Nastavni plan i program

1. semester :: specialization ::

Compulsory courses

Details

Teachers

Course

Mode L+(A+L+S+C) (H)

Ects

Code

Available in Eng. language

P:1.dr.sc. Vjeran Bušelić prof. v.šk.
S: Dinko Horvat struč.spec.ing.techn.inf.

Digital Economy

30+30 (0+0+30+0) (90)

130903

Code WEB/ISVU

30103/130903

ECTS

Academic year

2024/2025

Name

Digital Economy

Status

1st semester - Informatics (Izvanredni diplomski informatika) - obligatory course1st semester - Informatics (Izvanredni diplomski informatika (smjer računarstvo)) - obligatory course1st semester - Informatics (Redovni diplomski informatika) - obligatory course1st semester - Informatics (Redovni diplomski informatika (smjer računarstvo)) - obligatory course

Department

Područje društvenih znanosti 5.01. Ekonomija Društveni predmet (Katedra za zajedničke predmete, katedra za ekonomiju)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+30 (0+0+30+0)
90

Teachers

Lectures:1. dr.sc. Vjeran Bušelić prof. v.šk.
Seminar exercises: Dinko Horvat struč.spec.ing.techn.inf.

Course objectives

The aim of the course is to introduce students with the development of digital economy in post-industrial society

Learning outcomes:

1.Analyze the underlying concepts related to the development of the platform economy. Level:6
2.evaluate and valorize the Influence of basic digital technologies (Mobile, Social, Big Data, Cloud, IoT, ...) on the Digital Economy). Level:6,7
3.Assess the underlying factors that affect the economic trends in the post-industrial society. Level:6,7
4.Evaluate new models and forms of economic development in the post-industrial society. Level:7
5.Compare old and new factors that determine economic development in the platform economy. Level:6,7
6.identify and clarify the basic challenges of digital business transformation. Level:6,7

Methods of carrying out lectures

Ex cathedra teaching
Guest lecturer
Case studies
Modelling
Discussion
Questions and answers
Seminar, students presentation and discussion

Methods of carrying out seminars

Traditional literature analysis
Data mining and knowledge discovery on the Web
Essay writing

Course content lectures

1.Introduction, method of work and assessment, overview of the whole course., 2h, Learning outcomes:1,2,3,4,5,6
2.Industry 4.0., technological change and Megatrends., 4h, Learning outcomes:1,2,3,4,5,6
3.Digital economy and new economic models. Basic terms and concepts., 4h, Learning outcomes:1,2,3,4,5
4.New business models., 4h, Learning outcomes:1,2,5,6
5.Disruptive innovations. Artificial Intelligence., 4h, Learning outcomes:2,5,6
6.Blokchain. Internet of Things., 4h, Learning outcomes:2,5,6
7.Digital business transformation. Remaping of industry and organization., 4h, Learning outcomes:2,3,5,6
8.Designing digital organization., 4h, Learning outcomes:2,3,5,6
9.No lectures
10.No lectures
11.No lectures
12.No lectures
13.No lectures
14.No lectures
15.No lectures

Course content seminars

1.Case study from a technological and economic aspects of the digital economy: Digitization of Retail Payments and impact of transaction costs, 2h, Learning outcomes:1,2,3
2.Case study from a technological and economic aspects of the digital economy: Two sided B2B platforms , 2h, Learning outcomes:1,2,3
3.Case study from a technological and economic aspects of the digital economy: Online vs Offline competition , 2h, Learning outcomes:4,5
4.Case study from a technological and economic aspects of the digital economy: Bundling Information Goods , 2h, Learning outcomes:4,5
5.Case study from a technological and economic aspects of the digital economy: Auctions and Comparison Web Services, 2h, Learning outcomes:4,5
6.Case study from a technological and economic aspects of the digital economy: User Generated Content, 2h, Learning outcomes:4,5
7.Case study from a technological and economic aspects of the digital economy: Social Networks on the Web, 2h, Learning outcomes:4,5
8.Submission of the final seminar paper and discussion, 2h, Learning outcomes:2,3,4,5,6
9.No lectures
10.No lectures
11.No lectures
12.No lectures
13.No lectures
14.No lectures
15.No lectures

Required materials

Basic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
Video equipment

Exam literature

Peitz, Martin, and Joel Waldfogel, eds. The Oxford Handbook of the Digital Economy. Oxford University Press, 2012.
Varian, Hal R., and Carl Shapiro. "Information rules: a strategic guide to the network economy." Harvard Business School Press, Cambridge (1999).
Benkler, Yochai. The wealth of networks: How social production transforms markets and freedom. Yale University Press, 2006.
Coyle, Diane. The weightless world: strategies for managing the digital economy. Mit Press, 1999.
Negroponte, Nicholas. Being digital. Random House LLC, 1996.
Tapscott, Don, Alex Lowy, and David Ticoll. Blueprint to the Digital Economy: Creating Wealth in the Era of E-business. McGraw-Hill Professional, 1998.

Students obligations

Attendance at lectures; seminar work

Knowledge evaluation during semester

Colloquium

Knowledge evaluation after semester

Written exam

Student activities:

Aktivnost	ECTS
(Classes attendance)	1
(Constantly tested knowledge)	1
(Seminar Work)	2
(Oral exam)	1

Remark

This course can be used for final thesis theme

Proposal made by

Vjeran Bušelić, PhD

P:1.dr. sc. Sanja Bračun dipl.oec.
A:dr. sc. Sanja Bračun dipl.oec.
S:dr. sc. Sanja Bračun dipl.oec.

Asset Management

30+30 (15+0+15+0) (90)

130902

Code WEB/ISVU

30102/130902

ECTS

Academic year

2024/2025

Name

Asset Management

Status

Department

Područje društvenih znanosti 5.01. Ekonomija Stručni predmet (Katedra za zajedničke predmete, katedra za ekonomiju)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+30 (15+0+15+0)
90

Teachers

Lectures:1. dr. sc. Sanja Bračun dipl.oec.
Auditory exercises:dr. sc. Sanja Bračun dipl.oec.
Seminar exercises:dr. sc. Sanja Bračun dipl.oec.

Course objectives

As part of this course, students will understand that Asset management is not a separate business process that is carried out only in large companies, but a set of integrated information systems of any company that requires constant improvements. Students will be able to distinguish between tangible and intangible assets, describe the procurement process supported by the Supply Chain Management system, and compare the advantages and disadvantages of implementing internal and external Asset maintenance processes. At the same time, they will get an insight into all planning and investment processes in company supported by the Enterprise Resources Planning system and importance of human resources care supported by the Human Resources Management system. In that way, students will focus on critical thinking about each individual process of all assets forms managing, which will enable them to independently make the proposals for improving any of individual information subsystems as a unique integrated Asset management system within the company where they will be employed.

Learning outcomes:

1.Assess the role and place of Asset management within the business system. Level:6,7
2.Link the processes of market analysis, planning and successful Asset management . Level:6,7
3.Evaluate indicators of a Key performance indicators of Asset management during whole lifecycle. Level:6,7
4.Defend the position of the most commonly used ICT tools for Asset management . Level:7
5.Select a suggestion option for improving the Asset management process. Level:7

Involvement of learning outcomes of the course in study programme:

1.3.OPĆI Use techniques, skills and modern tools necessary for engineering practice.: 5h in 150h
1.5.OPĆI Identify, model and solve engineering problems.: 5h in 150h
1.6.OPĆI Design and conduct experiments, analyze and interpret the obtained data.: 5h in 150h

Methods of carrying out lectures

Ex cathedra teaching
Guest lecturer
Case studies
Discussion
Seminar, students presentation and discussion
Lectures are presented as combination of the theoretical frame with large number of Asset management practical cases from ICT fields. On that way students are motivated to express their critical positive or negative opinion.

Methods of carrying out auditory exercises

Group problem solving
Discussion, brainstorming
Interactive problem solving
During the auditory exercises, the students are directed to the use of individual information systems as tools for Asset Management as well as the knowledge obtained during the lectures, with the continuous teacher guidance through discussion and brainstorming during the exercises.

Methods of carrying out seminars

Group problem solving
Discussion, brainstorming
Workshop
During the seminar exercises, students independently prepare a seminar work in which they not only analyse, but also give suggestions for improving the Asset management process in the company where they are employed or which they know well.

