Master
2026/2027
Some Topics of Calculus, Differential Equations and Nonlinear Dynamics
Type:
Elective course (Cognitive Sciences and Technologies: From Neuron to Cognition)
Delivered by:
Institute for Cognitive Neuroscience
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
40
Course Syllabus
Abstract
The bridging course “Advanced Calculus” has an aim to train the master students to be ready for the courses devoted to Bayesian Statistics, Qualitative and Quantitative Research Methods in Psychology, Computational Neuroscience, Digital Signal Processing and some others. In the framework of this course the students study the real- and complex-valued functions, theory of derivatives and integrals, differential equations and dynamical systems, as well as Taylor, Fourier and Laplace series.
Learning Objectives
- • Gain understanding of the concept of functions, continuous functions and different kind of discontinuous functions
- • Gain skills in evaluating derivatives and integrals.
- • Gain skills in expansion of a function into a Taylor series and finding its convergence interval.
- • Gain skills in solving of homogeneous and nonhomogeneous linear differential equations.
- • Gain understanding of Fourier series, Fourier transforms and their applications.
- • Gain understanding of a Laplace transform and its applications for solving of differential equations
- • Gain understanding of dynamical systems analysis.
Expected Learning Outcomes
- Know basic facts about Fourier series, Fourier transforms and their applications
- Know basic methods for solving of linear differential equations
- Know main operations, rules and properties of infinite series, functional series as well as Taylor series
- Know man rules and properties of derivatives and integrals
- • Know main operations, rules and properties of sets, real numbers, functions, continued functionsю
Course Contents
- Special elementary functions.
- Infinite and Functional series.
- Derivatives and antiderivatives. Definite and improper integrals.
- Fourier Analysis.
- Linear homogenous and non-homogeneous differential equations.
Bibliography
Recommended Core Bibliography
- Anton, H., Bivens, I. C., & Davis, S. (2016). Calculus (Vol. 11th ed). New York: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1639210
- Gorain, G. C. (2014). Introductory Course on Differential Equations. New Delhi: Alpha Science Internation Limited. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1878058