1. semester :: specialization :: 0

Compulsory courses

DetailsTeachersCourseMode L+(A+L+S+C) (H)EctsCode
+P:dr.sc. Vjeran Bušelić prof. v.šk.
S: Dinko Horvat struč.spec.ing.techn.inf.
S:mag.oec Kristina Perec
Digital Economy30+30 (0+0+30+0) (90)5130903
Code WEB/ISVU25328/130903ECTS5Academic year2020/2021
NameDigital Economy
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - obligatory course
DepartmentPodručje društvenih znanosti 5.01. Ekonomija Društveni predmet (Katedra za zajedničke predmete, katedra za ekonomiju)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (0+0+30+0)
90
TeachersLectures:dr.sc. Vjeran Bušelić prof. v.šk.
Seminar exercises: Dinko Horvat struč.spec.ing.techn.inf.
Seminar exercises:mag.oec Kristina Perec
Course objectivesThe 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 lecturesEx cathedra teaching
Guest lecturer
Case studies
Modelling
Discussion
Questions and answers
Seminar, students presentation and discussion
Methods of carrying out seminarsTraditional literature analysis
Data mining and knowledge discovery on the Web
Essay writing
Course content lectures1.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 seminars1.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 materialsBasic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
Video equipment
Exam literaturePeitz, 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 obligationsAttendance at lectures; seminar work
Knowledge evaluation during semesterColloquium
Knowledge evaluation after semesterWritten exam
Student activities:
AktivnostECTS
(Classes attendance)1
(Constantly tested knowledge)1
(Seminar Work)2
(Oral exam)1
RemarkThis course can be used for final thesis theme
Proposal made byVjeran Bušelić, PhD
+P:dr. sc. Sanja Bračun dipl.oec.
A:dr. sc. Sanja Bračun dipl.oec.
S:dr. sc. Sanja Bračun dipl.oec.
Asset Management30+30 (15+0+15+0) (90)5130902
Code WEB/ISVU25327/130902ECTS5Academic year2020/2021
NameAsset Management
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - obligatory course
DepartmentPodručje društvenih znanosti 5.01. Ekonomija Stručni predmet (Katedra za zajedničke predmete, katedra za ekonomiju)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (15+0+15+0)
90
TeachersLectures:dr. sc. Sanja Bračun dipl.oec.
Auditory exercises:dr. sc. Sanja Bračun dipl.oec.
Seminar exercises:dr. sc. Sanja Bračun dipl.oec.
Course objectivesTo empower a student to understand that Asset management is not a separate business process reserved only for large business systems, but an integrated part of any business system that requires constant improvements. The student will be able to distinguish tangible from intangible assets, describe the procurement process and compare the advantages and disadvantages of conducting internal and outsourced maintenance of assets. They will also gain insight into the processes of planning, investing and taking care for human resources. In this way, the student will be focused on critical thinking regarding each of Asset management processes, which will enable him to independently suggest and write a list of proposals for improving the Asset management process within the company where he is employed or who is familiar to him.
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 tools of the Asset management system. 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 Koristiti tehnike, vještine i suvremene alate neophodne za inženjersku praksu.: 5h in 150h
1.5.OPĆI Identificirati, modelirati i rješavati inženjerske probleme.: 5h in 150h
1.6.OPĆI Osmišljavati i provoditi pokuse, analizirati i interpretirati dobivene podatke.: 5h in 150h
2.1.OSOBNE Znanje o suvremenim pitanjima struke i društva.: 5h in 150h
2.3.OSOBNE Etički i moralni pristup radu.: 5h in 150h
2.4.OSOBNE Kritička evaluacija argumenata, pretpostavki i podataka u cilju stvaranja mišljenja i pridonošenja rješenju problema.: 5h in 150h
2.6.OSOBNE Iskustva rada u projektnim timovima i industriji.: 10h in 150h
2.7.OSOBNE Predstavljanje informacija, ideja, problema i rješenja stručnoj i općoj publici.: 5h in 150h
2.12.OSOBNE Fleksibilnost i prilagodljivost u iznalaženju tehničkih rješenja uz neupitno poštivanje temeljnih etičkih načela, pravnih normi i pravila struke.: 5h in 150h
3.1.SPECINF Razumijevati mjesto i ulogu IT u kontekstu organizacije, menedžmenta i poslovnih procesa.: 20h in 150h
3.2.SPECINF Razumijevati domenu inženjerstva i tehnologija sukladno stupnju obrazovanja: 20h in 150h
3.3.SPECINF Povezati relevantne specifične discipline kao što su informacijsko-računarsko inženjerstvo i tehnologije u poslovnom okruženju: 20h in 150h
3.4.SPECINF Upotrijebiti stečena znanja za samostalno usvajanje novih znanja: 20h in 150h
3.5.SPECINF Realizirati kritičko razmišljanje te logičko stvaranje mišljenja u poslovnim i inženjerskim procesima: 20h in 150h
Methods of carrying out lecturesEx 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. The students are motivated to express their own either positive or negative opinions.
Methods of carrying out auditory exercisesGroup problem solving
Discussion, brainstorming
Interactive problem solving
During the auditory exercises, students are directed to use the tools and knowledge gained during the lecture, with continuous teacher guidance through discussion and brainstorming during exercises.
Methods of carrying out seminarsGroup problem solving
Discussion, brainstorming
Workshop
During the seminar exercises, students independently write a seminar paper in which they not only analyze, but also give suggestions for improving the Asset management process in the company where they are employed or which they know well.
Course content lectures1.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.Investment study and integrated Asset Management, 4h, Learning outcomes:4
15.Asset management tools and system reliability, 4h, Learning outcomes:5
Course content auditory1.No exercise
2.No exercise
3.No exercise
4.No exercise
5.No exercise
6.No exercise
7.No exercise
8.No exercise
9.Type and 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 seminars1.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 materialsBasic: classroom, blackboard, chalk...
General purpose computer laboratory
Overhead projector
Exam literatureObavezna literatura:
1.prof. dr. sc. Ivo Čala i ostali: Održavanje i gospodarenje imovinom, Hrvatsko društvo održavatelja, Zagreb, 2016.
2.dr. sc. Sanja Bračun: Aktualne elektroničke mape nastavnika pripremljene za predavanja dostupne na LMS sustavu, https://lms.tvz.hr/course/view.php?id=32
Students obligations70% of attendance on lessons and exercises
Knowledge evaluation during semesterSeminar
Knowledge evaluation after semesterAfter the graded seminar paper, the student applies the oral exam
Student activities:
AktivnostECTS
(Seminar Work)2
(Oral exam)3
RemarkThis course can be used for final thesis theme
Proposal made bydr.sc. Sanja Bračun
+P:1.dr.sc. Igor Urbiha prof.vis.šk.
A:dr.sc. Igor Urbiha prof.vis.šk.
Mathematics30+30 (30+0+0+0) (90)5130898
Code WEB/ISVU25326/130898ECTS5Academic year2020/2021
NameMathematics
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - obligatory course
DepartmentPodručje prirodnih znanosti 1.01. Matematika Opći predmet (Katedra za zajedničke predmete, katedra za matematiku)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (30+0+0+0)
90
TeachersLectures:1. dr.sc. Igor Urbiha prof.vis.šk.
Auditory exercises:dr.sc. Igor Urbiha prof.vis.šk.
Course objectivesTo 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 lecturesEx cathedra teaching
Case studies
Questions and answers
Other
auditory
Methods of carrying out auditory exercisesOther
solving examples and exercises relevant to the delivered material.
Course content lectures1.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, Schwartzs 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, Fubinis 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 auditory1.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, Schwartzs 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, Fubinis 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 materialsBasic: classroom, blackboard, chalk...
Whiteboard with markers
solving examples and exercises relevant to the delivered material.
Exam literatureS. 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 obligationsNo special requirements.
Knowledge evaluation during semesterExams during semester
Knowledge evaluation after semesterThere 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:
AktivnostECTS
(Written exam)5
RemarkThis course can be used for final thesis theme
Proposal made bydr.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., pred.
S: Vida Senci
Project Management30+30 (15+0+15+0) (90)5158110
Code WEB/ISVU26577/158110ECTS5Academic year2020/2021
NameProject Management
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - obligatory course
DepartmentPodručje tehničkih znanosti 2.11. Strojarstvo Stručni predmet (Katedra za zajedničke predmete, katedra za ekonomiju)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (15+0+15+0)
90
TeachersLectures:1. Vesna Alić-Kostešić dipl.ing.stroj.
Auditory exercises: Vesna Alić-Kostešić dipl.ing.stroj.
Auditory exercises: Hrvoje Rakić , dipl.ing.stroj., pred.
Seminar exercises: Vida Senci
Course objectivesTo 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 Služiti se stranim jezikom u literaturi i svakodnevnoj stručnoj komunikaciji. : 10h in 150h
2.1.OSOBNE Znanje o suvremenim pitanjima struke i društva.: 10h in 150h
2.2.OSOBNE Odgovornost, dosljednost, točnost, ažurnost.: 10h in 150h
2.3.OSOBNE Etički i moralni pristup radu.: 10h in 150h
2.4.OSOBNE Kritička evaluacija argumenata, pretpostavki i podataka u cilju stvaranja mišljenja i pridonošenja rješenju problema.: 20h in 150h
2.6.OSOBNE Iskustva rada u projektnim timovima i industriji.: 20h in 150h
2.7.OSOBNE Predstavljanje informacija, ideja, problema i rješenja stručnoj i općoj publici.: 20h in 150h
2.8.OSOBNE Komunikacijske vještine u okviru struke te s klijentima, na hrvatskom i engleskom jeziku.: 10h in 150h
2.12.OSOBNE Fleksibilnost i prilagodljivost u iznalaženju tehničkih rješenja uz neupitno poštivanje temeljnih etičkih načela, pravnih normi i pravila struke.: 10h in 150h
3.5.SPECINF Realizirati kritičko razmišljanje te logičko stvaranje mišljenja u poslovnim i inženjerskim procesima: 10h in 150h
5.3.E-poslovanje Primijeniti formalne metode na analizu zahtjeva kod projektiranja poslovnih informacijskih sustava : 10h in 150h
6.4.E-uprava Primijeniti formalne metode na analizu zahtjeva kod projektiranja komponenti informacijskih sustava i podsustava uprave: 10h in 150h
Methods of carrying out lecturesEx 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 exercisesGroup 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 seminarsGroup problem solving
Discussion, brainstorming
Workshop
posters, markers, adhesive tape
Course content lectures1.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 auditory1.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, PERTH,PD, 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 seminars1.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 materialsBasic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
Operating supplies
posters, markers, adhesive tape
Exam literaturePMI- 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 obligationsdelivery of a seminar paper
Knowledge evaluation during semester1.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 semesterwritten exam, seminar paper
Points rating
0-89 inadequate
90-105 sufficient
106-120 good
121-135 very good
136-150 excellent
Student activities:
AktivnostECTS
(Constantly tested knowledge)1
(Seminar Work)2
(Written exam)2
RemarkThis course can be used for final thesis theme
ISVU equivalents:130900;
Proposal made byVesna Alic Kostesic

Elective courses 0- ECTS)

DetailsTeachersCourseMode L+(A+L+S+C) (H)EctsCode
+P: Vesna Alić-Kostešić dipl.ing.stroj.
A: Vesna Alić-Kostešić dipl.ing.stroj.
IT Systems Management45+15 (15+0+0+0) (90)5130908
Code WEB/ISVU25332/130908ECTS5Academic year2020/2021
NameIT Systems Management
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - elective course
DepartmentPodručje tehničkih znanosti 2.11. Strojarstvo Stručni predmet (Katedra za aplikativne sustave)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
45+15 (15+0+0+0)
90
TeachersLectures: Vesna Alić-Kostešić dipl.ing.stroj.
Auditory exercises: Vesna Alić-Kostešić dipl.ing.stroj.