Course content lectures

1.No lessons
2.No lessons
3.No lessons
4.No lessons
5.No lessons
6.No lessons
7.No lessons
8.Introductory lecture, 2h, Learning outcomes:1
9.Types of enterprise assets and their strategic management , 4h, Learning outcomes:1
10.Asset management implementation and their Life cycle monitoring , 4h, Learning outcomes:2
11.Property usage and maintenance, 4h, Learning outcomes:2
12.Metrics, standards and Asset management KPI's monitoring , 4h, Learning outcomes:3
13.Market analysis, segmentation and marketing processes as a tools for successful Asset management, 4h, Learning outcomes:3
14.Available data within the integrated information system for Asset management and investment study, 4h, Learning outcomes:4
15.Integrated Asset management systems and their reliability , 4h, Learning outcomes:5

Course content auditory

1.No exercise
2.No exercise
3.No exercise
4.No exercise
5.No exercise
6.No exercise
7.No exercise
8.No exercise
9.Purpose of certain types of property , 3h, Learning outcomes:1
10.Process of Asset Management Planning, 4h, Learning outcomes:2
11.Applying of Market Analysis Methods , 4h, Learning outcomes:3
12.Cost and revenue analysis and calculation of key performance indicators, 4h, Learning outcomes:3
13.No exercise
14.No exercise
15.No exercise

Course content seminars

1.No seminar exercise
2.No seminar exercise
3.No seminar exercise
4.No seminar exercise
5.No seminar exercise
6.No seminar exercise
7.No seminar exercise
8.No seminar exercise
9.No seminar exercise
10.No seminar exercise
11.No seminar exercise
12.No seminar exercise
13.Practical application of Market analysis , 5h, Learning outcomes:1,2,3
14.Faults and damage monitoring of Fixed assets during their life cycle , 5h, Learning outcomes:4,5
15.Program support and risk management methods of Asset management systems, 5h, Learning outcomes:5

Required materials

Basic: classroom, blackboard, chalk...
General purpose computer laboratory
Overhead projector
Lecture room with projector

Exam literature

Obavezna literatura:
1. dr. sc. Sanja Bračun (2024.), Aktualne elektroničke mape nastavnika pripremljene za predavanja dostupne na LMS sustavu, https://lms-2020.tvz.hr/course/view.php?id=712
2. dr. sc. Ivo Čala et all., (2016.), Održavanje i gospodarenje imovinom, Hrvatsko društvo održavatelja, Zagreb.

Preporučena literatura:
1. Juan Pablo Usuga Cadavid, (2020.), Machine learning applied in production planning and control: a stateoftheart in the era of industry 4.0, Springer.
2. G. Cheng, (2020.), Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems, ScienceDirect.
3. O. Kaganova, (2020.), An Asset Management Approach to Planning, Funding, and Managing Public Spaces, dostupan na: https://doi.org/10.1596/978-1-4648-1449-5_ch3
4. M. Stride, (2019.), The use of building information modelling by quantity surveyors in facilities management roles, dostupan na: https://www.emerald.com/insight/content/doi/10.1108/ECAM-11-2019-0660/full/html

Students obligations

50% of attendance on lessons and exercises

Knowledge evaluation during semester

Design of student’s seminar paper

Knowledge evaluation after semester

After the evaluated seminar paper, in case of failure to achieve a minimum of 60% of the results in the written exam, the student registers the date of the oral exam.

Student activities:

Aktivnost	ECTS
(Seminar Work)	2
(Oral exam)	3

Remark

This course can be used for final thesis theme

Proposal made by

dr.sc. Sanja Bračun

P:1.dr.sc. Igor Urbiha prof. struč. stud.
A:dr.sc. Igor Urbiha prof. struč. stud.

Mathematics

30+30 (30+0+0+0) (90)

130898

Code WEB/ISVU

30101/130898

ECTS

Academic year

2024/2025

Name

Mathematics

Status

Department

Područje prirodnih znanosti 1.01. Matematika Opći predmet (Katedra za zajedničke predmete, katedra za matematiku)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+30 (30+0+0+0)
90

Teachers

Lectures:1. dr.sc. Igor Urbiha prof. struč. stud.
Auditory exercises:dr.sc. Igor Urbiha prof. struč. stud.

Course objectives

To qualify students to use both a differential and integral calculus of multivariable functions

Learning outcomes:

1.functions of several variables. Level:6,7
2.continuity and limit of a function of several variables. Level:6,7
3.ability to understand the differential calculus of multivariable functions. Level:7
4.ability to understand the first and higher order partial derivatives. Level:7
5.ability to understand the tangent plane. Level:7
6.ability to understand the local extremes of more variables. Level:7
7.ability to understand the integral calculus of multivariable functions. Level:7
8.ability to understand the calculus of double integrals. Level:7
9.ability to understand the polar coordinate system in a plane. Level:7
10.ability to understand the calculus of double integration with substitution. Level:7
11.ability to understand the implementation of integrals on calculating centre of mass, static moments and centre of gravity. Level:7
12.first order linear differential equation using the variation of constants method. Level:6
13.ordinary differential equations. Level:6,7
14.ability to solve differential equations. Level:

Methods of carrying out lectures

Ex cathedra teaching
Case studies
Questions and answers
Other
auditory

Methods of carrying out auditory exercises

Other
solving examples and exercises relevant to the delivered material.

Course content lectures

1.Multivariable functions, Domain of a function of two variables, Quadric surfaces, 2h, Learning outcomes:1
Limit and continuity of multivariable functions, 2h, Learning outcomes:2
2.Partial derivatives, Schwartz`s theorem, 2h, Learning outcomes:2,3,4
Chain rule, total derivative of a function of two variables of first and second order, tangent plane., 2h, Learning outcomes:4,5
3.Local extrema of functions of several variables, conditional extrema, 2h, Learning outcomes:6
Integral calculus of functions of several variables: volume, double integral, multiple integral, 2h, Learning outcomes:7,8
4.1. exam, 2h
Computing double integral - iterated integrals, Fubini´s theorem, 2h, Learning outcomes:8
5.Polar coordinate system in plane, computing double integral using substitution (cartesian to polar coordinates), Jacobian, 2h, Learning outcomes:9,10
Application of integrals: Centroid, Centre of mass, Static moments, Moment of inertia , 2h, Learning outcomes:11
6.2. exam, 2h
Ordinary differential equations - Introduction, 2h, Learning outcomes:13
7.First Order Linear Differential Equations, the variation of constants method, 2h, Learning outcomes:12
System of linear differential equations with constant coefficients, 2h, Learning outcomes:14
8.3. exam, 2h
9.nema nastave
10.nema nastave
11.nema nastave
12.nema nastave
13.nema nastave
14.nema nastave
15.nema nastave

Course content auditory

1.Multivariable functions, Domain of a function of two variables, Quadric surfaces., 2h, Learning outcomes:1
Limit and continuity of multivariable functions, 2h, Learning outcomes:2
2.Partial derivatives, Schwartz`s theorem., 2h, Learning outcomes:2,3,4
Chain rule, total derivative of a function of two variables of first and second order, tangent plane., 2h, Learning outcomes:4,5
3.Local extrema of functions of several variables, conditional extrema., 2h, Learning outcomes:6
Integral calculus of functions of several variables: volume, double integral, multiple integral, 2h, Learning outcomes:7,8
4.1. exam, 2h
Computing multiple integral - iterated integrals, Fubini`s theorem, 2h, Learning outcomes:8
5.Polar coordinate system in plane, computing double integral using substitution (cartesian to polar coordinates), Jacobian, 2h, Learning outcomes:9,10
Application of integrals: Centroid, Centre of mass, Static moments, Moment of inertia , 2h, Learning outcomes:11
6.2. exam, 2h
Ordinary differential equations - Introduction, 2h, Learning outcomes:13
7.First Order Linear Differential Equations, the variation of constants method, 2h, Learning outcomes:12
System of linear differential equations with constant coefficients, 2h, Learning outcomes:14
8.3. exam, 2h
9.nema nastave, 2h
10.nema nastave, 2h
11.nema nastave, 2h
12.nema nastave, 2h
13.nema nastave, 2h, Learning outcomes:12
14.nema nastave, 2h
15.nema nastave, 2h

Required materials

Basic: classroom, blackboard, chalk...
Whiteboard with markers
solving examples and exercises relevant to the delivered material.

Exam literature

S. Suljagić: Matematika 2, http://www.grad.hr/nastava/matematika/
S. Kurepa, Matematička analiza III, Tehnička knjiga, Zagreb 1975.
L.Krnić, Z.Šikić: Račun diferencijalni i integralni, Školska knjiga, Zagreb, 1992.
B.P.Demidovič: Zadaci i riješeni zadaci iz više matematike s primjenom na tehničke nauke, Tehnička knjiga, 1978.

Students obligations

No special requirements.

Knowledge evaluation during semester

Exams during semester

Knowledge evaluation after semester

There are three preliminary exams (three questions each), and if a student correctly solved at least one problem of each preliminary exam and correctly solved at least four problems of all three preliminary exams, it makes the student exempt from taking the written exam.

The written part of the exam consists of five problems to be solved within 2 hours.
A student may attempt to the oral part of the exam, if he has two correctly solved problems in the written part of the exam.

Student activities:

Aktivnost	ECTS
(Written exam)	5

Remark

This course can be used for final thesis theme

Proposal made by

dr.sc. Igor Urbiha prof.vis.šk., 17.4.2014.

P:1. Vesna Alić-Kostešić dipl.ing.stroj.
A: Vesna Alić-Kostešić dipl.ing.stroj.
A: Hrvoje Rakić , dipl.ing.stroj., viši pred.

Project Management

30+30 (15+0+15+0) (90)

158110

YES

Code WEB/ISVU

30418/158110

ECTS

Academic year

2024/2025

Name

Project Management

Status

Department

Područje tehničkih znanosti 2.11. Strojarstvo Stručni predmet (Katedra za zajedničke predmete, katedra za ekonomiju)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+30 (15+0+15+0)
90

Teachers

Lectures:1. Vesna Alić-Kostešić dipl.ing.stroj.
Auditory exercises: Vesna Alić-Kostešić dipl.ing.stroj.
Auditory exercises: Hrvoje Rakić , dipl.ing.stroj., viši pred.

Course objectives

To introduce students to basic elements of management in the project based activities such as business, manufacturing and various services

Learning outcomes:

1.ability to formulate /create the project goal in accordance with the strategy of an organization. Level:6,7
2.ability to formulate/to design a project according to a strategy of an organisation. Level:
3.ability to compose a proposal of a project and a project plan in a seminar paper. Level:6,7
4.ability to control processes in a project, its scope, time, costs, quality, people, communication, risks and project procurement . Level:6,7
5.ability to estimate the project risks on a project proposal. Level:6,7
6.ability to analyse the project phases and activities the results of which contribute to the project goal. Level:6
7.ability to standardise the time and resources necessary for carrying out activities by using techniques of network planning. Level:6,7
8.abilityto plan the expenses related to carrying out the project activities. Level:6,7
9.ability to analyse a project proposal through a logical matrix. Level:6
10.ability to develop willingness for teamwork and cooperation. Level:6,7
11.ability to combine methods and procedures for making decisions. Level:6,7
12.ability to state the influence of a project product on the environment. Level:7

Involvement of learning outcomes of the course in study programme:

1.1.OPĆI Use a foreign language in literature and everyday professional communication.: 10h in 150h

Methods of carrying out lectures

Ex cathedra teaching
Case studies
Demonstration
Discussion
The whole material is presented in lectures illustrated by drawings, tables and graphs to facilitate understanding of the topic. It can be presented on OHP or in Power Point.

Methods of carrying out auditory exercises

Group problem solving
Discussion, brainstorming
Interactive problem solving
Workshop
Problems of each particular topic analysed are solved on the blackboard. After explaining and solving a problem of a topic, students are given a related one to solve it on their own but with assistance of the teacher. Using the BK technique and with assistance of their teacher, students create a smaller project.

Methods of carrying out seminars

Group problem solving
Discussion, brainstorming
Workshop
posters, markers, adhesive tape

Course content lectures

1.The nature and context of project management processes and knowledge areas, 2h, Learning outcomes:1
2.Strategy and project management, 4h, Learning outcomes:1
3.Project management and stakeholders, 2h, Learning outcomes:2
4.Appropriate project organizational structure, 2h, Learning outcomes:2
5.The initial phase of the project, 2h, Learning outcomes:3
6.Initiating and Planning Project, 3h, Learning outcomes:4
7.Preparation of project proposal, 3h, Learning outcomes:4,5,7,10
8.Planning techniques, 4h, Learning outcomes:6,7,8
9.Implementation phase of the project, 4h, Learning outcomes:7,8,9,10
10.Concluding phase and evaluation of the project, 2h, Learning outcomes:7,8,10,11,12
11.Colloquium, 2h, Learning outcomes:1,2,3,4,5,6,8,9,10,11,12
12.no classes
13.no classes
14.no classes
15.no classes

Course content auditory

1.no classes
2.no classes
3.no classes
4.no classes
5.no classes
6.no classes
7.no classes
8.exercise TMP, CPM, 4h, Learning outcomes:7
9.exercise TMP, PERT,PD, Transplan, 4h, Learning outcomes:7
10.Colloqium, 2h, Learning outcomes:7
11.no classes
12.no classes
13.no classes
14.methods of decision-making, 2h, Learning outcomes:5,6,7,9
15.methods of project cycle - logical framework, 3h, Learning outcomes:5,6,7,9,10,11,12

Course content seminars

1.no classes
2.no classes
3.no classes
4. no classes
5. no classes
6. methods for problem solving, Brainstorming, making the problem tree and objective tree, elaboration of project ideas, 4h, Learning outcomes:9,10,11,12
7.working on the papers, 1h, Learning outcomes:9,10,11,12
8.working on the papers, 1h, Learning outcomes:9,12
9.working on the papers, 1h, Learning outcomes:9,10,11,12
10.working on the papers, 1h, Learning outcomes:9,10,11,12
11.working on the papers, 1h, Learning outcomes:9,10,11,12
12.working on the papers, 1h, Learning outcomes:9,10,11,12
13.working on the papers, 1h, Learning outcomes:9,10,11,12
14.working on the papers, 1h, Learning outcomes:9,10,11,12
15.papers due, 3h, Learning outcomes:9,11,12

Required materials

Basic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
Operating supplies
posters, markers, adhesive tape

Exam literature

PMI- Vodič kroz znanje o upravljanju projektima (Vodič kroz PMBOK,4. izdanje), Mate d.o.o., Zagreb 2011.
nikolić, Čala, alić Kostešić: Metode planiranje u proizvodnji odjeće, ZS 2010.
Čala,I; i ostali autori: Inženjerski priručnik, dio 4, poglavlja 6. Planiranje i praćenje proizvodnje, Školska knjiga, Zagreb, 2002.
Vila, A; Štajdl, B; Čala, I; Karabajić, I: Metode planiranja proizvodnje, Informator, Zagreb, 1982.
Vila, A; Leicher, Z: Planiranje proizvodnje i kontrola rokova, Informator, 3. izdanje, Zagreb 1983.
Schroeder, Roger,G: Upravljanje proizvodnjom, Mate, Zagreb, 1999.
Bilješke koje nastavnik priprema za nastavu
Čala, I: «Stupnjevito planiranje», izlaganje na savjetovanju «Upravljanje proizvodnjom», CDI Zagreb, Briuni, 1989.
Dilworth,J.B.: Operations Management, Mc Grow Hill, inc., New York, 1995.
Schonberger,R.J., Knod, M.E.: Operations Management, Irwin, 1994.
Majstorović, V.: «Upravljanje Proizvodnjom i projektima» (Production and Project Management), Nakladnici Sveučilište u Mostaru i DAAAM International Vienna, Mostar-Wien 2001.

Students obligations

delivery of a seminar paper

Knowledge evaluation during semester

1.colloquim - tasks numerical type max 50 points - 30 min
2.colloquim - objective type tasks maximum 50 points - 30 min
3.seminar work max 50 points - 30 min
max total 150 points - 90 min
Points rating
0-89 inadequate
90-105 sufficient
106-120 good
121-135 very good
136-150 excellent

Knowledge evaluation after semester

written exam, seminar paper
Points rating
0-89 inadequate
90-105 sufficient
106-120 good
121-135 very good
136-150 excellent

Student activities:

Aktivnost	ECTS
(Constantly tested knowledge)	1
(Seminar Work)	2
(Written exam)	2

Remark

This course can be used for final thesis theme

ISVU equivalents:

130900;

Proposal made by

Vesna Alic Kostesic

Elective courses 0- ECTS)

Details

Teachers

Course

Mode L+(A+L+S+C) (H)

Ects

Code

Available in Eng. language

P:1. Vesna Alić-Kostešić dipl.ing.stroj.
A: Vesna Alić-Kostešić dipl.ing.stroj.

IT Systems Management

45+15 (15+0+0+0) (90)

130908

YES

Code WEB/ISVU

30107/130908

ECTS

Academic year

2024/2025

Name

IT Systems Management

Status

1st semester - Informatics (Izvanredni diplomski informatika) - elective course1st semester - Informatics (Izvanredni diplomski informatika (smjer računarstvo)) - elective course1st semester - Informatics (Redovni diplomski informatika) - elective course1st semester - Informatics (Redovni diplomski informatika (smjer računarstvo)) - elective course

Department

Područje tehničkih znanosti 2.11. Strojarstvo Stručni predmet (Katedra za aplikativne sustave)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

45+15 (15+0+0+0)
90

Teachers

Lectures:1. Vesna Alić-Kostešić dipl.ing.stroj.
Auditory exercises: Vesna Alić-Kostešić dipl.ing.stroj.

Course objectives

To transfer to students the basic knowledge related to planning, using and managing information systems

Learning outcomes:

1.ability to classify organisation structures and information systems which support their work. Level:6,7
2.ability to justify a function of an information system in regard to the part of work it supports. Level:7
3.ability to estimate the value of an information system according to key business indicators. Level:7
4.ability to support the development of an information system in an organisation in accordance with the latest trends in the fields of business and marketing. Level:7
5.ability to present methods and techniques of testing quality of a planned information system. Level:6,7
6.ability to formulate phase of the IT project. Level:6,7
7.ability to communicate ideas, especially with people who are not closely related to IT. Level:6,7
8.ability to support reaching decisions related to ethical and legal issues concerning the information technologies. Level:7
9.ability to explain the elementary regulations of the Civil obligation act and The Croatian companies act. Level:
10.ability to solve basic types of legal issues. Level:6
11.ability to sketch basic business agreements. Level:6
12.ability to fully comply with a code of business conduct . Level:

Involvement of learning outcomes of the course in study programme:

1.1.OPĆI Use a foreign language in literature and everyday professional communication.: 10h in 150h
1.3.OPĆI Use techniques, skills and modern tools necessary for engineering practice.: 10h in 150h
1.5.OPĆI Identify, model and solve engineering problems.: 10h in 150h

Methods of carrying out lectures

Ex cathedra teaching
Case studies
Discussion

Methods of carrying out auditory exercises

Group problem solving
Discussion, brainstorming
Computer simulations

Course content lectures

1.Organisation and Use of IT, 2h, Learning outcomes:1,2
2.Organisation and Use of IT, 2h, Learning outcomes:1,2
3.Management of Information Technology, 2h, Learning outcomes:3,4
4.Measuring the Value of IT, 2h, Learning outcomes:5,6
5.Colloquium, 2h, Learning outcomes:1,2,3,4,5,6
6.Global Networked Economy, 2h, Learning outcomes:7
7.Global Networked Economy, 2h, Learning outcomes:7
8.Project Management, 2h, Learning outcomes:8,9
9.Project Management, 2h, Learning outcomes:8,9
10.Project Management, 2h, Learning outcomes:8,9
11.Cooperation and communication, 2h, Learning outcomes:10
12.Cooperation and communication, 2h, Learning outcomes:10
13.Legal and ethical issues, 2h, Learning outcomes:11,12
14.Legal and ethical issues, 2h, Learning outcomes:11,12
15.Colloquium, 2h, Learning outcomes:7,8,9,10,11,12

