ANALITICKA GEOMETRIJA PDF

Analiticka geometrija – zadaci za vezbanje Uploaded by dcgad. Copyright: © All Rights Reserved. Download as PDF or read online from Scribd. Flag for. Request PDF on ResearchGate | On Jan 1, , Zvonko Cerin and others published Analitička geometrija ravnine računalom. Analitička geometrija i linearna algebra. Bodovna vrijednost (ECTS). 5. Suradnici. Željka Tutek. Način izvođenja nastave (broj sati P+V+S+e-učenje).

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Uvjeti za upis predmeta i ulazne kompetencije potrebne za predmet Uvjeti za upis: Course content broken down in detail by weekly class schedule syllabus Vector algebra. Svojstvene vrijednosti i svojstveni vektori. Status of the course compulsory 1.

Analitička geometrija – Wikipedija

Matematika 1www. Availability via other media. Grading and evaluating student work in class and at the final exam. Status predmeta obvezan 1. Studijski program preddiplomski, diplomski, integrirani preddiplomski 1. Exercise appropriate judgements on the basis of performed calculation processing and interpretation of data obtained by means of surveying and geometriaj results.

Course enrolment requirements and entry competences required for the course.

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Learning outcomes at the level of the programme to which the course contributes Demonstrate competences in theoretical principles, procedures of computing and visualising the surveying data.

Grading and evaluating student work in class and at the final exam credits sufficient 2 credits good 3 credits very good 4 credits excellent 5 2. Dopunska literatura u trenutku prijave prijedloga studijskoga programa Geomettija, H. Optional literature at the time of submission of study programme proposal. Linear Algebra WorkbookElement, Zagreb, multiple editions some ten 2.

Required literature available in the library and via other media. Quality assurance methods that ensure the acquisition of exit competences. Problem solving during exercises. Take responsibility for continuing academic development in the field of geodesy and geoinformatics, or related disciplines, and for the development of interest in lifelong learning and further professional education.

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Course objectives Recognize the acquired mathematical and numerical skills of analytical geometry and linear algebra in the field of study. Diagonalization of quadratic forms. Analytical Geometry and Linear Algebra.

Course info

The implementation of a single university Questionnaire for evaluating teachers prescribed by the Senate. Demonstrate competences in theoretical principles, procedures of computing and visualising the surveying data. Study snaliticka undergraduate, graduate, integrated.

Name of the course Analytical Geometry and Linear Algebra 1. Activity on the system for e-learning.

Summary of Analytical Geometry and Linear Algebra

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 the 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.

Linearna zavisnost i linearna nezavisnost vektora. Understand mathematical methods and physical laws applied in geodesy and geoinformatics. Godina studija Prva, I semestar 1. Linear Algebra WorkbookElement, Zagreb, multiple editions. Dopunska literatura u trenutku prijave prijedloga studijskoga programa.

Apply knowledge of mathematics and physics for the purpose of recognizing, formulating and solving of problems in the field of geodesy and geoinformatics. Pri ponavljanju gradiva na predavanjima. Analiitcka of acquired mathematical and numerical skills of analytical geometry and linear algebra to solve problems in the field of study. Expected enrolment in the course 90 1. Level of application of e-learning level 1, 2, 3percentage of online instruction max. Student responsibilities Regular school attendance.

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Quality assurance methods that ensure the acquisition of exit competences Class attendance.

Optional literature at the time of submission of study programme proposal Anton, H. Year of the study programme First, 1st semester 1.

Use the system for e-learning. Solving linear systems using the Gauss-Jordan reduction. Bodovna vrijednost ECTS 5 1. Learning outcomes expected at analiticcka level of the course 4 to 10 learning outcomes 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 geometria for solving systems of linear equations and apply the 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.

Uvjeti za upis predmeta i ulazne kompetencije potrebne za predmet. Wnaliticka outcomes at the level of the programme to which the course contributes. In revising during lectures. Number of copies in the library.