize standard schemes for solving combinatorial and logical problems formulated in natural language; apply classical algorithms for checking the properties and classification of objects, sets, relations, graphs, groups, rings, lattices, Boolean functions, etc.
LO15. Understand Ukrainian and foreign languages at a level sufficient for processing professional informational and literary sources, professional oral and written
communication, writing texts on professional topics.
Form of study
Distance form
Prerequisites and co-requisites
Know: basic concepts of discrete mathematics: basics of set theory, relations theory, Boolean function theory.
Be able to: establish basic set-theoretic relations, use the apparatus of Boolean function theory.
Course content
The goal of the discipline is to acquire basic knowledge of the basics of mathematical logic and the theory of algorithms, including the study of semantic models and formal languages of logic, the study of formal-axiomatic logical systems and proof search systems, the study of formal models of algorithms and algorithmically computable functions, issues of computability, decidability and insolvability of mass problems.
The educational discipline "Theory of Algorithms and Mathematical Logic" is a component of the educational and professional training program for specialists at the first (bachelor) level of higher education in the field of knowledge No. 12 "Information Technologies" from the specialty No. 124 "System Analysis" of the educational and professional program "System Analysis".
This discipline is a mandatory study under the "System Analysis" program.
It is taught in the 4th semester of the 2nd course in the amount of 120 hours. (4 ECTS credits), in particular:
lectures – 30 hours, practical classes – 30 hours, independent work – 60 hours. The course includes 4 tests. The discipline ends with a credit in the 4th semester.
Recommended or required reading and other learning resources/tools
1. Nikitchenko M.S., Shkilniak S.S. Mathematical logic and theory of algorithms. - K., 2008.
2. Trokhimchuk R.M., Nikitchenko M.S. Discrete mathematics in examples and problems. Kyiv. nat. Univ. Taras Shevchenko. - Kyiv: Kyiv University, 2017. - 248 p.
3. Zubenko V.V., Shkilniak S.S. Fundamentals of mathematical logic: a textbook. K .: NUBiP of Ukraine, 2020.– 102 p.
Planned learning activities and teaching methods
Lecture, practical classes, independent work.
Tests 1 – 4, current evaluation.
Assessment methods and criteria
Semester assessment:
1. Test 1: LO 1.1, LO 2.2 – 20 points / 12 points.
2. Test 2: LO 1.1, LO 2.1 – 20 points / 12 points.
3. Test 3: LO 1.2, LO 1.3, LO 2.2 – 20 points / 12 points.
4. Test 4 (questions from the lecture course): LO 1.1 - LO 1.3 - 20 points / 12 points.
5. Students' work in practical classes (current evaluation): РН2.2, РН3.1 – 20 points/ 12 points.
Final assessment is in the form of credit. It is awarded based on the results of students' work throughout the semester and does not provide for additional assessment measures for successful students.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Mykola
S.
Nikitchenko
Theory and Technology of Programming
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Vitalii
V.
Zubenko
Theory and Technology of Programming
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
Theory and Technology of Programming
Faculty of Computer Science and Cybernetics
Theory and Technology of Programming
Faculty of Computer Science and Cybernetics