Bachelor
2024/2025
Differential Equations
Type:
Compulsory course (Data Science and Business Analytics)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Course Syllabus
Abstract
“Differential Equations” is a spring semester course for second-year students studying at the Faculty of Computer Sciences. It is designed to suit the requirements of the Faculty of Computer Sciences curriculum as well as UoL where DE is a part of the mathematical curriculum. Besides the course on differential equations is included as a topic in “Mathematical methods for economists” external exam. This course is an important part of the bachelor stage in education of the future applied mathematicians and computer scientists. It has to give students skills for implementation of mathematical knowledge and expertise. Its prerequisite is the knowledge of the single variable calculus.
Learning Objectives
- The knowledge given during this course will allow the students to progress with further complicated topics such as optimal control theory and like.
- This course will give the students skills for the implementation of mathematical knowledge and expertise.
Expected Learning Outcomes
- Students will be able to solve linear equations with the constant coefficients as well as the systems of such equations.
- Students will develop an understanding of basic concepts of the differential and difference equations.
- Students will develop the ability to apply the knowledge of the differential and difference equations which will enable them to analyze dynamics of the processes.
- Students will develop the ability to apply the knowledge of the differential and difference equations which will enable them to analyze dynamics of the processes.
Course Contents
- Dynamics in economics and natural sciences. Simple first-order equations. Separable equations. Concept of stability of the solution of ODE. Exact equations. General solution as a sum of a general solution of homogeneous equation and a particular solution of a nonhomogeneous equation. Bernoulli equation. Fundamental theorem on existence and uniqueness.
- Second-order linear differential equations with constant coefficients.
- Refresher on complex numbers and operations on them. Representation of a number. De Moivre and Euler formulas.
- Higher-order linear differential equation with constant coefficients. Characteristic equation. Method of undetermined coefficients for the search of a particular solution. Stability of solutions. Routh theorem (without proof). Systems of DE (linear equations case). Variation of parameters method. Solving linear equations with the variable coefficients.
- Discrete time economic systems. Difference equations. Method of solving first-order equations. Convergence and oscillations of a solution. Cobweb model. Partial equilibrium model with the inventory.
- Second-order difference equations.
- Higher-order difference equations. Characteristic equation. Undetermined coefficients method. Conditions for the stability of solutions. Markov processes.
- Stability of linear systems via eigenvalues. Stability of nonlinear systems.
- Phase portraits of planar systems.
- First integrals.
- Liapunov functions.
- Qualitative theory of differential equations. Dynamical Systems.
Bibliography
Recommended Core Bibliography
- Mathematics for economists, Simon, C. P., 1994
Recommended Additional Bibliography
- Курс дифференциальных уравнений и вариационного исчисления : учеб. пособие для вузов, Романко, В. К., 2001
- Сборник задач по дифференциальным уравнениям и вариационному исчислению, Романко, В. К., 2002