Course content auditory

1.Information systems used in management , 1h, Learning outcomes:1
2.Information systems used in management , 1h, Learning outcomes:1
3.Typical IT functions and types of technology, 1h, Learning outcomes:2,3
4.Typical IT functions and types of technology, 1h, Learning outcomes:2,3
5.Business plans and feasibility studies , 1h, Learning outcomes:4,5
6.Business plans and feasibility studies , 1h, Learning outcomes:4,5
7.Using CRM, SCM, ERP, 1h, Learning outcomes:6
8.Using CRM, SCM, ERP, 1h, Learning outcomes:6
9.Basic techniques used in project management, 1h, Learning outcomes:7
10.Basic techniques used in project management, 1h, Learning outcomes:7
11.Communication models , 1h, Learning outcomes:8
12. Art of presenting , 1h, Learning outcomes:9
13.Copyright and special features of computer programs, 1h, Learning outcomes:10
14.Examples of software license agreement, 1h, Learning outcomes:11
15.IT innovation management, 1h, Learning outcomes:12

Required materials

Basic: classroom, blackboard, chalk...
General purpose computer laboratory
Overhead projector

Exam literature

1. EUCIP CORE LEVEL COURSE MATERIAL: P. Schgoer, R Brambilla, F. Amarilli: The All-Round IT Professional, Plan Knowelegde Area: Use and Management of Information Systems, ICS Skills, Dublin 2005.,

Students obligations

maximum of 3 absences from exercises

Knowledge evaluation during semester

Colloquim

Knowledge evaluation after semester

test paper

Student activities:

Aktivnost	ECTS
(Constantly tested knowledge)	3
(Written exam)	2

Remark

This course can be used for final thesis theme

P:1.izv. prof. dr. sc. Petar Jandrić profesor stručnog studija u trajnom zvanju
A:izv. prof. dr. sc. Petar Jandrić profesor stručnog studija u trajnom zvanju

Motivation and Team Work

30+30 (30+0+0+0) (90)

130906

Code WEB/ISVU

30105/130906

ECTS

Academic year

2024/2025

Name

Motivation and Team Work

Status

Department

Područje društvenih znanosti 5.04. Informacijske i komunikacijske znanosti Društveni predmet (Katedra za aplikativne sustave)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+30 (30+0+0+0)
90

Teachers

Lectures:1. izv. prof. dr. sc. Petar Jandrić profesor stručnog studija u trajnom zvanju
Auditory exercises:izv. prof. dr. sc. Petar Jandrić profesor stručnog studija u trajnom zvanju

Course objectives

To introduce students the basics of successful communication and develop students

Learning outcomes:

1.ability to formulate the basics of successful communication. Level:6,7
2.abilityto identify obstacles to successful communication, understanding conflicts, the basic features of group processes and rules of public presentation . Level:6
3.ability to classify techniques and skills needed for successful communication with individuals, in groups and in front of audience. Level:6,7
4.ability to devise clear expressing and active listening; to provide feedback with respect. Level:6,7
5.ability to solve communication issues and conflicts. Level:6
6.ability to present various business plans, problems and solutions. Level:6,7
7.ability to estimate the influence of gender based attitudes on work with persons of the same or opposite gender. Level:6,7
8.ability to compare the intercultural differences for better communication with people belonging to various cultures. Level:6,7
9.ability to formulate a leader's roles and functions directed towards social and emotional relations between members of a group and performance of individual and group goals . Level:6
10.ability to develop humanistic values, such as mutual responsibility, the rights to inclusion and to being accepted, expressing freely one's ideas, tolerance of the different. Level:6,7

Methods of carrying out lectures

Ex cathedra teaching
Guest lecturer
Case studies
Discussion
Questions and answers
Seminar, students presentation and discussion
Homework presentation

Methods of carrying out auditory exercises

Traditional literature analysis
Data mining and knowledge discovery on the Web
Essay writing
Discussion, brainstorming
individual work, work in pairs, in small groups and plenary

Course content lectures

1.Communication process (1)., 2h, Learning outcomes:1,10
2.Communication process (2)., 2h, Learning outcomes:1,3,10
3.Verbal Communication., 2h, Learning outcomes:2,3,4,10
4.Non-verbal Communication., 2h, Learning outcomes:2,3,10
5.Foundations of feminism., 2h, Learning outcomes:7,8,10
6.The influence of gender based opinions on work with persons of the same or the opposite gender., 2h, Learning outcomes:7,8,10
7.Foundations of multiculturalism., 2h, Learning outcomes:7,8,10
8.Intercultural differences – more successful communication with people from other cultures., 2h, Learning outcomes:7,8,10
9.Negative and positive aspects of conflict., 2h, Learning outcomes:3,4,5,10
10.Constructive and destructive interaction and communication., 2h, Learning outcomes:3,4,5,10
11.Communication in small groups., 2h, Learning outcomes:3,4,5,10
12.Communication in large groups., 2h, Learning outcomes:3,4,5,10
13.Group structure and process specificities., 2h, Learning outcomes:3,4,5,9,10
14.Public presentation (1), 2h, Learning outcomes:3,4,5,9,10
15.Public presentation (2)., 2h, Learning outcomes:3,4,5,8,9,10

Course content auditory

1.Distinguishing between a team and a working group. , 6h, Learning outcomes:1,2,5
2.Building a team. , 6h, Learning outcomes:1,2,5,8
3.Planning a team project. , 6h, Learning outcomes:1,2,3,4,5,6,7,8,9,10
4.Creating team standards., 6h, Learning outcomes:1,2,9,10
5.Leadership styles., 6h, Learning outcomes:1,4,9,10
6.No lecture.
7.No lecture.
8.No lecture.
9.No lecture.
10.No lecture.
11.No lecture.
12.No lecture.
13.No lecture.
14.No lecture.
15.No lecture.

Required materials

Basic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
individual work, work in pairs, in small groups and plenary

Exam literature

Pearson, J. C., Spitzberg, B. H. (1990). Interpersonal communication: concepts, components and contexts. Dubuque: Wm. C. Brown Publishers.
Egan, G. (1977). You and me: the skills of communicating and relating to others. Monterey: Brooks/Cole Publishing Company.
Bolton, R. (1986). People skills. New York: Touchstone.
Fisher, R., Ury, W., Patton, B. (2003). Kako do DA: do dogovora pregovorom, a ne predajom. Zagreb: Neretva.
Lucas, S. E. (1998). The art of public speaking. New York: McGraw-Hill.
Van Emden, J. I Becker, L. (2004). Presentation skills for students. London: Palgrave Macmillan.
Stewart, J. (Ed.) (1999). Bridges, not walls: a book about interpersonal communication. McGraw-Hill.
Holliday, A., Hyde, M. I Kullman, J. (2004). Intercultural communication. London: Routledge

Students obligations

maximum of 3 absences from exercises

Knowledge evaluation during semester

Redovitost pohađanja#10#10#50$Kolokvij, teorijska pitanja#3#90#50$

Knowledge evaluation after semester

oral exam

Student activities:

Aktivnost	ECTS
(Oral exam)	5

Remark

This course can be used for final thesis theme

P:1.dr.sc. Ljiljana Matuško Antonić dipl.iur.
A:dr.sc. Ljiljana Matuško Antonić dipl.iur.

Bussiness Ethics and Law

30+15 (15+0+0+0) (105)

200529

Code WEB/ISVU

30744/200529

ECTS

Academic year

2024/2025

Name

Bussiness Ethics and Law

Status

Department

Područje društvenih znanosti 5.02. Pravo Društveni predmet (Katedra za zajedničke predmete, katedra za ekonomiju)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+15 (15+0+0+0)
105

Teachers

Lectures:1. dr.sc. Ljiljana Matuško Antonić dipl.iur.
Auditory exercises:dr.sc. Ljiljana Matuško Antonić dipl.iur.

