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Monographic lecture II - Numerical linear algebra

Some basic information about the module

Cycle of education: 2019/2020

The name of the faculty organization unit: The faculty Mathematics and Applied Physics

The name of the field of study: Engineering and data analysis

The area of study: sciences

The profile of studing:

The level of study: first degree study

Type of study: full time

discipline specialities :

The degree after graduating from university: engineer

The name of the module department : Department of Mathematics

The code of the module: 12348

The module status: mandatory for teaching programme with the posibility of choice

The position in the studies teaching programme: sem: 5 / W30 C15 / 3 ECTS / Z

The language of the lecture: Polish

The name of the coordinator: Leszek Olszowy, DSc, PhD

office hours of the coordinator: podane w harmonogramie pracy Katedry Analizy Nieliniowej..

The aim of studying and bibliography

The main aim of study: To acquaint students with selected topics in higher mathematics. Students will have one of two topics to choose, which will be given before the end of the second semester

The general information about the module: Semester 5,The module is implemented in the form of lectures (30 hours) and exercises (15 hours).

Bibliography required to complete the module
Bibliography used during lectures
1 A. Kiełbasiński, H.Schwetlick Numeryczna algebra liniowa WNT, Warszawa. 1992
2 D. Kincaid, W. Cheney Analiza numeryczna WNT, Warszawa . 2006
Bibliography used during classes/laboratories/others
1 A. Bjorc, G. Dahlquist Metody numeryczne PWN, Warszawa . 1987
2 A. Maćkiewicz Algorytmy algebry liniowej. Metody bezpośrednie Wydawnictwo Politechniki Poznańskiej, Poznań. 2002
Bibliography to self-study
1 Z.Fortuna, B.Macukow, J.Wąsowski Metody numeryczne WNT . 2001

Basic requirements in category knowledge/skills/social competences

Formal requirements: Completion of the course Mathematical analysis and Linear algebra. The student satisfies the formal requirements set out in the study regulations.

Basic requirements in category knowledge: A student has mathematical knowledge which allows him/her to understand the lectured material.

Basic requirements in category skills: Ability to use fundamental mathematical tools and the knowledge obtained during the first level studies.

Basic requirements in category social competences: Ability of individual and group learning.

Module outcomes

MEK The student who completed the module Types of classes / teaching methods leading to achieving a given outcome of teaching Methods of verifying every mentioned outcome of teaching Relationships with KEK Relationships with PRK
01 Student knows the basic terminology and facts about linear mappings and matrices. lectures, problem exercises written test K_W01+
K_U01+
K_K01+
K_K05+
P6S_KK
P6S_KO
P6S_UW
P6S_WG
02 Knows main methods of exact and approximate solving of systems of linear equations lectures, problem exercises written test K_W01+
K_W08+
K_U01+
K_U10+
K_K01+
P6S_KK
P6S_UW
P6S_WG
03 Knows main methods of calculation of eigenvalues lectures, problem exercises written test K_W01+
K_W08+
K_U01+
K_U10+
K_K01+
P6S_KK
P6S_UW
P6S_WG

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem. TK The content realized in MEK
5 TK01 Bounded linear operators and their norms. Eigenvalues and eigenvectors of operators and matrices, characteristic polynomial and spectral radius. Hermitian, normal, unitary, positive-definite matrices, similarity of matrices. Householder matrices, transforming the matrix into a triangular form, diagonal form of matrix, Jordan matrix. W1-W15 C1-C7 MEK01
5 TK02 Numerical solution of systems of linear equations (Gauss's algorithm, Cholesky–Banachiewicz algorithm) W16-W22 C8-C11 MEK02
5 TK03 Some methods of calculating of eigenvalues, algorithms of reduction of any matrix to a Hessenberg form and three-pronged matrix, methods of calculation of characteristic polynomial, the methods GR and its improvments, Jacobi's method. W23-W30 C12-C15 MEK03

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 5) contact hours: 30.00 hours/sem.
Studying the recommended bibliography: 10.00 hours/sem.
Class (sem. 5) The preparation for a test: 10.00 hours/sem.
contact hours: 15.00 hours/sem.
Finishing/Studying tasks: 4.00 hours/sem.
Advice (sem. 5)
Credit (sem. 5)

The way of giving the component module grades and the final grade

The type of classes The way of giving the final grade
Lecture A credit for the lecture is based on attendance at the lectures.
Class A credit for the exercises is based on the results of tests and oral answers.
The final grade The final grade is a grade for the exercises.

Sample problems

Required during the exam/when receiving the credit
(-)

Realized during classes/laboratories/projects
(-)

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile: no