*Conducted in terms:*2022/23_Z, 2022/23_L, 2023/24_L

*ECTS credits:*5

*Language:*Polish

*Related to study programmes:*

# (in Polish) Metody numeryczne WM-MA-S2-E1-MN

The aim of the course is to introduce computer calculations. Floating-point arithmetic and selected numerical algorithms will be discussed. The laboratory serves to deepen the content presented during the lecture, in particular the use of learned methods in medicine, physics, chemistry, sociology, physics and technical sciences.

Will be discussed:

1. Floating-point arithmetic

2. Methods for solving nonlinear equations

3. Methods for solving systems of linear equations

4. Methods of solving ordinary differential equations

5. Methods for solving partial differential equations

6. Quadratures

## (in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się

## (in Polish) E-Learning

Term 2022/23_L: (in Polish) E-Learning | Term 2023/24_L: (in Polish) E-Learning | Term 2022/23_Z: (in Polish) E-Learning (pełny kurs) z podziałem na grupy |

## (in Polish) Grupa przedmiotów ogólnouczenianych

## Subject level

## Learning outcome code/codes

## Type of subject

## Preliminary Requirements

## Course coordinators

## Learning outcomes

LECTURE

W1 - The student knows and understands the limitations of the accuracy of numerical calculations (I2_W03).

W2 - The student knows and understands the definitions, theorems and basic proof techniques discussed during the lecture (I2_W03).

W3 - The student knows and understands the computational methods presented during lectures (I2_W03).

U1 - The student is able to estimate the size of the error and the computational cost of the methods presented during lectures (I2_U01).

LAB

U1 - The student is able to use the selected numerical package or numerical library (I2_U02, I2_U03).

U2 - The student is able to write the code of selected numerical algorithms and estimate their cost and error size (I2_U06).

## Assessment criteria

The following evaluation criteria are adopted for all effects in all forms of verification:

rating 5: fully achieved (no noticeable shortcomings),

rating 4.5: almost fully achieved and the criteria for awarding a higher rating are not met,

grade 4: achieved to a significant extent and the criteria for awarding a higher grade are not met,

grade 3.5: achieved to a significant extent - with a clear predominance of positives - and the criteria for awarding a higher grade are not met,

rating 3: achieved for most cases covered by the verification and the criteria for awarding a higher rating are not met,

grade 2: not achieved for most cases under review.

## Bibliography

D. Kincaid, W. Cheney, Analiza numeryczna, Wydawnictwa Naukowo-Techniczne, Warszawa 2006. ISBN 83-204-3078-X

A. Björck, G. Dahlquist, Metody numeryczne, Państwowe Wydawnictwo Naukowe, Warszawa 1987. ISBN 83-01-04276-1

Term 2022/23_L:
D. Kincaid, W. Cheney, Analiza numeryczna, Wydawnictwa Naukowo-Techniczne, Warszawa 2006. ISBN 83-204-3078-X |

## Additional information

Information on *level* of this course, *year of study* and semester when the course
unit is delivered, types and amount of *class hours* - can be found in course structure
diagrams of apropriate study programmes. This course is related to
the following study programmes:

Additional information (*registration* calendar, class conductors,
*localization and schedules* of classes), might be available in the USOSweb system: