T. Jurlewicz, Z. Skoczylas – Algebra Liniowa 2 – Definicje, Twierdzenia, Algebra Liniowa 2 – Przykłady I Zadania, Jurlewicz, Skoczylas, Gis (Algebra liniowa 2. Przykłady i zadania). 4th augmented ed · Article · [object Object]. Teresa Jurlewicz · [object Object]. Zbigniew Skoczylas. Publication Preview. Course title: Algebra and Number Theory, Name in Polish: Algebra and Number . [3] Jurlewicz J., Skoczylas T.– Algebra liniowa 1,2. Przykłady i zadania;.

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Lines, planes, hyperplanes in Rn. Faculty of Mathematics and Computer Science.

The greatest common divisor. Systems of linear equations.

Algebra and Number Theory – University of Łódź

You are not logged in log in. The positive evaluation of linioaa two colloquia is a prerequisite for admission to the test. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb aogebra In special cases, the assessment may be increased by half a degree.

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The exercise class mark is the average of the marks from two tests. Lines, planes, hyperplanes in Rn. You are not logged in log in. Skip to main menu Skip to submenu Skip to content.

The positive evaluation of the test is a prerequisite to get the final grade. Knowledge of English language.

Szymon BrzostowskiKacper Grzelakowski. A passing mark for exercise class is a prerequisite for taking the theory exam. Basis of linear space.

T. Jurlewicz, Z. Skoczylas – Algebra Liniowa 2 – Definicje, Twierdzenia, Wzory.pdf

The lecture mark is the final written exam mark. Lecture, discussion, working in groups, heuristic talk, directed reasoning, self-study.

Copyright by University of Lodz. In zadaniq cases, the assessment may be increased by half a degree. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:. The evaluation of the lecture is the evaluation of a multiple-choice test to check the learning outcomes 22 terms of: Faculty of Mathematics and Computer Science.

Euclidean algorithm and Bezout’s theorem. The evaluation of the lecture is the evaluation of a multiple-choice test to check the learning outcomes in terms of: On completion of the course, the student: Systems of linear equations.

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University of Lodz – Central Authentication System. Definicje, twierdzenia, wzory; [5] Mostowski A. Course descriptions are protected by copyright.

Discussion practice class, 28 hours more information Lecture, 28 hours more information. Basis of linear space. The purpose of this course is to present basic concepts and facts from number theory and algebra of fundamental importance in the further education of information technology – including issues relating to divisibility, modular arithmetic, matrix calculus and analytic geometry.

Lecture, algebrw, working in groups, heuristic talk, directed reasoning, self-study. Matrix representation of linear transformation.