Course objectivesTo 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 Služiti se stranim jezikom u literaturi i svakodnevnoj stručnoj komunikaciji. : 10h in 150h
1.3.OPĆI Koristiti tehnike, vještine i suvremene alate neophodne za inženjersku praksu.: 10h in 150h
1.5.OPĆI Identificirati, modelirati i rješavati inženjerske probleme.: 10h in 150h
2.1.OSOBNE Znanje o suvremenim pitanjima struke i društva.: 10h in 150h
2.3.OSOBNE Etički i moralni pristup radu.: 10h in 150h
2.4.OSOBNE Kritička evaluacija argumenata, pretpostavki i podataka u cilju stvaranja mišljenja i pridonošenja rješenju problema.: 10h in 150h
2.7.OSOBNE Predstavljanje informacija, ideja, problema i rješenja stručnoj i općoj publici.: 10h in 150h
2.8.OSOBNE Komunikacijske vještine u okviru struke te s klijentima, na hrvatskom i engleskom jeziku.: 10h in 150h
2.11.OSOBNE Otvorenost za nova znanja, iskustva i kulturne okolnosti.: 10h in 150h
3.1.SPECINF Razumijevati mjesto i ulogu IT u kontekstu organizacije, menedžmenta i poslovnih procesa.: 50h in 150h
3.3.SPECINF Povezati relevantne specifične discipline kao što su informacijsko-računarsko inženjerstvo i tehnologije u poslovnom okruženju: 10h in 150h
Methods of carrying out lecturesEx cathedra teaching
Case studies
Discussion
Methods of carrying out auditory exercisesGroup problem solving
Discussion, brainstorming
Computer simulations
Course content lectures1.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 auditory1.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 materialsBasic: classroom, blackboard, chalk...
General purpose computer laboratory
Overhead projector
Exam literature1. 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 obligationsmaximum of 3 absences from exercises
Knowledge evaluation during semesterColloquim
Knowledge evaluation after semestertest paper
Student activities:
AktivnostECTS
(Constantly tested knowledge)3
(Written exam)2
RemarkThis course can be used for final thesis theme
+P:1.izv. prof. dr. sc. Petar Jandrić prof. v. šk.
A:izv. prof. dr. sc. Petar Jandrić prof. v. šk.
Motivation and Team Work30+30 (30+0+0+0) (90)5130906
Code WEB/ISVU25330/130906ECTS5Academic year2020/2021
NameMotivation and Team Work
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - elective course
DepartmentPodručje društvenih znanosti 5.04. Informacijske i komunikacijske znanosti Društveni predmet (Katedra za aplikativne sustave)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (30+0+0+0)
90
TeachersLectures:1. izv. prof. dr. sc. Petar Jandrić prof. v. šk.
Auditory exercises:izv. prof. dr. sc. Petar Jandrić prof. v. šk.
Course objectivesTo 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 lecturesEx cathedra teaching
Guest lecturer
Case studies
Discussion
Questions and answers
Seminar, students presentation and discussion
Homework presentation
Methods of carrying out auditory exercisesTraditional 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 lectures1.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 auditory1.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 materialsBasic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
individual work, work in pairs, in small groups and plenary
Exam literaturePearson, 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 obligationsmaximum of 3 absences from exercises
Knowledge evaluation during semesterRedovitost pohaa#10#10#50$Kolokvij, teorijska pitanja#3#90#50$
Knowledge evaluation after semesteroral exam
Student activities:
AktivnostECTS
(Oral exam)5
RemarkThis 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 Law30+15 (15+0+0+0) (105)5200529
Code WEB/ISVU25625/200529ECTS5Academic year2020/2021
NameBussiness Ethics and Law
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - elective course
DepartmentPodručje društvenih znanosti 5.02. Pravo Društveni predmet (Katedra za zajedničke predmete, katedra za ekonomiju)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+15 (15+0+0+0)
105
TeachersLectures:1. dr.sc. Ljiljana Matuško Antonić dipl.iur.
Auditory exercises:dr.sc. Ljiljana Matuško Antonić dipl.iur.
