Numerical Methods
General data
Course ID: | 360-MS2-2MNUMa |
Erasmus code / ISCED: |
11.102
|
Course title: | Numerical Methods |
Name in Polish: | Numerical Methods |
Organizational unit: | Faculty of Mathematics |
Course groups: |
(in Polish) Erasmus+ sem. zimowy |
ECTS credit allocation (and other scores): |
5.00
|
Language: | English |
Type of course: | elective courses |
Short description: |
Course objectives: Introduction to selected methods of numerical analysis and numerical linear algebra. Practical applications. |
Full description: |
Course profile: academic Form of study: stationary Course type: obligatory Academic discipline: Mathematics, field of study in the arts and science: mathematics Year: 2, semester: 3 Prerequisities: none lecture 15 h. laboratory class 30 h. Verification methods: lectures, consultations, projects, presentations, studying literature, home works, discussions in groups. ECTS credits: 5 Balance of student workload: attending lectures15x1h = 15h attending laboratories 7x4h + 2h(instruktażu) = 30h preparation for classes 7x3h = 21h completing notes after exercises and lectures 7x2h = 14h consultations 5x1h = 5h preparing medium size projects 40h = 40h final exam: preparation and take 12h + 3h = 15h Quantitative description Direct interaction with the teacher: 53 h., 2 ECTS |
Bibliography: |
D.Kincaid, W.Cheney, Numerical Analysis: Mathematics of Scientific Computing, American Mathematical Soc., 2002; A.Björck, G.Dahlquist, Numerical Methods, Courier Dover Publications, 2003; J.Stoer, R.Bulirsch, Introduction to Numerical Analysis, Springer, 2002; |
Learning outcomes: |
Learning outcomes: Student knows the selected methods of solving systems of linear and nonlinear equations.K_W08, K_W10, K_K01 Student can compute the determinant and the inverse matrix.K_W04, K_W08, K_W10, K_K01 Student knows some methods of computing of the eigenvalues and eigenvectors of a matrix.K_W04, K_W07, K_W08, K_W10, K_K01 Student is able to describe the problem of the approximation and knows some methods of the approximation.K_W08, K_W10, K_U19, K_K01 Student knows some methods of the integral calculus. She/He is able to compute the quadrature for the finite and infinite interval.K_W08, K_W10, K_U05, K_U19, K_K01 Student can solve numerically the ordinary differential equations and some very simple partial differential equations.K_W04, K_W07, K_W08,K_U05, K_U06, K_U16, K_U19, K_K01 Student is able to solve the problems using an application program for mathematics.K_W12, K_K01, K_U20, K_K08 |
Assessment methods and assessment criteria: |
The overall form of credit for the course: final exam |
Classes in period "Academic year 2023/2024" (in progress)
Time span: | 2023-10-01 - 2024-06-30 |
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MO TU WYK
LAB
W TH FR |
Type of class: |
Laboratory, 30 hours
Lecture, 15 hours
|
|
Coordinators: | Tomasz Czyżycki, Aneta Sliżewska, Marzena Szajewska | |
Group instructors: | Marzena Szajewska | |
Students list: | (inaccessible to you) | |
Examination: |
Course -
Grading
Laboratory - Grading |
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