Numerical Methods WM-I-S2-E1-MNU

The aim of the course is to provide an introduction to computer calculations. The following will be discussed: floating-point arithmetic and selected numerical algorithms. The laboratory serves to deepen the content presented in the lecture, in particular to learn the practical implementation of the algorithms covered.

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

information and communication technology

(in Polish) E-Learning

(in Polish) E-Learning z podziałem na grupy

(in Polish) Grupa przedmiotów ogólnouczenianych

(in Polish) nie dotyczy

Course coordinators

Dorota Dąbrowska
Filip Rupniewski

(in Polish) Opis nakładu pracy studenta w ECTS

(in Polish) WYKŁAD uczestnictwo w zajęciach: 30 godz. udział w egzaminach poza zajęciami: 3 godz. udział w konsultacjach: 4 godz. przygotowanie do egzaminu: 38 godz. Łącznie 75 godz. 1,5 ECTS - kontakt bezpośredni z prowadzącym 1,5 ECTS - praca własna LABORATORIUM/ĆWICZENIA uczestnictwo w zajęciach: 30 godz. udział w konsultacjach: 4 godz. przygotowanie do zajęć: 11 godz. przygotowanie do zaliczenia: 30 godz. Łącznie 75 godz. 1,4 ECTS - kontakt bezpośredni z prowadzącym 1,6 ECTS - praca własna

Subject level

advanced

Learning outcome code/codes

lecture: I2_W03; laboratory/tutorials: I2_U02, I2_U03, I2_U06 DESCRIPTION OF SYMBOLS lecture — The graduate: - I2_W03 — knows and understands, to an in-depth degree, the regularities, phenomena and processes expressed in the language of the mathematical, natural or technical sciences. - laboratory/tutorials — The graduate: - I2_U02 — is able to apply mathematical and technical knowledge to formulate, analyse and solve problems related to computer science, - I2_U03 — is able to program in a high-level language, - I2_U06 — [is able to] design algorithms, analyse them in terms of correctness and computational cost, and prepare technical documentation.

Type of subject

obligatory

Preliminary Requirements

Linear algebra, mathematical analysis, fundamentals of programming, algorithms and data structures.

Learning outcomes

LECTURE — The student:

W1— explains the impact of the limited precision of number representation and of numerical errors on the accuracy and reliability of computational results (I2_W03),
W2 — describes the theoretical foundations of numerical methods, states and proves selected theorems, and explains the application of the methods to solving computational problems (I2_W03),
W3 — compares numerical methods in terms of assumptions, accuracy, stability and range of applications (I2_W03).

LABORATORY/TUTORIALS — The student:

U1 — selects and uses appropriate numerical packages and libraries to solve computational problems (I2_U03),
U2 — selects and applies numerical methods to solve computational problems, interprets the results obtained, and analyses the cost and computational efficiency of the solutions applied (I2_U02, I2_U06).

Assessment criteria

For all learning outcomes, the following assessment criteria apply in all forms of verification:
grade 5: achieved fully (without noticeable shortcomings),
grade 4.5: achieved almost fully, and the criteria for awarding a higher grade are not met,
grade 4: achieved to a considerable degree, and the criteria for awarding a higher grade are not met,
grade 3.5: achieved to a considerable degree – with a clear predominance of positives – and the criteria for awarding a higher grade are not met,
grade 3: achieved for the majority of cases covered by verification, and the criteria for awarding a higher grade are not met,
grade 2: not achieved for the majority of cases covered by verification.

Additional information

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

Description of WM-I-S2-E1-MNU in USOSweb