Course objectives

To introduce students to the theory of stakeholders and basics of civil law

Learning outcomes:

1.ability to standardise the notions of morals and ethics. Level:6,7
2.ability to present a theory of stakeholders . Level:6,7
3.ability to formulate the CSR as the heart of a business strategy. Level:6,7
4.ability to build ethical theories. Level:6,7
5.ability to formulate/to design a framework for understanding ethics in making decisions. Level:6,7
6.ability to standardise theOCD features. Level:6,7

Methods of carrying out lectures

Case studies
Discussion
Questions and answers
Interactive lessons

Methods of carrying out auditory exercises

Group problem solving
Discussion, brainstorming
Practice courses in real life situations

Course content lectures

1.Introduction to Civil Law, 2h, Learning outcomes:5
2.Principles of Civil Law, 2h, Learning outcomes:5
3.The subjects and objects of civil right, 2h, Learning outcomes:5
4.Introduction to the law of obligations, 2h, Learning outcomes:5
5.Subjects civil obligations relations, 2h, Learning outcomes:5
6.Objects civil obligations relations, 2h, Learning outcomes:5
7.Reinforcement of civil obligations relations, 2h, Learning outcomes:5
8.The sales contract, Services contract, 2h, Learning outcomes:5
9.Construction contract, 2h, Learning outcomes:5
10.Loan Agreement, 2h, Learning outcomes:5
11.The agency agreement, 2h, Learning outcomes:5
12.Termination of an obligation relations, 2h, Learning outcomes:5
13.Introduction to business ethics, principles, 2h, Learning outcomes:5
14.Convention on Human Rights, 2h, Learning outcomes:5
15.The right to freedom of speech, work, family life, 2h, Learning outcomes:5

Course content auditory

1.The sales contract,, 2h, Learning outcomes:5
2.Liability for defects stufft, 2h, Learning outcomes:5
3.Protection of private life, 2h, Learning outcomes:5
4.The banking secret, 2h, Learning outcomes:5
5.The responsibility of the contractor, 2h, Learning outcomes:5
6.Ineffectiveness of contract, 2h, Learning outcomes:5
7.Relatively be invalid contracts, 2h, Learning outcomes:5
8. Services contract, 2h, Learning outcomes:5
9.Construction contract, 2h, Learning outcomes:5
10.Loan Agreement, 2h, Learning outcomes:5
11.The agency agreement, 2h, Learning outcomes:5
12.Breach of contract, 2h, Learning outcomes:5
13.customer rights, 2h, Learning outcomes:5
14.Right to work, 2h, Learning outcomes:5
15.negotiations, 2h, Learning outcomes:5

Required materials

Whiteboard with markers
Overhead projector

Exam literature

Hans Jonas, The Imperative of Responsibility, The University of Chicago Press
Funky Business – Kapital pleše samo s darovitima, Kjell A. Nordström & Jonas Ridderstråle (Differo)
Etika u gospodarstvu : (religije, moral, poslovanje) / Tibor Karpati (Ekonomski fakultet u Osijeku)
Business Ethics: Readings and Cases in Corporate Morality, / W. Michael Hoffman, Robert E Frederick, Mark Schwartz (McGraw-Hill Humanities)
http://www.kurzweilai.net/
Građansko pravo: Martin Vedriš, Petar Klarić
Stvarno pravo: Nikola Gavella, Tatjana Josipović, Igor Gliha, Vlado Belaj, Zlatan Stipković

Students obligations

maximum of 3 absences from exercises

Knowledge evaluation during semester

Kolokvij#1#20#0$Usmena provjera znanja#1#80#0$

Knowledge evaluation after semester

Writing a paper on subject and exam

Student activities:

Aktivnost	ECTS
(Written exam)	3
(Classes attendance)	1
(Oral exam)	1

Remark

This course can be used for final thesis theme

ISVU equivalents:

22663;63931;63932;63933;132265;146750;

P:1. Maja Pauković dipl.oec.
L: Maja Pauković dipl.oec.

Applied Statistics

30+30 (0+30+0+0) (90)

130904

Code WEB/ISVU

30104/130904

ECTS

Academic year

2024/2025

Name

Applied Statistics

Status

Department

Područje društvenih znanosti 5.01. Ekonomija Stručni predmet (Katedra za zajedničke predmete, katedra za matematiku)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+30 (0+30+0+0)
90

Teachers

Lectures:1. Maja Pauković dipl.oec.
Laboratory exercises: Maja Pauković dipl.oec.

Course objectives

Acquiring competences for assessing future business results and trends by applying regression and trends models and the use of basic statistical measures and tests in business analyses.

Learning outcomes:

1.(eng. analyze basic statistical concepts. Level:6
2.(eng. calculate basic statistical measures). Level:6
3.(eng. evaluate basic statistical methods). Level:7
4.(eng. analyze selected regression analysis models). Level:6
5.(eng. calculate index). Level:6
6.(eng. recommend trend models). Level:7
7.(eng. put forward a hypothesis and evaluate the results of the conducted tests). Level:6,7
8.(eng. calculate and analyze the solutions obtained by the chi-square test). Level:6

Methods of carrying out lectures

Ex cathedra teaching
Case studies
Discussion
Questions and answers
auditory

Methods of carrying out laboratory exercises

Laboratory exercises on laboratory equipment
Laboratory exercises, computer simulations
Group problem solving
Interactive problem solving
In Computer laboratory

Course content lectures

1.Introductory lecture. Concept of statistics and basic concepts. Tabular and graphical presentation of statistical data., 4h, Learning outcomes:1
2.Basic statistical indicators and methods., 4h, Learning outcomes:2,3
3.Correlation and regression analysis., 4h, Learning outcomes:4
4.Preparation for the 1st colloquium, 3h, Learning outcomes:1,2,3,4
5.A simple linear regression model. Multiple linear regression model, 4h, Learning outcomes:7
6.Chi-square test - analysis of qualitative data, 4h, Learning outcomes:8
7.Basic statistical indicators of time series, 4h, Learning outcomes:5,6
8.Preparation for the 2nd colloquium, 3h, Learning outcomes:5,6,7,8
9.No class
10.No class
11.No class
12.No class
13.No class
14.No class
15.No class

Course content laboratory

1.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:1
2.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:2,3
3.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:4
4.1st colloquium, 2h, Learning outcomes:1,2,3,4
5.Practical examples and exercizes from the contents of the unit., 6h, Learning outcomes:7
6.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:8
7.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:5,6
8.2nd colloquium, 2h, Learning outcomes:5,6,7,8
9.no exercise
10.no exercise
11.no exercise
12.no exercise
13.no exercise
14.no exercise
15.no exercise

Required materials

Basic: classroom, blackboard, chalk...
General purpose computer laboratory
Whiteboard with markers
Overhead projector

Exam literature

1. K.Dumičić, V.Bahovec, M.Čižmešija, N.Kurnoga, A.Čeh Časni, S.Jakšić, I.Palić, P.Sorić, B.Žmuk, Poslovna
statistika, Element, Zagreb, 978-953-197-648-0, 2011.
2. J.Horvat, J.Mijoč, Istraživački SPaSS, Naklada Ljevak, Zagreb, 978-953-355-338-2, 2019.
3. M.Papić,Primijenjena statistika u MS Excelu, Naklada Zoro, Zagreb,978-953-298-037-0,2014
4. V.Bahovec, N.Erjavec, Uvod u ekonometrijsku analizu, Element, Zagreb,978-953-197-643-5,2009

Students obligations

50% attendance at exercises.

Knowledge evaluation during semester

Colloquium, numerical exercises
Evaluation:
89%-100%; excellent 5
76%-88%; very good4
63%-75%; good 3
50%-62%; sufficient 2

Knowledge evaluation after semester

Exam, numerical exercises
Evaluation:
89%-100%; izvrstan 5
76%-88%; vrlo dobar 4
63%-75%; dobar 3
50%-62%; dovoljan 2

Student activities:

Aktivnost	ECTS
(Classes attendance)	1
(Written exam)	1
(Activity in class)	1
(Practical work)	1
(Constantly tested knowledge)	1

Remark

This course can not be used for final thesis theme

Proposal made by

Maja Pauković, 20.06.2024.

P:1. Andor Gužvanj
A: Andor Gužvanj
L: Andor Gužvanj

Programming in Mathematical and Computational Software

0+45 (15+30+0+0) (105)

200518

Code WEB/ISVU

30743/200518

ECTS

Academic year

2024/2025

Name

Programming in Mathematical and Computational Software

Status

Department

Područje tehničkih znanosti 2.03. Elektrotehnika Stručni predmet (Katedra za programsko inženjerstvo)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

0+45 (15+30+0+0)
105

Teachers

Lectures:1. Andor Gužvanj
Auditory exercises: Andor Gužvanj
Laboratory exercises: Andor Gužvanj

Course objectives

Acquisition of basic skills in programming with a suitably selected computer mathematical tool.

Learning outcomes:

1.predict the differences and similarities of programming in high-level programming languages and scripts and languages translated into parentheses. Level:6,7
2.Calculate the values of expressions with different types of data, numerically, not numerically. Operations with Variables. Level:6,7
3.Be able to solve problems with scalar, vectors and matrices. Level:6,7
4.Application algorithms Input Exit, Scripts. Level:7
5.Create data structures and structure work:. Level:6,7
6.Write a program using symbolic math and variables, and work with them in software application. Level:6,7
7.Design solutions using object-oriented programming of objects, classes, and graphics. Level:6,7

Methods of carrying out auditory exercises

Laboratory exercises, computer simulations
Group problem solving
Traditional literature analysis
Discussion, brainstorming
Computer simulations

Methods of carrying out laboratory exercises

Laboratory exercises, computer simulations
Computer simulations
Other
Rapberry pi b+

Course content auditory

1.The basics of working with MATLAB, 1h, Learning outcomes:1
2.Numerical and non- numeric verabilible, 1h, Learning outcomes:1,2
3.Scalars, vectors and matrices, 1h, Learning outcomes:2,3
4.operations with variables, 1h, Learning outcomes:1,2,3
5.Algorithms, scripts, input and output, 1h, Learning outcomes:2,3,4
6.Control structure and structure for repetition, 1h, Learning outcomes:3,4,5
7.Data structures and work with Structures, 1h, Learning outcomes:4,5,6
8.recapitulation and work on examples, 1h, Learning outcomes:4,5,6,7
9.Symbolic mathematics - symbolic variables, 1h, Learning outcomes:4,5,6,7
10.Working with symbolic variables, 1h, Learning outcomes:4,5,6,7
11.Class objects, 1h, Learning outcomes:4,5,6,7
12.Object Programming, 1h, Learning outcomes:5,6,7
13.Objects and graphics, 1h, Learning outcomes:5,6,7
14.Programming graphic objects, 1h, Learning outcomes:5,6,7
15.recapitulation and work on examples, 1h, Learning outcomes:4,5,6,7

