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(in Polish) Metody numeryczne

General data

Course ID: WM-MA-S2-E1-MN
Erasmus code / ISCED: (unknown) / (unknown)
Course title: (unknown)
Name in Polish: Metody numeryczne
Organizational unit: Faculty of Mathematics and Natural Sciences. School of Exact Sciences.
Course groups:
ECTS credit allocation (and other scores): 5.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: Polish
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się:

mathematics

Subject level:

elementary

Learning outcome code/codes:

lecture: I2_W03, I2_U01

laboratory: I2_U02, I2_U03, I2_U06



Preliminary Requirements:

linear algebra, mathematical analysis, basics of programming, algorithms and data structures



Short description:

The aim of the course is to present the principles of computer calculations on the example of basic tasks: solving nonlinear and linear equations, ordinary and partial differential equations, quadratures.

Full description:

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

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

Efekty kształcenia i opis ECTS:

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 methods and 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.

Classes in period "Winter semester 2022/23" (past)

Time span: 2022-10-01 - 2023-01-31
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lectures, 30 hours more information
Coordinators: (unknown)
Group instructors: (unknown)
Students list: (inaccessible to you)
Examination: examination
(in Polish) E-Learning:

(in Polish) E-Learning (pełny kurs) z podziałem na grupy

Classes in period "Summer semester 2022/23" (past)

Time span: 2023-02-01 - 2023-06-30
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lectures, 30 hours more information
Coordinators: Jerzy Cytowski
Group instructors: Jerzy Cytowski
Students list: (inaccessible to you)
Examination: Course - examination
Classes - graded credit
Lectures - examination
(in Polish) E-Learning:

(in Polish) E-Learning

Short description:

The aim of the course is to present the principles of computer calculations on the example of basic tasks: solving nonlinear and linear equations, ordinary and partial differential equations, quadratures.

Full description:

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

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

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-15 - 2024-06-30
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lectures, 30 hours more information
Coordinators: Jerzy Cytowski
Group instructors: Jerzy Cytowski
Students list: (inaccessible to you)
Examination: Course - examination
Classes - graded credit
Lectures - examination
(in Polish) E-Learning:

(in Polish) E-Learning

Type of subject:

obligatory

(in Polish) Grupa przedmiotów ogólnouczenianych:

(in Polish) nie dotyczy

Course descriptions are protected by copyright.
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