Course objectivesTo 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 lecturesCase studies
Discussion
Questions and answers
Interactive lessons
Methods of carrying out auditory exercisesGroup problem solving
Discussion, brainstorming
Practice courses in real life situations
Course content lectures1.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 auditory1.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 materialsWhiteboard with markers
Overhead projector
Exam literatureHans Jonas, The Imperative of Responsibility, The University of Chicago Press
Funky Business Kapital pleše samo s darovitima, Kjell A. Nordstrm Jonas Ridderstr#229;le (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 obligationsmaximum of 3 absences from exercises
Knowledge evaluation during semesterKolokvij#1#20#0$Usmena provjera znanja#1#80#0$
Knowledge evaluation after semesterWriting a paper on subject and exam
Student activities:
AktivnostECTS
(Written exam)3
(Classes attendance)1
(Oral exam)1
RemarkThis course can be used for final thesis theme
ISVU equivalents:22663;63931;63932;63933;132265;146750;
+P: Maja Pauković dipl.oec.
L: Maja Pauković dipl.oec.
Applied Statistics30+30 (0+30+0+0) (90)5130904
Code WEB/ISVU25329/130904ECTS5Academic year2020/2021
NameApplied Statistics
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - elective course
DepartmentPodručje društvenih znanosti 5.01. Ekonomija Stručni predmet (Katedra za zajedničke predmete, katedra za matematiku)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (0+30+0+0)
90
TeachersLectures: Maja Pauković dipl.oec.
Laboratory exercises: Maja Pauković dipl.oec.
Course objectivesTo teach students how to think in a probabilistic way
Learning outcomes:1.Comparing the differences and limitations of the data, depending on the measuring scale and distribution as well as an understanding of the distribution parameters.. Level:6,7
2.Analyze the differences between dependent and independent samples; the ability to identify a linear connection between two continuous variables. Level:6
3.define bivariate data; define a scatterplot; define the difference between linear and nonlinear dependence; recognize the negative connection from the scatterplot; define the meaning of the Pearson correlation coefficient; identify the perfect linear dependence; recognize non-linear association of two variables. Level:6,7
4.examine the conditions for the implementation of linear regression and interpretation of regression coefficients; least square method. Level:6,7
5.analyze and understand the proportions and frequencies, and creating contingency tables. Level:6
6. formulate a multiple regression; interpretation of the coefficients in the multiple regression and the comparison of the two models in a multiple regression. Level:6,7
7.select the significant variables in the regression model; understanding coefficient R2 of the final model. Level:7
8.testing assumptions for analysis of variance. Level:7
Methods of carrying out lecturesEx cathedra teaching
Case studies
Discussion
Questions and answers
auditory
Methods of carrying out laboratory exercisesLaboratory exercises on laboratory equipment
Laboratory exercises, computer simulations
Group problem solving
Traditional literature analysis
Data mining and knowledge discovery on the Web
Interactive problem solving
In Computer laboratory
Course content lectures1.Measuring scales and distribution of some random variables with parameters that define them. Basics transformation of variables, Z - score., 2h, Learning outcomes:1
2.Statistical inference on two samples; comparisons of mean and variance. Testing the difference between means two samples - dependent and independent samples., 4h, Learning outcomes:2
3.Measures of association between two variables - correlation. Introduction to bivariate data and association (correlation)-, 4h, Learning outcomes:3
4.Simple linear regression - Introduction and prerequisites for conducting the analysis; test of homogeneity of variance, independence of observations; influential observations. Evaluation of the regression model - standardized regression coefficient; standardized regression coefficient., 3h, Learning outcomes:4
colloquium, 1h, Learning outcomes:1,2,3,4
5.Analysis of ordinal and nominal variables. Analysis kontingencijke table - speed Association - Chi Square test as a replacement for Fisher, 4h, Learning outcomes:5
6.Multiple regression. Parameter estimation method of least squares. Significance of regression coefficient. Confidence interval regression analysis., 4h, Learning outcomes:6
7.Evaluation of the regression model. Analysis of residuals and influential observations. The selection of variables in the final model. Comparison of the two models. R2, the percentage of variability previously explained, the meaning of standardized and non-standardized regression coefficients; Venn diagram; standard, sequential and stepwise regression., 4h, Learning outcomes:7
8.Analysis of variance - ANOVA. Testing assumptions. Welch ANOVA / regular ANOVA. The one-factor analysis of variance and viefektorska. The ratio of variance F test., 4h, Learning outcomes:8
9.colloqium, 1h, Learning outcomes:5,6,7,8
10.No class
11.No class
12.No class
13.No class
14.No class
15.No class
Course content laboratory1.Practical examples and exercizes from the contents of the unit., 2h, Learning outcomes:1
2.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:2
3.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:3
4.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:4
5.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:5
6.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:6
7.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:7
8.Practical examples and exercizes from the contents of the unit., 4h, Learning outcomes:8
9.no exercise
10.no exercise
11.no exercise
12.no exercise
13.no exercise
14.no exercise
15.no exercise
Required materialsBasic: classroom, blackboard, chalk...
