Discretization Methods
People
Course director
Description
The course examines the development and analysis of selected discretization methods for the solution of time-dependent partial differential equations. Topics may vary from year to year. The course will be offered online to allow double-degree Master students to enroll.
Objectives
At the end of the course students: - will be familiar with theory and implementation of several types of discretization methods, - be able plan and write computer code.
Teaching mode
In presence
Learning methods
The course will use lectures, homework and reading assignments.
Examination information
The course will be evaluated through homework and projects.
Education
- Master of Science in Computational Science, Lecture, Elective, 1st year
- Master of Science in Computational Science, Lecture, Elective, 2nd year
- PhD programme of the Faculty of Informatics, Lecture, Elective, 1st year (4 ECTS)
