Mathematics of artificial intelligence
Faculty of Mechanics and Mathematics of Taras Shevchenko National University of Kyiv
Name
Mathematics of artificial intelligence
Program code
КП 2121.2
Qualification awarded
Program Subject Area E7 Mathematics
Length of programme
4 years
Number of credits
120
level of qualification according to the National Qualification Framework and the European Qualifications Framework
6
Qualification level
First (Bachelor)
Discipline
Mathematics and statistics
Speciality
KnowledgeField EN
Specific admission requirements
Complete general secondary education. On a competitive basis
Specific arrangements for recognition of prior learning
Diploma of complete general secondary education
Qualification requirements and regulations, including graduation requirements
Programme learning outcomes
Form of study
Full-time form
Examination regulations and grading scale
The overall learning approach is task-oriented. It encompasses lectures, seminars, practical sessions, group laboratory work, independent study using textbooks and lecture notes, and consultations with instructors. Students are required to complete course projects, which are then presented and discussed with the participation of instructors and fellow students.
Assessment methods include written and oral examinations, pass/fail tests, graded tests, ongoing assessment, the defense of course projects, and a final comprehensive examination.
Оbligatory or optional mobility windows (if applicable)
-
Work placement
-
Work-based learning
-
Director of the course
Anatoly
Petrovych
Petravchuk
Department of Algebra and Mathematical Logic
Faculty of Mechanics and Mathematics of Taras Shevchenko National University of Kyiv
Faculty of Mechanics and Mathematics of Taras Shevchenko National University of Kyiv
Occupational profiles of graduates
omprehensive education in the field of Mathematics, incorporating modern computational methods for conducting mathematical research and applying its results.
Keywords: computational mathematics; artificial intelligence; mathematical analysis, geometry, algebra and number theory, probability theory, mathematical statistics, theory of computation, algorithm optimization, numerical methods, discrete mathematics, information theory, graph theory, machine learning theory, computational complexity.
Access to further studies
Opportunity to pursue education at the second (master’s) level and to acquire additional qualifications within the postgraduate education system
Subjects
As part of the curriculum, students study the following disciplines
Admission to university studies
Code: ОК.01,
Concrete mathematics
Code: ОК.02,
Analytic Geometry
Code: ОК.03,
Programming
Code: ОК.04,
Foreign Language
Code: ОК.05,
Discrete mathematics
Code: ОК.06,
Linear Algebra
Code: ОК.07,
Object-oriented programming
Code: ОК.08,
Computer Practicum
Code: ОК.09,
Algebra and Number Theory
Code: ОК.10,
Multivariate Analysis 1
Code: ОК.11,
C++ programming language
Code: ОК.12,
Philosophy
Code: ОК.13,
Algorithms and Data Structures
Code: ОК.14,
Mathematical logic
Code: ОК.15,
Differential Equations 1
Code: ОК.16,
Probability Theory 1
Code: ОК.17,
Scientific Image of the World
Code: ОК.18,
Ukrainian and Foreign Culture
Code: ОК.19,
Mathematical Statistics
Code: ОК.20,
Differential geometry
Code: ОК.21,
Fundamentals of Ecology
Code: ОК.22,
Information and Coding Theory
Code: ОК.23,
Comprehensive Analysis
Code: ОК.24,
Practical Training (with interruption of studies)
Code: ОК.25,
Functional Analysis
Code: ОК.26,
Equations of Mathematical Physics
Code: ОК.27,
Selected Topics in Labor Law and the Fundamentals of Entrepreneurial Activity
Code: ОК.28,
Socio-Political Studies
Code: ОК.29,
Математичний аналіз 1
Code: ОК.30,
Mathematical analysis 2
Code: ОК.31,
Mathematical calculations in Python
Code: ОК.32,
Theory of calculations
Code: ОК.33,
DVS.01 List No. 1
Code: ДВС.01,
DVS.02 List No. 2
Code: ДВС.02,
Computer graphics
Code: ДВС.02.01,
VS.03 List No. 3 (course project)
Code: ДВС.03,
DVS.04 List No. 4 (student chooses 1 discipline)
Code: ДВС.04,
48 ДВС.05 List No. 5 (the student chooses 4 disciplines)
Code: ДВС.05,
DVS.05.01 Project management
Code: ДВС.05.01,
DVS.06 List No. 6 (student selects 1 course)
Code: ДВС.06,
DVS.07 List No. 7 (student selects 4 disciplines)
Code: ДВС.07,
DVS.07.01 Software Product Development
Code: ДВС.07.01,
DVS.08 List No. 8 (Course Project) (student selects 1 discipline)
Code: ДВС.08,
DVS.09 List No. 9 (student chooses 1 discipline)
Code: ДВС.09,
DVS.09.01 Basic General Military Training (Theoretical Part)
Code: ДВС.09.01,
ДВС.09.02 Actions in emergency situations
Code: ДВС.09.02 ,