Applications of Renewal Theory
Course: Applied Mathematics
Structural unit: Faculty of Computer Science and Cybernetics
Title
Applications of Renewal Theory
Code
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
7 Semester
Number of ECTS credits allocated
3
Learning outcomes
PLO21.3. Understand the fundamental areas of mathematics and computer science, to the extent necessary for learning mathematical disciplines, applied disciplines and using their methods in a chosen profession.
PLO22.3. Understand the main areas of mathematical logic, theory of algorithms and computational theory, programming theory, probability theory and mathematical statistics.
PLO23.3. Be able to use professional knowledge, skills and abilities in the field of fundamental sections of mathematics and computer science for research of real processes of different nature.
PLO24.3. Be able to independently analyze the relevant subject area, be able to develop mathematical and structural algorithmic models.
Form of study
Prerequisites and co-requisites
To successfully learn the discipline “Applications of Renewal Theory” the student should satisfy the following requirements.
They know (a) fundamentals of mathematical methods for construction, verification and investigation of qualitative characteristics of deterministic and stochastic mathematical models; (b) classical methods of Calculus and Probability Theory.
They can (a) investigate qualitative characteristics of available mathematical models; (b) apply classical methods for solving applied problems in deterministic and stochastic models.
They should be able to (a) apply classical methods of Calculus and Probability Theory; (b) seek information in open sources and properly analyze it.
Course content
The course “Applications of Renewal Theory” is aimed at applying results of Renewal Theory, learned by the student when attending the course “Advanced course of Analysis and Probability Theory. Block 1: Elements of Renewal Theory”, to renewal reward processes, renewal equations, regenerative processes, random walks with barrier, perturbed random walks and the Bernoulli sieve. The present course is a natural continuation of the disciplines “Calculus”, “Probability Theory” and “Advanced course of Analysis and Probability Theory. Block 1: Elements of Renewal Theory”.
Recommended or required reading and other learning resources/tools
1. Iksanov O.M. Elementy teoriyi vidnovlennya ta yiyi zastosuvannya: Elektronnyy navchalʹnyy posibnyk.-2022.-121 s. http://do.unicyb.kiev.ua/index.php/uk/2011-01-03-10-24-53/11-2011-01-03-10-44-09
2.Iksanov A. Renewal theory for perturbed random walks and similar processes. Cham: Birkhauser, 2016.-250 p.
3. Mitov K.V., Omey E. Renewal processes. Cham: Springer, 2014. -122 p.
4.Gut A. Stopped random walks: Limit theorems and applications. 2nd edition. New York: Springer-Verlag, 2009.—263 p.
Planned learning activities and teaching methods
Lectures, consultations, test works, independent work.
Assessment methods and criteria
Intermediate assessment:
The maximal number of available points is 60.
Test work no. 1: 30/18 points.
Test work no. 2: 30/18 points.
Final assessment (in the form of exam):
The maximal number of available points is 40.
The form of exam: writing.
The types of assignments are 4 writing assignments (2 theoretical and 2 practical).
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Alexander
M.
Iksanov
Operations Research
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
Operations Research
Faculty of Computer Science and Cybernetics