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Numerical Methods

General data

Course ID: 0600-MS1-2MNU#a Erasmus code / ISCED: 11.102 / (0541) Mathematics
Course title: Numerical Methods Name in Polish: Numerical Methods
Department: Faculty of Mathematics and Informatics
Course groups: (in Polish) 3L stac. I st. studia matematyki - przedmioty obowiązkowe
ECTS credit allocation (and other scores): 4.00
view allocation of credits
Language: English
Type of course:

obligatory courses


Introduction to Programming 0600-MS1-1WDP
Linear Algebra I 0600-MS1-1AL1#a
Mathematical Analysis I 0600-MS1-1AM1#a

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: 4

Prerequisities: Introduction to Programming, Mathematical Analysis I, Linear Algebra I

lecture 30 h. laboratory class 30 h.

Verification methods: lectures, consultations, projects, studying literature, home works, discussions in groups.

ECTS credits: 4

Balance of student workload:

attending lectures15x2h = 30h

attending laboratories 7x4h + 2h(preliminary teaching) = 30h

preparation for classes 14x2h = 28h

completing notes after exercises and lectures 7x2h = 14h

consultations 5x1h = 5h

final work: preparation and take 12h + 3h = 15h

Quantitative description

Direct interaction with the teacher: 68 h., 2 ECTS

Practical exercises: 77 h., 2 ECTS

Learning outcomes:

Learning outcomes:

Student knows selected algorithms and methods of numerical analysis and numerical linear algebra. She/he can apply the suitable algorithms to the specific problems.K_W03,K_U29

Student knows basic computational methods which help solving mathematical problems, but understands their limitations.K_W02,K_W08,K_U01

Student is able to use numerical methods to solve the selected problems of differential and integral calculus (inclusive of their applications), and linear algebra.K_U15,K_U25

Student solves problems choosing the suitable algorithms and methods and interprets the results of computing in context of the accuracy.K_U20, K_U26, K_U27

Assessment methods and assessment criteria:

The overall form of credit for the course: test

Classes in period "Academic year 2018/2019" (in progress)

Time span: 2018-10-01 - 2019-06-30
Choosen plan division:

see course schedule
Type of class: Laboratory, 30 hours more information
Lecture, 30 hours more information
Coordinators: Jarosław Kotowicz
Group instructors: (unknown)
Students list: (inaccessible to you)
Examination: Grading
Course descriptions are protected by copyright.
Copyright by University of Bialystok.