Course: Partial Differential Equations

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Course title Partial Differential Equations
Course code KMA/PDR
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study 1
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Dhara Raj Narayan, Ph.D.
  • Vodák Rostislav, doc. RNDr. Ph.D.
Course content
1. The Physical Origins of Partial Differential Equations, diffusion equations, wave equations, conservation laws. 2. Function spaces and their relation to PDEs. 3. A classical and modern approach do PDEs. 4. Basic properties (existence, uniqueness and regularity of a solution). 5. Numerical methods for PDEs.

Learning activities and teaching methods
unspecified
Learning outcomes
Understanding the classical and modern approach to PDEs.
Application Application of differential and integral calculus of multivariate functions in the theory of PDEs.
Prerequisites
Understanding the mathematical tools of differential and integral calculus of multivariable functions.

Assessment methods and criteria
unspecified
Credit: active participation, the student has to solve given examples. Exam: the student has to understand the subject.
Recommended literature
  • E. Vitásek. (1994). Základy teorie numerických metod pro řešení diferenciálních rovnic. Academia, Praha.
  • L. C. Evans. (2010). Partial differential equations. American Mathematical Society.
  • N. S. Nita, M. Y. Jani. (2021). Partial Differential Equations: An Introduction. CRC press.
  • S. Salsa. (2008). Partial differential equations in action: From modelling to theory. Springer.
  • W. M. Lai, E. Krempl, D. Rubin. (2014). Introduction to continuum mechanics. Butterworth-Heinemann.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): General Physics and Mathematical Physics (2019) Category: Physics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics (2023) Category: Mathematics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Mathematics (2023) Category: Mathematics courses 1 Recommended year of study:1, Recommended semester: Winter