Numerical Methods
General data
| Course ID: | 0600-MS1-2MNU | Erasmus code / ISCED: |
11.104
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(unknown)
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| Course title: | Numerical Methods | Name in Polish: | Metody numeryczne |
| Department: | (in Polish) Zakład Równań Różnicowych i Procesów Dyskretnych | ||
| Course groups: |
(in Polish) 2 rok 1 stopnia sem. letni Matematyka spec. Teoretyczna (in Polish) 3L stac. I st. studia matematyki - przedmioty obowiązkowe |
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| ECTS credit allocation (and other scores): |
4.00  view allocation of credits |
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| Language: | Polish | ||
| Type of course: | obligatory courses |
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| Short description: |
Course objectives: Introduction to selected methods of numerical analysis and numerical linear algebra. Practical applications. |
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| 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 |
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| 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 |
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| Assessment methods and assessment criteria: |
The overall form of credit for the course: test |
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Classes in period "Academic year 2017/2018" (past)
| Time span: | 2017-10-01 - 2018-06-30 |
 
 see course schedule |
| Type of class: |
Laboratory, 30 hours more information Lecture, 30 hours more information |
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| Coordinators: | Małgorzata Zdanowicz | |
| Group instructors: | Marzena Szajewska, Małgorzata Zdanowicz | |
| Students list: | (inaccessible to you) | |
| Examination: | Grading |
Classes in period "Academic year 2018/2019" (future)
| Time span: | 2018-10-01 - 2019-06-30 |
see course schedule |
| Type of class: |
Laboratory, 30 hours more information Lecture, 15 hours more information |
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| Coordinators: | (unknown) | |
| Group instructors: | (unknown) | |
| Students list: | (inaccessible to you) | |
| Examination: | Grading |
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