UIMOIBP034 Numerical Methods in Natural Sciences

Faculty of Philosophy and Science in Opava
Winter 2022
Extent and Intensity
0/2/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Adam Hofer (seminar tutor)
doc. RNDr. Gabriel Török, Ph.D. (seminar tutor)
Guaranteed by
doc. RNDr. Gabriel Török, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Timetable of Seminar Groups
UIMOIBP034/A: Mon 14:45–16:20 B2, A. Hofer
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course enables students to get acquainted with practical applications of numerical methods in natural sciences. It focuses on solving specific tasks from the areas listed below. Individual tasks are determined in accordance with the thematic focus of diploma / seminar theses of students in relation to real problems processed by the workplace in the field of natural sciences.
Learning outcomes
After completing the course, students will be able to:
- analyze simple tasks in the field of natural sciences
- describe these problems by mathematical apparatus
- solve these tasks
Syllabus
  • 1. Derivation and integration in numerical problems
  • 2. Linear and nonlinear equations, finding roots
  • 3. Functions and their courses, extremes, minimization and maximization
  • 4. Data interpolation and extrapolation
  • 5. Data modeling, least squares method and other regression methods, linear and nonlinear functions
  • 6. Statistical description of data, distribution function
  • 7. Differential equations
Literature
    required literature
  • BARTSCH, Hans-Jochen. Matematické vzorce. Vyd. 4., v nakl. Academia 1. Praha: Academia, 2006. ISBN 80-200-1448-9. info
    recommended literature
  • • HASÍK, Karel. Numerické metody. Skripta. Slezská univerzita v Opavě. Skripta jsou průběžně aktualizována
  • GAULD, Alan. Learn to program using Python: a tutorial for hobbyists, self-starters, and all who want to learn the art of computer programming. Reading, MA: Addison-Wesley, 2001. ISBN 978-0201709384. Doprovodné www: http://jaksenaucitprogramovat.py.cz/
  • PRESS, William H. Numerical recipes: the art of scientific computing. 3rd ed. New York: Cambridge University Press, 2007. ISBN 978-0-521-88068-8. info
  • I. Horová. Numerické metody. Masarykova univerzita v Brně, Brno, 1999. ISBN 80-210-2202-7. info
  • VITÁSEK, E. Numerické metody. SNTL, Praha, 1987. info
Teaching methods
Exercises
Assessment methods
The condition for obtaining the credit is the elaboration of brief seminar work and the presentation of solved tasks within the seminar
Language of instruction
Czech
The course is also listed under the following terms Winter 2020, Winter 2021, Winter 2023, Winter 2024.
  • Enrolment Statistics (Winter 2022, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2022/UIMOIBP034