Course content laboratory

1.The basics of working with MATLAB, 2h, Learning outcomes:1,2,3
2.Numerical and non- numeric verabilible, 2h, Learning outcomes:1,2,3
3.Scalars, vectors and matrices, 2h, Learning outcomes:1,2,3
4.operations with variables, 2h, Learning outcomes:2,3,4
5.Algorithms, scripts, input and output, 2h, Learning outcomes:2,3,4
6.Control structure and structure for repetition, 2h, Learning outcomes:2,3,4
7.Data structures and work with Structures, 2h, Learning outcomes:3,4
8.Part time exam 1 , 2h, Learning outcomes:1,2,3,4
9.Symbolic mathematics - symbolic variables, 2h, Learning outcomes:4,5,6,7
10.Working with symbolic variables, 2h, Learning outcomes:4,5,6,7
11.Class objects, 2h, Learning outcomes:5,6,7
12.Object Programming, 2h, Learning outcomes:4,5,6,7
13.Objects and graphics, 2h, Learning outcomes:5,6,7
14.Programming graphic objects, 2h, Learning outcomes:5,6,7
15.Part time exam 2 , 2h, Learning outcomes:4,5,6,7

Required materials

General purpose computer laboratory
Whiteboard with markers
Overhead projector
Operating supplies
Special equipment
Rapberry pi B+

Exam literature

Obavezna:
1. Stormy Attaway, Matlab – A Practical Introduction to Programming and Problem Solving, Butterwonh-Heinemann 2017
2. Mikhailov, Eugeniy E- Programming with MATLAB for Scientists : A Beginner’s Introduction CRC 2018
3. J. Michael Fitzpatrick, Ákos Lédeczi -Computer Programming with MATLAB, Fitzle,2014

Izborna:
1. César Pérez López - MATLAB Graphical Programming, Apress 2014
2. Andy H. Register , A Guide to MATLAB Object-Oriented Programming, Chapman & Hall/CRC :, SCITECH Pub, 2007

Students obligations

s finished all laboratory exercises

Knowledge evaluation during semester

1st part time exam:
eliminatoran;
passage threshold: 50% of the total possible number of points;
2nd part time exam:
eliminatoran;
passage threshold: 50% of the total possible number of points.
Final score:
50% - 62% of the total number of points on colloquiums = sufficient (2)
63% - 74% of the total number of points at colloquiums = good (3)
75% - 89% of the total number of points on colloquiums = very good (4)
90% - 100% of the total number of points on colloquiums = excellent (5)

Knowledge evaluation after semester

Practical exams:
4 test dates;
passage threshold: 50% of the total possible number of points.
Grades:
Final score:
50% - 62% of the total number of points on colloquiums = sufficient (2)
63% - 74% of the total number of points at colloquiums = good (3)
75% - 89% of the total number of points on colloquiums = very good (4)
90% - 100% of the total number of points on colloquiums = excellent (5)

Student activities:

Aktivnost	ECTS
(Classes attendance)	1
(Constantly tested knowledge)	2
(Practical work)	2

Remark

This course can be used for final thesis theme

Proposal made by

Prof. dr. sc. Miroslav Slamić profesor visoke škole, 14.6.2019

P:1.Dr. sc. Aleksandar Stojanović v. pred.
L:Dr. sc. Aleksandar Stojanović v. pred.

Software Engineering and Information Systems

30+30 (0+30+0+0) (90)

186735

Code WEB/ISVU

30690/186735

ECTS

Academic year

2024/2025

Name

Software Engineering and Information Systems

Status

Department

Područje tehničkih znanosti 2.09. Računarstvo Stručni predmet (Katedra za programsko inženjerstvo)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+30 (0+30+0+0)
90

Teachers

Lectures:1. Dr. sc. Aleksandar Stojanović v. pred.
Laboratory exercises:Dr. sc. Aleksandar Stojanović v. pred.

Course objectives

To transfer to students the knowledge related to the processes of development and implementation of information systems, with the emphasis on standardised methods used in the analysis and design of systems, software design, maintenance and preparation for its implementation

Learning outcomes:

1.object oriented program design. Level:6,7
2.document data model. Level:6,7
3.relational data model. Level:6,7
4.ability to identify the basic terms, models and forms of control related to software engineering. Level:6
5.ability to present the flow of the process of software engineering. Level:6,7
6.ability to formulate/design the ways of identification and specification of requests put for a software system. Level:6,7
7.ability to relate the areas to the ways of designing software architecture. Level:6,7

Methods of carrying out lectures

Ex cathedra teaching
Case studies
Demonstration
Modelling
Discussion
Questions and answers

Methods of carrying out laboratory exercises

Laboratory exercises on laboratory equipment
Group problem solving
Essay writing
Discussion, brainstorming

Course content lectures

1.System modeling using UML diagrams, 2h, Learning outcomes:1
2.System modeling using UML diagrams, 2h, Learning outcomes:1
3.Object design, 2h, Learning outcomes:2
4.Object design, 2h, Learning outcomes:2
5.Data modeling using various data models, 2h, Learning outcomes:3
6.Data modeling, 2h, Learning outcomes:4
7.System architecture and architecture patterns, 2h, Learning outcomes:4
8.System architecture and architecture patterns, 2h, Learning outcomes:5
9.Textual data modeling, 2h, Learning outcomes:6
10.State models, 2h, Learning outcomes:6
11.State model applications, 2h, Learning outcomes:6
12.no class, 2h, Learning outcomes:6
13.no class, 2h, Learning outcomes:7
14.no class, 2h, Learning outcomes:7
15.no class, 2h, Learning outcomes:7

Course content laboratory

1.no class, 2h, Learning outcomes:1
2.no class, 2h, Learning outcomes:1
3.no class, 2h, Learning outcomes:1
4.no class, 2h, Learning outcomes:2
5.Lab assignments, 2h, Learning outcomes:2
6.Lab assignments, 2h, Learning outcomes:2
7.Lab assignments, 2h, Learning outcomes:3,4
8.Lab assignments, 2h, Learning outcomes:3,4
9.Lab assignments, 2h, Learning outcomes:3
10.Lab assignments, 2h, Learning outcomes:3
11.Lab assignments, 2h, Learning outcomes:3
12.Lab assignments, 2h, Learning outcomes:3
13.no class, 2h, Learning outcomes:1,2,3
14.no class, 2h, Learning outcomes:1,2,3
15.no class, 2h, Learning outcomes:1,2,3

Required materials

Basic: classroom, blackboard, chalk...
General purpose computer laboratory
Overhead projector

Exam literature

Basic literature:
1. Manger, R.: Softversko inženjerstvo, skripta, PMF-MO, 2013.
Additional literature:
1. Sommerville Ian: Software Engineering, 9th Edition, Pearson, 2011.
2. R. S. Pressman: Software Engineering: A Practitioners Approach 6/e, McGraw-Hil, 2005

Students obligations

maximum of 30% absences from lectures
maximum of 20% absences from exercises

Knowledge evaluation during semester

Verification of lab assignments every other week.

Grade Points
2 50 - 69
3 70 - 79
4 80 - 89
5 90+

Knowledge evaluation after semester

Student presentation: 30 pts
Practical assignments: 70 pts
Oral exam: as needed

Grade Points
2 50 - 69
3 70 - 79
4 80 - 89
5 90+

Grading requirements: signature, lab assignments

Student activities:

Aktivnost	ECTS
(Practical work)	3
(Seminar Work)	2

Remark

This course can be used for final thesis theme

Proposal made by

Aleksandar Stojanović, Ph.D.

P:1.mr. Alenka Poljičak dipl.oec., viši predavač
A:mr. Alenka Poljičak dipl.oec., viši predavač
S:mr. Alenka Poljičak dipl.oec., viši predavač

Quality Management

30+30 (15+0+15+0) (90)

130907

Code WEB/ISVU

30106/130907

ECTS

Academic year

2024/2025

Name

Quality Management

Status

Department

Područje društvenih znanosti 5.01. Ekonomija Opći predmet (Katedra za zajedničke predmete, katedra za ekonomiju)

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+30 (15+0+15+0)
90

Teachers

Lectures:1. mr. Alenka Poljičak dipl.oec., viši predavač
Auditory exercises:mr. Alenka Poljičak dipl.oec., viši predavač
Seminar exercises:mr. Alenka Poljičak dipl.oec., viši predavač

Course objectives

To transfer to students the basic knowledge related to quality management

Learning outcomes:

1.Analyse concept of quality in general and the quality of the information system. Level:6,7
2.Assess the importance of quality management for successful business.. Level:6,7
3.Formulate the characteristics of the quality of the information system. Level:6,7
4.Compare the ISO system and the TQM system.. Level:6,7
5.ability to estimate to what point the regulations and norms concerning the quality of products or services are law-abiding. Level:7
6.ability to propose the activities which will introduce advancements in the existing processes in an organisation, to increase efficiency and reduce costs. Level:6,7
7.ability to manage the quality system in a chosen model of a work organisation or institution. Level:6,7

Involvement of learning outcomes of the course in study programme:

1.1.OPĆI Use a foreign language in literature and everyday professional communication.: 30h in 150h
1.2.OPĆI Apply knowledge of mathematics and physics to engineering problems.: 30h in 150h
1.3.OPĆI Use techniques, skills and modern tools necessary for engineering practice.: 50h in 150h
1.4.OPĆI Connect the engineering activities of construction, production and marketing with the needs of users of products and services.: 70h in 150h
1.5.OPĆI Identify, model and solve engineering problems.: 50h in 150h
1.6.OPĆI Design and conduct experiments, analyze and interpret the obtained data.: 50h in 150h

Methods of carrying out lectures

Ex cathedra teaching
Guest lecturer
Case studies
Discussion
Seminar, students presentation and discussion
Homework presentation
Other
Drawings, tables and diagrams are used to facilitate understanding, as well as photographs and prepared materials used in companies.

