SYLLABUS

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COURSE TITLE

FACULTY/INSTITUTE

COURSE CODE

DEGREE PROGRAMME

FIELD OF STUDY

COMPUTER SCIENCE

COURSE FORMAT

YEAR AND SEMESTER

NAME OF THE TEACHER

1

SYLLABUS

NUMERICAL METHODS

Faculty of Mathematics and Natural Sciences /

Institute of Computer Science

DEGREE LEVEL

YEAR 2, SEMESTER I

FORMA STUDIÓW/STUDY

MODE

FULL-TIME STUDIES

Piotr Romanowski, PhD, Eng

COURSE OBJECTIVES

1.

Error – total derivative.

2.

Numerical solution of polynomial equations.

3.

Lagrangian interpolation and least-squares approximation.

4.

Numerical differentiation and integration.

5.

Solution of Nonlinear Equations f(x) = 0.

6.

Solution of Linear Systems AX = B.

Gaussian Elimination.

 Iterative Methods for Linear Systems.

7.

Solution of Differential Equations.

 Eulers Method.

 Taylor series.

 Runge-Kutta Methods.

8.

Finite differences method.

.

PREREQUISITES

LEARNING OUTCOMES

Basics of procedural programming (Java/C), basic Excel.

KNOWLEDGE:

A student receives practical knowledge and skills from using of the chosen numerical methods.

SKILLS:

FINAL COURSE OUTPUT - SOCIAL COMPETENCES

COURSE ORGANISATION –LEARNING FORMAT AND NUMBER OF HOURS

Laboratory – 30 hours

Participation in consultation – 10 hours

Preparing for class – 35 hours

COURSE DESCRIPTION

Most important algorithms for the numerical solutions of applied mathematics problems.

The tools: Java language (or C), Matlab and Excel with Solver programs are used.

METHODS OF INSTRUCTION Laboratory and

REQUIREMENTS AND ASSESSMENTS consultation

The examination of the knowledge of numerical method algorithms.

GRADING SYSTEM The examination of the course is based on the project prepared implementing the selected solution to the

TOTAL STUDENT WORKLOAD

NEEDED TO ACHIEVE EXPECTED

LEARNING OUTCOMES EXPRESSED

IN TIME AND ECTS CREDIT POINTS

LANGUAGE OF INSTRUCTION

INTERNSHIP

MATERIALS numerical method problems.

Laboratory – 30 hours

Participation in consultation – 10 hours

Preparing for class – 35 hours

ECTS - 4

ENGLISH

PRIMARY OR REQUIRED BOOKS/READINGS:

Numerical Mathematics & Computing (Edition 5) , by

Ward Cheney and David Kincaid, Brooks/Cole, 2004.

(ISBN 0-534-89993-7)

WEB PAGES

SUPPLEMENTAL OR OPTIONAL BOOKS/READINGS:

Student Solutions Manual for Numerical Mathematics

& Computing (Edition 5) , by Ward Cheney and David

Kincaid, Brooks/Cole, 2004. (ISBN 0-534-39004-8)

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