Numerical Methods
General data
Course ID:  0600MS12MNU#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 

Prerequisites:  Introduction to Programming 0600MS11WDP 

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:  20181001  20190630 
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 
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