Methods of carrying out auditory exercises

Group problem solving
Discussion, brainstorming
Workshop
Other
problems are solved with students

Methods of carrying out seminars

Data mining and knowledge discovery on the Web
Discussion, brainstorming
Workshop
Other
Student chooses an example to analyse, work on it and present for the group.

Course content lectures

1.Introduction to the course, assessment of general concepts and definitions of quality, 4h, Learning outcomes:1,2,3
2.Specifics of program support - IEEE standards, 2h, Learning outcomes:2,3
3.Systems standards, introduction to ISO 9001 Requirements for Management System, 3h, Learning outcomes:1,2,3,4,5,6,7
4.SDLC - Software Development Life Cicle, 3h, Learning outcomes:1,2,3,4,5,6,7
5.Models software quality, 3h, Learning outcomes:1,2,3,4,5,6,7
6.Quality control of the process, SWOT analysis, 5S, 3h, Learning outcomes:1,2,4
7.Method six sigma, 2h, Learning outcomes:1,2,4
8.Fishbone model, 2h, Learning outcomes:1,2,4
9.SRS - Software Requiements Specifications , 2h, Learning outcomes:1,2,3,4,5,6,7
10.Quality in procurement, 2h, Learning outcomes:1,2,3,4,5,6,7
11.Demingov PDCA model , 1h, Learning outcomes:1,2,3,4,7
12.The science of quality, 1h, Learning outcomes:1,2,3
13.TQM - Total Quality Managements, 2h, Learning outcomes:1,2,3
14.no lessons
15.no lessons

Course content auditory

1.PDCA model, 2h, Learning outcomes:1,2,5,6,7
2.Software quality attributes, 2h, Learning outcomes:1,2,5,6,7
3.Key Performance Indicators, 2h, Learning outcomes:1,2,5,6,7
4.quality plans, 2h, Learning outcomes:1,2,3,4,5,6,7
5.8D method, internal audits, 2h, Learning outcomes:1,2,3,4,5,6,7
6.Presentation of seminar papers, 5h, Learning outcomes:1,2,3,4,5,6,7
7.no excercise
8.no excercise
9.no excercise
10.no excercise
11.no excercise
12.no excercise
13.no excercise
14.no excercise
15.no excercise

Course content seminars

1.Consultation and exercises, 5h, Learning outcomes:1,2,3,4,5,6,7
2.Consultation and exercises, 5h, Learning outcomes:1,2,3,4,5,6,7
3.Consultation and exercises, 5h, Learning outcomes:1,2,3,4,5,6,7
4.no exercise
5.no exercise
6.no exercise
7.no exercise
8.no exercise
9.no exercise
10.no exercise
11.no exercise
12.no exercise
13.no exercise
14.no exercise
15.no exercise

Required materials

Basic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
Student chooses an example to analyse, work on it and present for the group.

Exam literature

Skripta sa predavanja
J.M.Juran, Quality Control Handbook, McGraw-Hill, New York, 1989.
Juran, Joseph Moses; Frank M. Gryna. 1993, 1999, Planiranje i analiza kvalitete. MATE d.o.o. Zagreb
Galin, D. Software Quality, 2018. Wiley-IEEE Press

Students obligations

Attendance of students at lectures and exercises in the amount of at least 50%
scheduled hourly rates. Preparation and presentation of the seminar paper. Joining the 1st and 2nd colloquia or
written exam.

Knowledge evaluation during semester

2 colloquia + 3rd substitute for a previously missed term or to increase the grade

Knowledge evaluation after semester

written exam

Student activities:

Aktivnost	ECTS
(Classes attendance)	1
(Seminar Work)	1
(Written exam)	3

Remark

This course can be used for final thesis theme

Proposal made by

Alenka Poljičak 21/06/2024

Elective courses 0-30 ECTS)

Details

Teachers

Course

Mode L+(A+L+S+C) (H)

Ects

Code

Available in Eng. language

P:1.dipl. ing. Ognjen Staničić v. pred.
L:dipl. ing. Ognjen Staničić v. pred.

Bridge

30+30 (0+30+0+0) (90)

171755

Code WEB/ISVU

30527/171755

ECTS

Academic year

2024/2025

Name

Bridge

Status

Department

Područje tehničkih znanosti 2.09. Računarstvo Opći predmet ()

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

30+30 (0+30+0+0)
90

Teachers

Lectures:1. dipl. ing. Ognjen Staničić v. pred.
Laboratory exercises:dipl. ing. Ognjen Staničić v. pred.

Course objectives

Introduction to Bridge. Learning basic bidding and play rules. Learning most frequently used bidding conventions. Introduction to relevant mathematical principles and card distribution probability analysis. Estimating hand value and reevaluation. Analyzing information from the play and the bidding and making conclusions.

Learning outcomes:

1.formulate basic bridge rules, bidding flow, declarer play and defense. Level:6,7
2.Analyze different hand types and the way they are bid. Level:6
3.estimate hand value based on partners hand and the bidding. Level:6,7
4.conclude card distribution and the winning move based on the probability model and available information. Level:6,7
5.compare certain lines of play based on their mathematical expectancy. Level:6,7

Methods of carrying out lectures

Ex cathedra teaching
Case studies
Demonstration
Discussion
Questions and answers
Other
Practice in the bridge club

Methods of carrying out laboratory exercises

Group problem solving
Discussion, brainstorming
Interactive problem solving
Other
Bridge base online

Course content lectures

1.Introduction to bridge, 2h, Learning outcomes:1
2.Bidding logic, 2h, Learning outcomes:1,2,3
3.Declaring basics, 2h, Learning outcomes:1,4
4.Opening leads, signals and principles in defense, 2h, Learning outcomes:1,4
5.Trump and notrump play, 2h, Learning outcomes:1,5
6.One of a suit openings, 2h, Learning outcomes:2,3
7.1NT and 2NT opening, 2h, Learning outcomes:2,3
8.2C opening, 2h, Learning outcomes:2,3
9.Preemptive bidding, 2h, Learning outcomes:2,3
10.Probabilities in bridge, 2h, Learning outcomes:4,5
11.Suit combinations, 2h, Learning outcomes:4,5
12.Takeout doubles, 2h, Learning outcomes:2,3
13.Overcalls and competitive bidding, 2h, Learning outcomes:2,3
14.Practice, 2h, Learning outcomes:4,5
15.No classes, 2h

Course content laboratory

1.No classes, 2h
2.No classes, 2h
3.No classes, 2h
4.Mini bridge, 2h, Learning outcomes:1
5.Mini bridge, 2h, Learning outcomes:1
6.One of a suit openings, 2h, Learning outcomes:2,3
7.1NT and 2NT opening, 2h, Learning outcomes:2,3
8.2C opening, 2h, Learning outcomes:2,3
9.Preemptive bidding, 2h, Learning outcomes:2,3
10.Bridge probabilities, 2h, Learning outcomes:4,5
11.Suit combinations, 2h, Learning outcomes:4,5
12.Takeout doubles, 2h, Learning outcomes:2,3
13.Overcalls and competitive bidding, 2h, Learning outcomes:2,3
14.Tournament and scoring methods, 2h, Learning outcomes:1
15.No classes, 2h

Required materials

General purpose computer laboratory
Whiteboard with markers
Overhead projector

Exam literature

1. Neven Elezović: Naučite bridž za deset dana (i deset noći), Element, Zagreb, 2004.,

Students obligations

Regular attendance

Knowledge evaluation during semester

Regular attendance, theoretical and practical exams

Knowledge evaluation after semester

Written and oral exam

Student activities:

Aktivnost	ECTS
(Classes attendance)	2
(Practical work)	2
(Constantly tested knowledge)	1

Remark

This course can be used for final thesis theme

Proposal made by

dipl. ing. Ognjen Staničić , 6.6.2017

P: Vesna Alić-Kostešić dipl.ing.stroj.
P: Goran Belamarić viši predavač
P:dr.sc. Vjeran Bušelić prof. v.šk.
P:doc.dr.sc. Davor Cafuta
P:dr. sc. Roman Domović , prof.
P:doc. dr. sc. Darko Galinec , prof. struč. stud.
P:izv. prof. dr. sc. Petar Jandrić profesor stručnog studija u trajnom zvanju
P:Izv. prof. dr. sc. Goran Klepac Goran Klepac Prof. v.š., Viši znanstveni suradnik
P:mr.sc. Sergej Lugović MBA
P: Nikola Majstorović dipl.ing.
P:prof.dr.sc. Vladimir Mateljan
P: Marijan Matić dipl.ing.
P: Vedrana Novinc
P:prof.dr.sc. Klaudio Pap redoviti profesor u trajnom zvanju
P: Zorko Petruša
P:doc.dr.sc. Aleksander Radovan , prof. struč. stud., dipl.ing.
P:dr.sc. Igor Urbiha prof. struč. stud.
P:dr.sc. Predrag Valožić prof. vis. šk. u mirovini
P: Željana Vučina
P:mr.sc. Marinko Žagar viši predavač
P:mr.sc. Dubravko Žigman viši predavač
P:dr.sc. Vilko Žiljak
P:Prof. dr. sc. Jana Žiljak Gršić
A:dr.sc. Vjeran Bušelić prof. v.šk.