General purpose computer laboratory
Overhead projector
Special equipment
R software
Exam literatureObavezna
1. Walpole, Myres, Myers and Ye Probability and statistics for engineers and scientistc Prantice Hall

Dopunska
2. Use R! Springer
Students obligationsmaximum of 3 absences from exercises
Knowledge evaluation during semesterMid-term, numerical exercises, max. 100 points
evaluation:
91-100, excellent 5
81-90, very good 4
71-80, good 3
61-70, sufficient 2
Knowledge evaluation after semesternumerical exercises, max. 100 points
evaluation:
91-100, excellent 5
81-90, very good 4
71-80, good 3
61-70, sufficient 2
Student activities:
AktivnostECTS
(Written exam)5
RemarkThis course can not be used for final thesis theme
Proposal made byAndreja Radović, 15th of July 2014
+P:1. Goran Sirovatka dipl. ing.,pred.
A:Prof.dr.sc. Slavica Ćosović Bajić
A: Andor Gužvanj
A: Goran Sirovatka dipl. ing.,pred.
A: Domagoj Tuličić
L:Prof.dr.sc. Slavica Ćosović Bajić
L: Andor Gužvanj
L: Goran Sirovatka dipl. ing.,pred.
L: Domagoj Tuličić
0+45 (15+30+0+0) (105)5200518
Code WEB/ISVU25624/200518ECTS5Academic year2020/2021
Name
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - elective course
DepartmentPodručje tehničkih znanosti 2.03. Elektrotehnika Stručni predmet (Katedra za programsko inženjerstvo)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
0+45 (15+30+0+0)
105
TeachersLectures:1. Goran Sirovatka dipl. ing.,pred.
Auditory exercises:Prof.dr.sc. Slavica Ćosović Bajić
Auditory exercises: Andor Gužvanj
Auditory exercises: Goran Sirovatka dipl. ing.,pred.
Auditory exercises: Domagoj Tuličić
Laboratory exercises:Prof.dr.sc. Slavica Ćosović Bajić
Laboratory exercises: Andor Gužvanj
Laboratory exercises: Goran Sirovatka dipl. ing.,pred.
Laboratory exercises: Domagoj Tuličić
Course objectivesAcquisition 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 #8203;#8203;and scripts and languages #8203;#8203;translated into parentheses. Level:6,7
2.Calculate the values #8203;#8203;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 exercisesLaboratory exercises, computer simulations
Group problem solving
Traditional literature analysis
Discussion, brainstorming
Computer simulations
Methods of carrying out laboratory exercisesLaboratory exercises, computer simulations
Computer simulations
Other
Rapberry pi b+
Course content auditory1.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 laboratory1.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 materialsGeneral purpose computer laboratory
Whiteboard with markers
Overhead projector
Operating supplies
Special equipment
Rapberry pi B+
Exam literatureObavezna:
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 Beginners Introduction CRC 2018
3. J. Michael Fitzpatrick, kos Ldeczi -Computer Programming with MATLAB, Fitzle,2014

Izborna:
1. Csar Prez Lpez - MATLAB Graphical Programming, Apress 2014
2. Andy H. Register , A Guide to MATLAB Object-Oriented Programming, Chapman Hall/CRC :, SCITECH Pub, 2007
Students obligationss finished all laboratory exercises
Knowledge evaluation during semester1st 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 semesterPractical 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:
AktivnostECTS
(Classes attendance)1
(Constantly tested knowledge)2
(Practical work)2
RemarkThis course can be used for final thesis theme
Proposal made byProf. dr. sc. Miroslav Slamić profesor visoke škole, 14.6.2019
+P:1.Dr. sc. Marko Horvat v. pred.
