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 .  Jurlewicz J., Skoczylas T.– Algebra liniowa 1,2. Przykłady i zadania;.
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The evaluation of the lecture is the evaluation of a multiple-choice test to check the learning outcomes in terms of: Method and Criteria of Assessment:.
Algebra and Number Theory
Course descriptions are protected by copyright. Copyright by University of Lodz.
The positive evaluation of the test is a prerequisite to get the final grade. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:. The evaluation of the lecture is the linniowa of a multiple-choice test to check the learning outcomes in terms of: Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Matrices, operations in the set of matrices with coefficients in a field.
The positive evaluation of the sklczylas colloquia is a prerequisite for admission to the test. 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. The exercise class mark is the average of the marks from two tests.
You are not logged in log in. Knowledge of English language.
The greatest common divisor. The goal of the course is to present those notions of number theory and abstract algebra which are necessary for the understanding of the modern applications of those branches of mathematics in computer science, e. Systems of algdbra equations. Lines, planes, hyperplanes in Rn. Discussion class, 28 hours more information Lecture, 28 hours more information.
Szymon BrzostowskiKacper Grzelakowski. Lecture, discussion, working in groups, heuristic talk, directed reasoning, self-study.
Linear Algebra and Analytic Geometry II – USOSweb – Politechnika Rzeszowska
You are not logged in log in. A passing mark for exercise class is a prerequisite for taking the theory exam. The positive evaluation of the two colloquia is a prerequisite for admission to the test.
Faculty of Mathematics and Computer Science. It may be increased in special cases to students taking active part in the exercises up to one level up.
Lecture, discussion, working in groups, heuristic talk, directed reasoning, algebrra. Skip to main menu Skip to submenu Skip to content. In special cases, the assessment may be increased by half a degree. Basis of linear space.
Lines, planes, hyperplanes in Rn. On completion of the course, the student: Euclidean algorithm and Bezout’s theorem. Operations on complex numbers.
Systems of linear equations. Matrix representation of linear transformation.