Seminar Paper

60+60 (60+0+0+0) (240)

22533

Code WEB/ISVU

30048/22533

ECTS

Academic year

2024/2025

Name

Seminar Paper

Status

Department

Teaching mode

Lectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home

60+60 (60+0+0+0)
240

Teachers

Lectures: Vesna Alić-Kostešić dipl.ing.stroj.
Lectures: Goran Belamarić viši predavač
Lectures:dr.sc. Vjeran Bušelić prof. v.šk.
Lectures:doc.dr.sc. Davor Cafuta
Lectures:dr. sc. Roman Domović , prof.
Lectures:doc. dr. sc. Darko Galinec , prof. struč. stud.
Lectures:izv. prof. dr. sc. Petar Jandrić profesor stručnog studija u trajnom zvanju
Lectures:Izv. prof. dr. sc. Goran Klepac Goran Klepac Prof. v.š., Viši znanstveni suradnik
Lectures:mr.sc. Sergej Lugović MBA
Lectures: Nikola Majstorović dipl.ing.
Lectures:prof.dr.sc. Vladimir Mateljan
Lectures: Marijan Matić dipl.ing.
Lectures: Vedrana Novinc
Lectures:prof.dr.sc. Klaudio Pap redoviti profesor u trajnom zvanju
Lectures: Zorko Petruša
Lectures:doc.dr.sc. Aleksander Radovan , prof. struč. stud., dipl.ing.
Lectures:Prof. dr. sc. Miroslav Slamić profesor visoke škole
Lectures:dr.sc. Igor Urbiha prof. struč. stud.
Lectures:dr.sc. Predrag Valožić prof. vis. šk. u mirovini
Lectures: Željana Vučina
Lectures:mr.sc. Marinko Žagar viši predavač
Lectures:mr.sc. Dubravko Žigman viši predavač
Lectures:dr.sc. Vilko Žiljak
Lectures:Prof. dr. sc. Jana Žiljak Gršić
Auditory exercises:dr.sc. Vjeran Bušelić prof. v.šk.

Course objectives

To qualify students to design functional Web services applications in the open source environment (Apache,MySQL,PhP).

Learning outcomes:

1.ability to organise groups of data into functional sets. Level:6,7
2.ability to compose the XML data schemes and the XML configuration files. Level:6,7
3.ability to devise a model of using configuration files to develop Web services in the open source environment. Level:6,7
4.ability to develop a web service operations in the open source environment. Level:6,7
5.ability to control a web service configuration by using PHP tools. Level:6,7
6.ability to prepare a dynamic wsdl document. Level:6,7
7.ability to connect public Web services. Level:6,7

Methods of carrying out lectures

Ex cathedra teaching
Case studies
Simulations
Modelling
Discussion
Questions and answers
Seminar, students presentation and discussion
Homework presentation

Methods of carrying out auditory exercises

Laboratory exercises, computer simulations
Group problem solving
Discussion, brainstorming
Computer simulations
Workshop

Course content lectures

1.Introductory lecture and teach students about the responsibilities and teaching materials., 2h, Learning outcomes:1
2.Introduction to XML (EXtensible Markup Language) standards and syntax of XML documents, preparation of an XML document by the W3C rules., 2h, Learning outcomes:2
3.Architecture and publishing of XML documents, XML Schema, XML transformations, and for what they are used., 2h, Learning outcomes:2
4.Students will repeat / learn how it works XML Schema and what is it, and who are writing the rules of XML syntax Scheme., 2h, Learning outcomes:3
5.A client-server architecture, the characteristics of the client and the server, Apache Web server and how it works., 2h, Learning outcomes:3
6.Introduction to PHP scripting language, server side web applications., 2h, Learning outcomes:4
7.Theoretical basics of HTML (HyperText Markup Language) and CSS (Cascading Style Sheets), spelling and structure of an HTML document, 2h, Learning outcomes:4
8.The integration of HTML and CSS documents, page layout using CSS., 2h, Learning outcomes:5
9.PHP (Hypertext Preprocessor) syntax and its application, the PHP variables and labeling rules., 2h, Learning outcomes:5
10.Functionality and application of the loop in the programming environment, data fields, require and include commands., 2h, Learning outcomes:6
11.MySQL database, its application and what they do. Examples of how to create a relational database., 2h, Learning outcomes:6,7
12.Connecting PHP scripting language with the database, query the database and display the search results. Enter, change, and delete data from the database through the form., 2h, Learning outcomes:6,7
13.Presentation of students on independent projects., 2h, Learning outcomes:6,7
14.Repeat the key elements of the material, preparing for the exam., 2h
15.Examination of theory, XML, XML Schema, HTML, CSS, PHP (syntax, data types, data fields, loops), MySQL database, SQL queries to the database., 2h

Course content auditory

1.Introductory exercises teach students about the duties and educational materials, and prepares the computer to work with the scripting language., 2h, Learning outcomes:2
2.Creating an XML (EXtensible Markup Language) file using a text editor Notepad + +, 2h, Learning outcomes:2
3.Creating XML files and XML Schema using a text editor Notepad + +, linking documents and validation., 2h, Learning outcomes:2
4.Creating a WSDL (Web Services Description Language) documents based on XML rules of writing, 2h, Learning outcomes:2
5.Installing Virtual Server on the computer, learning about their work environment. It takes practice to install Apache, MySQL database and FTP client., 2h, Learning outcomes:2
6.Creating forms using a text editor. Check dunkcionalnosti for HTTP POST and GET. Solving problems with the forms and print text on the screen. Work on the local computer with virtual services in the open source environment, 2h, Learning outcomes:2
7.Introducing the virtual environment Xampp applications, run applications required for operation of the virtual server, solving tasks., 2h, Learning outcomes:2
8.Repetition of knowledge and development of Internet sites on a virtual server using HTML markup text, forms, CSS and getting to know the scripting language PHP, 2h, Learning outcomes:2
9.Solving problems using PHP syntax, PHP variables and labeling rules in HTML, 2h, Learning outcomes:2
10.Solving problems in PHP, data types, strings, use operators and loops., 2h, Learning outcomes:2
11.Applying different loop in PHP programming environment, working with data fields, require and include commands., 2h, Learning outcomes:2
12.Using MySql database, creating databases, tables, fields in the table, define the fields, their values, the determination of the primary and secondary key., 2h, Learning outcomes:2
13.Connecting to MySQL database with the programming code in PHP, and the appointment of a query to the database, print the data from the database to display the user, making the frontend and backend interfaces., 2h, Learning outcomes:2
14.Repeat acquired knowledge, linking HTML, CSS, PHP, MySQL, XML into a single unit. Solving the task within the frontend and backend interfaces for data input via a form and upload the XML file and import the contents of an XML file into the database via the web interface., 2h, Learning outcomes:2
15.Examination of HTML, CSS, PHP (syntax, data types, data fields, loops), MySQL database, SQL queries to the database, XML., 2h, Learning outcomes:2

Required materials

Special purpose computer laboratory
Overhead projector
Tools
XAMPP application

Exam literature

Šimec, Alen; Programiranje i optimizacija Internet stranica u HTML5 okruženju; Tehničko veleučilište u Zagrebu; 2015;
Šimec, Alen; Uvod u HTML, XHTML i CSS; Tehničko veleučilište u Zagrebu; 2011;
W3C preporuka; Extensible Markup Language (XML) (www.w3c.org);
W3Schools Online Web Tutorials (www.w3schools.com);
Fawcett J., Ayers D., Quin L. R. E., Beginning XML, 5th Edition, John Wiley Sons, 2012.;
Simon St. Laurent, Michael Fitzgerald; XML Pocket Reference, 3rd Edition; OReilly Media; 2005.
Doug Tidwell; XSLT, 2nd Edition; OReilly Media; 2008.
Priscilla Walmsley; XQuery, Search Across a Variety of XML Data; OReilly Media; 2007.
XML.com, OReilly, www.xml.com;
Holzner S., Inside XML, Pearson Education, 2000;
Ray E.T., Learning XML, 2nd edition, OReilly, 2003;

Students obligations

Attendance and active participation in lectures 5 points
Attendance and active participation in training 5 points
Essay and project 15 points
Creating an independent project 25 points

Knowledge evaluation during semester

1st Colloquium (theory and tasks) 25 points
2nd Colloquium (theory and tasks) 25 points

Knowledge evaluation after semester

Written exam 100 points

Student activities:

Aktivnost	ECTS
(Written exam)	3
(Project)	2
(Seminar Work)	1
(Project)	6

Remark

This course can be used for final thesis theme

Proposal made by

Alen Šimec, Ph.D., Ph.D. Aleksander Radovan, prof.v.š., dipl. ing.

Graduate Professional Study in Informatics :: 2024/2025

1. semester :: specialization ::

Compulsory courses

Elective courses 0- ECTS)

Elective courses 0-30 ECTS)