APSEN ZBIRKA PDF

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Quality assurance methods that ensure the acquisition of exit competences. Optional literature at the time of submission of study programme proposal W.

Study programme undergraduate, graduate, integrated undergraduate 1. Uvjeti za upis predmeta i ulazne kompetencije potrebne za predmet. Course objectives Understanding the key topics and problems of Mathematical Analysis.

Learning outcomes at the level of the programme to which the course contributes. Course content broken down in detail by weekly class schedule syllabus. In case that student is not satisfy whit his grade, than he has to do zbiria classical exam written exam and oral exam 2.

Zbrika program preddiplomski, diplomski, integrirani.

Learning outcomes expected at the level of the course 4 to 10 learning outcomes. Status of the course obligatory 1. Izmjene i dopune Plana nabave roba, radova i usluga za Nadmetanja Registar sklopljenih ugovora Registar bagatelne nabave u Understand mathematical methods and physical laws applied in geodesy and geoinformatics. Registar bagatelne nabave u Understanding the key topics and problems of Mathematical Analysis.

Informacije o e-kolegiju

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. Learning outcomes expected at the level of the course 4 to 10 learning outcomes – Define and implement the tasks terms of mathematical logic, sets, sets of numbers and mathematical induction – Define, analyze and relate the concepts and properties of real functions of a real variable, as well as terms related to a sequences limit of a sequence, limit of a function – Define and apply the concepts tasks derivatives, indefinite and definite integrals – Define and apply the concepts tasks series of numbers, functional series and power series, as a Taylor series expansion and Mac Lauren series – Define, analyze and apply the tasks terms of functions of several variables, as well as Taylor and Maclaurin series for two variables, and to determine the extreme values of functions of two variables – Define the term and solve differential equations method of separation of variables 2.

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Required literature available in the library and via other media. Grading and evaluating student work in class and at the final exam. Level of application of e-learning level 1, 2, 3percentage of online instruction max.

Sažeti opis Matematička analiza

Godina studija 1 1. In case that student is not satisfy whit his grade, than he has to do the classical exam written exam and oral exam. Homework, participation in class during the lectures and exercises, writing obligatory seminars, the accession of the partial exam, the accession of the classical exam if the exam is failed by a partial exams Seelf-evaluation of teachers and student survey. Required literature available in apsrn library and via other media Title Apsn of copies in the library Availability via other media J.

Exercise appropriate judgements on the basis of performed calculation processing and interpretation of data obtained by means of surveying and its results. Availability via other media. Optional literature at the time of apesn of study programme proposal. Naslovnica E-kolegiji Studiji Studij geodezije i geoinformatike – preddiplomski 1.

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Homework, apesn in class during the lectures and exercises, writing obligatory seminars, the accession of the partial exam, the accession of the classical exam if the exam is failed by a partial exams.

Expected enrolment in the course 1. Apply knowledge of mathematics and physics for the purpose of recognizing, formulating and solving of problems in the field of geodesy and geoinformatics.

Also it is necessary to develop many skills between abstract entities according to certain rules and apply it into Geodesy 2. 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. Ispitni rokovi u ak. Course enrolment requirements and entry competences required for the course. Status predmeta obvezan 1. Dostupnost putem ostalih medija.

Apswn of copies in the library. Name of the course Mathematical Analysis 1.

Quality assurance methods that ensure the acquisition of exit competences Homework, participation in class during the lectures and exercises, writing obligatory seminars, the accession of the partial exam, the accession of the classical exam if the exam is failed by a partial exams Seelf-evaluation of teachers and student survey 2.

Demonstrate competences in theoretical principles, procedures of computing and visualising the surveying data. Raspored nastave u zimskom semestru ak. Also it is necessary to develop many skills between abstract entities according to certain rules and apply it into Geodesy.