P:1.Dr. sc. Aleksandar Stojanović pred.
L:Dr. sc. Aleksandar Stojanović pred.
Software Engineering and Information Systems30+30 (0+30+0+0) (90)5186735
Code WEB/ISVU25590/186735ECTS5Academic year2020/2021
NameSoftware Engineering and Information Systems
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - elective course
DepartmentPodručje tehničkih znanosti 2.09. Računarstvo Stručni predmet (Katedra za programsko inženjerstvo)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (0+30+0+0)
90
TeachersLectures:1. Dr. sc. Marko Horvat v. pred.
Lectures:1. Dr. sc. Aleksandar Stojanović pred.
Laboratory exercises:Dr. sc. Aleksandar Stojanović pred.
Course objectivesTo 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 lecturesEx cathedra teaching
Case studies
Demonstration
Modelling
Discussion
Questions and answers
Methods of carrying out laboratory exercisesLaboratory exercises on laboratory equipment
Group problem solving
Essay writing
Discussion, brainstorming
Course content lectures1.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 relational data model, 2h, Learning outcomes:3
6.Data modeling using document data model, 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.no class, 2h, Learning outcomes:6
10.no class, 2h, Learning outcomes:6
11.no class, 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 laboratory1.Lab assignments, 2h, Learning outcomes:1
2.Lab assignments, 2h, Learning outcomes:1
3.Lab assignments, 2h, Learning outcomes:1
4.Lab assignments, 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.no class, 2h, Learning outcomes:3
10.no class, 2h, Learning outcomes:3
11.no class, 2h, Learning outcomes:3
12.no class, 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 materialsBasic: classroom, blackboard, chalk...
General purpose computer laboratory
Overhead projector
Exam literatureBasic 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 obligationsmaximum of 30% absences from lectures
maximum of 20% absences from exercises
Knowledge evaluation during semesterVerification of lab assignments every other week.

Grade Points
250 - 69
370 - 79
480 - 89
590+
Knowledge evaluation after semesterStudent presentation: 30 pts
Practical assignments: 70 pts
Oral exam: as needed

Grade Points
250 - 69
370 - 79
480 - 89
590+

Grading requirements: signature, lab assignments
Student activities:
AktivnostECTS
(Practical work)3
(Seminar Work)2
RemarkThis course can be used for final thesis theme
Proposal made byAleksandar Stojanović, Ph.D.
+P:mr. Alenka Poljičak dipl.oec., viši predavač
A: Sanja Đonlić dipl. ing. stroj. (mag. ing. mech.)
A:mr. Alenka Poljičak dipl.oec., viši predavač
S: Sanja Đonlić dipl. ing. stroj. (mag. ing. mech.)
S:mr. Alenka Poljičak dipl.oec., viši predavač
Quality Management30+30 (15+0+15+0) (90)5130907
Code WEB/ISVU25331/130907ECTS5Academic year2020/2021
NameQuality Management
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - elective course
DepartmentPodručje društvenih znanosti 5.01. Ekonomija Opći predmet (Katedra za zajedničke predmete, katedra za ekonomiju)
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (15+0+15+0)
90
TeachersLectures:mr. Alenka Poljičak dipl.oec., viši predavač
Auditory exercises: Sanja Đonlić dipl. ing. stroj. (mag. ing. mech.)
Auditory exercises:mr. Alenka Poljičak dipl.oec., viši predavač
Seminar exercises: Sanja Đonlić dipl. ing. stroj. (mag. ing. mech.)
