Supplementary sections of operations research and probability theory

Course: Applied Mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Supplementary sections of operations research and probability theory
Code
ДВС.3.01
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
6 Semester
Number of ECTS credits allocated
5
Learning outcomes
LO08. Combine mathematical and computer modeling techniques with informal expert analysis procedures to find optimal solutions. 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
Full-time form
Prerequisites and co-requisites
To successfully learn the discipline “Supplementary sections of operations research and probability 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, Algebra 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
Types of paradoxes: logical, mathematical (probabilistic, statistical, related to infinity, geometrical, topological, physical, chemical, philosophical, economical and others. Birthday problem, 100 prisoners problem, three prisoners problem, two envelopes problem, Monty Hall problem, intransitive dice, Berkson's paradox, Bertrand paradox (probability), Bertrand's box paradox, Boy or Girl paradox, Parrondo's paradox, Simpson's paradox, Sleeping Beauty problem, St. Petersburg paradox. Methods for solving problems of integer linear programming. The method of branches and borders. The task of the traveling salesman problem. Examples, Applications. Exact methods of solving the traveling salesman problem. Approximate methods for solving the traveling salesman problem. Nonlinear programming problems. Gradient methods. The method of possible directions for solving problems of convex programming.
Recommended or required reading and other learning resources/tools
M1. 1. Gabor J. Szekely. Paradoxes in Probability Theory and Mathematical Statistics. Akademiai Kiado, 1986. 250p. 2. https://uk.wikisko.ru/wiki/List_of_paradoxes 3. Jordan M. Stoyanov Counterexamples in Probability: Third Edition. 2013, 352 p. 4. Romano J. P.; Siegel A. F. Counterexamples in probability and statistics. 1986 5.https://uk.wikipedia.org/wiki/%D0%A1%D0%BF%D0%B8%D1%81%D0%BE%D0%BA_%D0%BF%D0%B0%D1%80%D0%B0%D0%B4%D0%BE%D0%BA%D1%81%D1%96%D0%B2 M2. 1. Aho, A. Data structures and algorithms / A. Aho, J. Hopcroft, D. Ullman. - М .:Williams Publishing House, 2001. - 384 p. 2. 2. Gary, M. Computers and difficult problems / M. Gary, D.Johnson. - M .: Mir, 1982. - 419 p. 3. Goldschmidt O., Laugier A., Olinick E.V. SONET/SDH ring assignment with capacity constraints // Discrete Applied Mathematics, 2003. Vol. 129. P. 99–128 4. The traveling salesman problem and its variations / G. Gutin, A. Punnen, (eds.) // Combinatorial optimization. – Nowell: Kluwer, 2002.
Planned learning activities and teaching methods
Lectures, seminars, consultations, test works, independent work.
Assessment methods and criteria
Intermediate assesement: The maximal number of available points is 60. Personalized take-home assignment for submission 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 2 writing assignments
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Oleg K. Zakusylo
Operations Research
Faculty of Computer Science and Cybernetics
Roman Ya. Yakymiv
Operations Research
Faculty of Computer Science and Cybernetics