Numerical Methods

General data

Course ID:	0600-FS2-2MNU#a
Erasmus code / ISCED:	(unknown) / (unknown)
Course title:	Numerical Methods
Name in Polish:	Numerical Methods
Organizational unit:	(in Polish) Instytut Matematyki.
Course groups:
ECTS credit allocation (and other scores):	(not available) 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. view allocation of credits
Language:	English
Type of course:	obligatory 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 30 h. laboratory class 30 h. Verification methods: lectures, consultations, projects, presentations, studying literature, home works, discussions in groups. ECTS credits: 6 Balance of student workload: attending lectures15x2h = 30h 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: 68 h., 2 ECTS Practical exercises: 110 h., 4 ECTS
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

This course is not currently offered.

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