Analitička geometrija i linearna algebra. Bodovna vrijednost (ECTS) Elezović, N.: Linearna algebra, Element, Zagreb (više izdanja). desetak. Elezović, N. Check whole offer from author NEVEN ELEZOVIĆ. cart add to wishlist. LINEARNA ALGEBRA – ZBIRKA ZADATAKA – 3. izdanje – neven elezović, andrea aglić. Elezović, Neven. Overview . Matematika 3: zadaci s pismenih ispita by Neven Elezović(Book) Linearna algebra: s 58 crteža by Neven Elezović(Book).
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Study programme undergraduate, graduate, integrated. Status predmeta obvezan 1.
Understand mathematical methods and physical laws applied in geodesy and geoinformatics. Use of acquired mathematical and numerical skills of analytical geometry and linear algebra to solve problems in the field of study. Godina studija Prva, I semestar 1. Uvjeti za upis predmeta i ulazne kompetencije potrebne za predmet Uvjeti za upis: Mutual position of two planes. Optional literature at the time of submission of study programme proposal Anton, H.
Other as the proposer wishes to add Nositelj ica predmeta: Uvjeti za upis predmeta i ulazne kompetencije potrebne za predmet.
Author: ELEZOVIĆ, NEVEN
Grading System ID linearha Activity on the system for e-learning. Level of application of e-learning level 1, 2, 3percentage of online instruction max.
Forms of Teaching Lectures lihearna lectures include auditory exercises Exams five homeworks Exercises included in the lectures Consultations twice per week E-learning matrix transformations of the plane http: Solving linear systems using the Gauss-Jordan reduction. Lecturers in Charge Prof.
Number of copies in the library. Dostupnost putem ostalih medija.
Recognize the acquired mathematical and numerical skills of analytical geometry and linear algebra in the field of study. Dopunska literatura u trenutku prijave prijedloga studijskoga programa. Linear Algebra WorkbookElement, Zagreb, multiple editions some ten 2. Demonstrate competences in theoretical principles, procedures of computing and visualising the surveying data.
Course objectives Recognize the acquired mathematical and numerical skills of analytical geometry and linear algebra in the field of study. Svojstvene vrijednosti i svojstveni vektori.
Poll No polls currently selected on this page! Computation of the inverse matrix Gaussian elimination method. The implementation of a single university Questionnaire for evaluating teachers prescribed by the Senate.
Regular attendance of lectures and doing homework are requirement for taking exam. Course objectives Recognize the acquired mathematical and numerical skills of analytical geometry and linear algebra in the field of study.
Pri ponavljanju gradiva na predavanjima. Master the fundamental vector algebra and analytic geometry concepts and apply them in solving tasks; Identify and differentiate between types of second order surfaces; Explain the concepts of matrices and determinants, list their properties and use them in computations with matrices and determinants; Distinguish methods for solving systems of linear equations and apply lineqrna appropriate method to solve a given system; Describe the method of least squares and argue its application in solving tasks; Define the terms of eigenvalues and eigenvectors and know their typical applications; Describe and implement the concepts of diagonalization and orthogonal diagonalization of a matrix.
Elezović, Neven [WorldCat Identities]
Characterization of regular matrices Elementary transformations, algebrw of a matrix, linear independence and rank. Linear Algebra WorkbookElement, Zagreb, multiple editions. Student responsibilities Regular school attendance.
Mutual position of a line and a plane Vector spaces and their subspaces. Raspored nastave u zimskom semestru ak. Exercise appropriate judgements on the basis of performed calculation processing and interpretation of data obtained by means of surveying and its results.
Required literature available in the library and via other media Title Number of copies in the library Availability via other media Beban Brkic, J. Laplace’s rule, Elementary transformations, rank of a matrix, linear independence and rank.