DISKRETNA MATEMATIKA ZADACI PDF

Diskretna matematika. views Diskretna matematika Published in: . Us diskretna matematika sa zbirkom zadataka – staro izdanje. Title Slide of riješeni-zadaci-više-matematike-prvi-dio-boris-apsen Diskretna matematika. Mario Kasa. Rešenja zadataka. Get this from a library! Diskretna matematika: osnovi kombinatorike i teorije grafova: zbirka rešenih zadataka. [Dragan Stevanović; Marko Milošević; Vladimir .

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Pri ponavljanju gradiva na predavanjima. Level of application of e-learning level 1, 2, 3percentage of online instruction max. Develop a sense of different degrees of mathematical rigor and formalism and learn to use them in problem solving tasks. Distinguish parts of mathematics that studies diskretan systems, i. Argue the reasons why the characteristics of the computer are described within the framework of finite mathematical systems.

Basics of Geoinformatics, Programming Competencies required: In revising magematika lectures. Solving tasks during exercises. Activity on the system for e-learning. Interactive assignments and Seminar essays.

The implementation of a single university Questionnaire for evaluating teachers prescribed by the Senate. Raspored nastave u zimskom semestru ak. Ispitni rokovi u ak. Izmjene i dopune Plana nabave roba, radova i usluga za Nadmetanja Registar sklopljenih ugovora Registar bagatelne nabave u Registar bagatelne nabave u Naslovnica E-kolegiji Studiji Studij geodezije i geoinformatike – preddiplomski 6.

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Naziv predmeta Diskretna matematika 1. Bodovna vrijednost ECTS 5 1. Studijski program preddiplomski, diplomski, integrirani preddiplomski 1.

Status predmeta izborni 1. Uvod u teoriju grafovaElement, Zagreb, Year of the study programme Third, 6th semester 1. Name of the course Discrete mathematics 1. Credits ECTS 5 1. Study programme undergraduate, graduate, integrated Bachelor Study 1. Expected enrolment in the course some fifty 1. Status of the course elective 1. Become familiar with the language of computer science. Course enrolment requirements and entry competences required for the course Passed exams: Learning outcomes at the level of the programme to which the course contributes Understand mathematical methods and physical laws applied in geodesy and geoinformatics.

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Apply knowledge of mathematics and physics for the purpose of diskretma, formulating and solving of problems in the field of geodesy and geoinformatics.

Use information technology in solving geodetic and geoinformation tasks Exercise appropriate judgements on the basis of performed calculation processing and interpretation of data obtained by means of surveying and its results. 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 recognize and apply basic types of mathematical reasoning; define and classify binary relations on sets knowing their properties and typical examples; pronounce and apply the properties of relations in systems for data processing and for the development of functional algorithms; adopt basic combinatorial concepts and counting rules ,atematika recognize them when counting the elements of a finite set; determine the generating function of the starting sequence and identify and solve simple recurrence relations; diskregna the theory of Boolean algebra to design logic circuits and networks; distinguish the basic concepts of graph theory; Compare and model certain combinatorial problems using graph theory shortest path algorithm, nearest neighbor algorithm,….

Course content broken down in detail by weekly class schedule syllabus Mathematical logic 2h Sets and relations 2h Ordered sets and mashes 2h Applications in informatics 2h Introduction to combinatorics counting techniques 4h Recursive functions 1h Applications in informatics 2h 1st preliminary exam 1h Dirichlet principle; Generating functions; Ramsey’s theorem 2h Boolean algebra definition and properties, Boolean functions 2h Graphs paths and cycles 2h Directed graphs 2h Graph colourings 2h Applications in informatics 2h Film: Student responsibilities Regular school attendance.

Required literature available in matsmatika library and via other media Title Number of copies in the library Availability via other media Beban Brkic, J.: Introduction to the Theory of GraphsElement, Zagreb, Quality assurance methods that ensure the acquisition of exit competences Class attendance. Studijski program preddiplomski, diplomski, integrirani.

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Uvjeti za upis predmeta i ulazne kompetencije potrebne za predmet. Dostupnost putem ostalih medija. Dopunska literatura u trenutku prijave prijedloga studijskoga programa. Study programme undergraduate, graduate, integrated.

Course enrolment requirements and entry competences required for the course. Learning outcomes at the level of the programme to which the course contributes. Understand mathematical methods and physical laws applied in geodesy and geoinformatics. Learning outcomes expected at the level of the course 4 to 10 learning outcomes. Course content broken down in detail by weekly class schedule syllabus.

Mathematical logic 2h Sets and relations 2h Ordered sets and mashes 2h Applications in informatics 2h Introduction to combinatorics counting techniques 4h Recursive functions 1h Applications in informatics 2h 1st preliminary exam 1h Dirichlet principle; Generating functions; Ramsey’s theorem 2h Boolean algebra definition and properties, Boolean functions 2h Graphs paths and cycles 2h Directed graphs 2h Graph colourings 2h Applications in informatics 2h Film: Grading and evaluating student work in class zaaci at the final exam.

Required literature available in the library and via other media. Number of copies in the library. Availability via other media. Matematikw literature at the time of submission of study programme proposal. Quality assurance methods that ensure the acquisition of exit competences.

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