WIW38030 – Numerical Analysis

Module
Numerical Analysis
Numerical Analysis
Module number
WIW38030
Version: 1
Faculty
Business Administration
Level
Master
Duration
1 Semester
Semester
Summer and Winter semester
Module supervisor

Prof. Dr. Matthias Richter
M.Richter(at)fh-zwickau.de
Lecturer(s)

Lecturer of the International Black Sea University (IBSU)

Course language(s)

English
in "Numerical Analysis"
ECTS credits

5.00 credits

Workload

150 hours

Courses

3.00 SCH (1.00 SCH Vorlesung | 1.00 SCH Seminar | 1.00 SCH Seminar)
Self-study time

105.00 hours
63.00 hours Self-study - Numerical Analysis
31.50 hours Projektarbeit(en) - Numerical Analysis
10.50 hours Übungen im Labor - Numerical Analysis
Pre-examination(s)

Hausaufgaben
in "Numerical Analysis"
Examination(s)

schriftliche Prüfungsleistung
Module examination | Examination time: 90 min | Weighting: 100% | wird in englischer Sprache abgenommen
in "Numerical Analysis"
Media type
No information
Instruction content/structure
  • Introduction to the Concepts and basic notations of Numerical Analysis
  • A Survey of Simple Methods and Tools
  • Linear Interpolation
  • Linear Interpolation
  • Nonlinear Equations
  • Methods for Ordinary Differential Equation
  • Fourier Analysis
  • Spectral Interpolation, Differentiation, Quadrature
Qualification objectives

The course provides introduction to the main concepts and theories of Numerical Analysis. The goal of the course is to teach an abstract and logical reasoning by studying main concepts of Numerical Analysis. We focus on applied aspects of the theory. The students will practice to solve problems with numerical methods.
Special admission requirements

basic knowledge of Calculus and linear algebra, Principles of Programming (in Cor Python)
Recommended prerequisites
No information
Continuation options
No information
Literature
  • James F. Epperson. An Introduction to Numerical Methods and Analysis, 3rd Edition.2021
  • F. B. Hildebrand. Introduction to numerical analysis, Second Edition, Dover PublicationsInc., 2013
  • Bruce R. Donald,Deepak Kapur,Joseph L. Mundy.Symbolic and Numerical Computationfor Artificial Intelligence.Academic Press, 1992
Notes

This subject will be studied at IBSU, Georgia Tbilissi as an elective one in the 2nd and 3rd semester.

Lecturer: Prof. Dr. Khatuna Elbakidze

Prerequisite(s) for examination admission:

At least 50% of homework exercises solved
Assignment to curriculum
No information
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