Cycle of education: 2018/2019
The name of the faculty organization unit: The faculty Mathematics and Applied Physics
The name of the field of study: Mathematics
The area of study: sciences
The profile of studing:
The level of study: second degree study
Type of study: full time
discipline specialities : Applications of Mathematics in Computer Science, Applications of Mathematics in Economics
The degree after graduating from university:
The name of the module department : Department of Mathematics
The code of the module: 1484
The module status: mandatory for teaching programme Applications of Mathematics in Computer Science, Applications of Mathematics in Economics
The position in the studies teaching programme: sem: 1 / W30 C30 / 5 ECTS / Z
The language of the lecture: Polish
The name of the coordinator: Leszek Olszowy, DSc, PhD
office hours of the coordinator: termin konsultacji podany w harmonogramie pracy Katedry Analizy Nieliniowei.
semester 1: Szymon Dudek, PhD , office hours office hours as in the work schedule of Department of Nonlinear Analysis.
The main aim of study: The aim of education is first of all delivery of the honest knowledge from functional analysis. During the classes of this subject, students are instructed to basic structures and methods of proving of theorems, which are applied in this area. Moreover, students to get to know fundamental tools of functional analysis, that are used in modern mathematics.
The general information about the module: Topics discused in the module: Algebraic sum, a basis of a vector space, a quotient space, a convex set, a balanced set. Extremal points.Normed spaces. Examples of sequence and function Banach spaces. Holder nad Minkowski inequalities. Separability. Isomorphism of spaces and equivalence of two norms. Schauder basis. Completeness of normed spaces. Baire theorem. Product and quoficient spaces. Criterions of compactness in some Banach spaces. Unitary spaces. Schwarz inequality. Hilbert spaces. Theorems on the best approximation. Gramm determinant. Orthogonality. Schmidt orthogonalization theorem. Orthogonal complements and projections. Orthonormal bases. Fourier coefficients and orthonormal series. Linear operators, bounded linear operators, the norm of operator, the space of linear bounded operators. Some classes of operators: isometry, isomorphism, finite dimensional operators, adjoint operators, compact operators. Banach-Steinhaus theorem, open mapping theorem, inverse operator theorem. Closed graph theorem.
1 | Julian Musielak | Wstęp do analizy funkcjonalnej | Warszawa PWN. | 1989 |
2 | Walter Rudin | Analiza funkcjonalna | Wydawnictwo Naukowe PWN, Warszawa. | 1998 |
1 | Stanisław Prus, Adam Stachura | Analiza funkcjonalna w zadaniach | Warszawa Wyd. nauk. PWN. | 2009 |
1 | Julian Musielak | Wstęp analizy funkcjonalnej | Warszawa PWN. | 1989 |
Formal requirements: a student has completed undergraduate degree in mathematics
Basic requirements in category knowledge: basic knowledge of linear algebra, topology of metric spaces, differential and integral calculus of a function of single variable, measure theory
Basic requirements in category skills: ability of making algebraic operations, calculating limits, investigating monotonicity of a function, ability of operating with basic topological notion
Basic requirements in category social competences: ability of individual and group learning, awaresness of the level of own knowledge and awaresness of necessity of self-education
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 OEK |
---|---|---|---|---|---|
01 | student can examine convergence of a sequence of vectors in a normed space | lectures, problem exercises | written test, exam |
K_W01+ K_W02+ K_W03+ K_W04++ K_W07+ K_U05++ K_U07+ K_U09++ K_U13+ |
X2A_W01 X2A_W02 X2A_U01+ X2A_U02 X2A_U05 |
02 | student can investigate basic topological properties (compactness, closedness, openness) topological properties of some subsets of Banach spaces | lectures, problem exercises | written test, exam |
K_W01+ K_W02+ K_W03+ K_W05++ K_W07+ K_U01+ K_U02+ K_U03++ K_U07+ K_U08++ K_U09++ |
X2A_W01 X2A_W02 X2A_U01+ X2A_U02 X2A_U03 X2A_U05 |
03 | student knows how to apply appropriate methods of the best approximation to the simple problems of minimization | lectures, problem exercises | written test, exam |
K_W01+ K_U05++ K_U07+ K_U09+++ |
X2A_W01 X2A_U01+ |
04 | student can calculate the norm of a linear bounded operator and he knows how to examine some of its properties | lectures, problem exercises, | written test, exam |
K_W01+ K_W02+ K_W07+ K_U02+ K_U05++ K_U07+ K_U09+++ K_K02++ |
X2A_W01 X2A_U01+ X2A_U03 X2A_U05 X2A_K01 X2A_K02 |
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).
Sem. | TK | The content | realized in | MEK |
---|---|---|---|---|
1 | TK01 | W01-W03, C01-C03 | MEK01 MEK02 | |
1 | TK02 | W04-W07, C04-C07 | MEK01 MEK02 | |
1 | TK03 | W08-W10, C09-C11 | MEK03 | |
1 | TK04 | W11-W15, C12-C14 | MEK01 MEK02 MEK04 |
The type of classes | The work before classes | The participation in classes | The work after classes |
---|---|---|---|
Lecture (sem. 1) | contact hours:
30.00 hours/sem. |
complementing/reading through notes:
5.00 hours/sem. Studying the recommended bibliography: 5.00 hours/sem. |
|
Class (sem. 1) | The preparation for a Class:
10.00 hours/sem. The preparation for a test: 30.00 hours/sem. |
contact hours:
30.00 hours/sem. |
Finishing/Studying tasks:
5.00 hours/sem. |
Advice (sem. 1) | The preparation for Advice:
2.00 hours/sem. |
The participation in Advice:
8.00 hours/sem. |
|
Credit (sem. 1) | The written credit:
4.00 hours/sem. |
The type of classes | The way of giving the final grade |
---|---|
Lecture | The grade from lectures is evaluated according to student's presence at lectures. |
Class | The grade from classes, after passing all MEKs, is evaluated on basis tests and an activity in time of classes. This indirect result is recalculated to final grade according to the following scale: 100%-91% - 5.0, 90%-81% - 4.5, 80%-71% - 4.0, 70%-61% - 3.5, 60%-0% - 3.0. |
The final grade |
Required during the exam/when receiving the credit
Semestr 1.pdf
Realized during classes/laboratories/projects
(-)
Others
(-)
Can a student use any teaching aids during the exam/when receiving the credit : no