Seminar exercises:mr. Alenka Poljičak dipl.oec., viši predavač
Course objectivesTo transfer to students the basic knowledge related to quality management
Learning outcomes:1.ability to estimate to what point the regulations and norms concerning the quality of products or services are law-abiding. Level:7
2.ability to choose an appropriate quality tool for solving incompatibilities in processes, products or services. Level:7
3.ability to measure the level of stability and variability of a process. Level:7
4.ability to write a report on preventions or corrections that have been made towards the management or customers. Level:6,7
5.ability to buid a system of quality assurance on a model of a work organisation or institution. Level:6,7
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
8.ability to devise a documented procedure to describe a process in the organisation model. Level:6,7
Involvement of learning outcomes of the course in study programme:1.1.OPĆI Služiti se stranim jezikom u literaturi i svakodnevnoj stručnoj komunikaciji. : 30h in 150h
1.2.OPĆI Primijeniti znanje matematike i fizike na inženjerske probleme.: 30h in 150h
1.3.OPĆI Koristiti tehnike, vještine i suvremene alate neophodne za inženjersku praksu.: 50h in 150h
1.4.OPĆI Povezati inženjerske aktivnosti konstruiranja, proizvodnje i marketinga s potrebama korisnika proizvoda i usluge.: 70h in 150h
1.5.OPĆI Identificirati, modelirati i rješavati inženjerske probleme.: 50h in 150h
1.6.OPĆI Osmišljavati i provoditi pokuse, analizirati i interpretirati dobivene podatke.: 50h in 150h
2.1.OSOBNE Znanje o suvremenim pitanjima struke i društva.: 50h in 150h
2.2.OSOBNE Odgovornost, dosljednost, točnost, ažurnost.: 60h in 150h
2.3.OSOBNE Etički i moralni pristup radu.: 40h in 150h
2.4.OSOBNE Kritička evaluacija argumenata, pretpostavki i podataka u cilju stvaranja mišljenja i pridonošenja rješenju problema.: 50h in 150h
2.5.OSOBNE Spremnost za rad na terenu i u nestandardnim uvjetima.: 10h in 150h
2.6.OSOBNE Iskustva rada u projektnim timovima i industriji.: 50h in 150h
2.7.OSOBNE Predstavljanje informacija, ideja, problema i rješenja stručnoj i općoj publici.: 40h in 150h
2.8.OSOBNE Komunikacijske vještine u okviru struke te s klijentima, na hrvatskom i engleskom jeziku.: 40h in 150h
2.9.OSOBNE Profesionalna i ljudska osobnost.: 20h in 150h
2.10.OSOBNE Prilagodljivost novim tehnologijama i tehnikama kao dio procesa cjeloživotnog učenja.: 30h in 150h
2.11.OSOBNE Otvorenost za nova znanja, iskustva i kulturne okolnosti.: 30h in 150h
2.12.OSOBNE Fleksibilnost i prilagodljivost u iznalaženju tehničkih rješenja uz neupitno poštivanje temeljnih etičkih načela, pravnih normi i pravila struke.: 30h in 150h
3.1.SPECINF Razumijevati mjesto i ulogu IT u kontekstu organizacije, menedžmenta i poslovnih procesa.: 60h in 150h
3.2.SPECINF Razumijevati domenu inženjerstva i tehnologija sukladno stupnju obrazovanja: 40h in 150h
3.3.SPECINF Povezati relevantne specifične discipline kao što su informacijsko-računarsko inženjerstvo i tehnologije u poslovnom okruženju: 20h in 150h
3.4.SPECINF Upotrijebiti stečena znanja za samostalno usvajanje novih znanja: 30h in 150h
3.5.SPECINF Realizirati kritičko razmišljanje te logičko stvaranje mišljenja u poslovnim i inženjerskim procesima: 30h in 150h
Methods of carrying out lecturesEx cathedra teaching
Guest lecturer
Case studies
Discussion
Seminar, students presentation and discussion
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 exercisesGroup problem solving
Discussion, brainstorming
Workshop
Other
problems are solved with students
Methods of carrying out seminarsData 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 lectures1.Introduction to the course, assessment of general concepts and definitions of quality, 4h, Learning outcomes:1,2,3,4,5,7,8
2.Systems standards, introduction to ISO 9001 Requirements for Management System, 4h, Learning outcomes:1,2,3,4,5,6,7,8
3.Collecting and displaying data, FMEA analysis, 3h, Learning outcomes:1,2,3,4,5,6,7,8
4.Process control and statistics, 3h, Learning outcomes:1,2,3,4,5,6,7,8
5.Repetition of topics S1-S4, 1h, Learning outcomes:1,2,3,4,5,6,7,8
6.Quality control of the process, SWOT analysis, 5S, 4h, Learning outcomes:1,2,3,4,5,6,7,8
7.Method six sigma, 3h, Learning outcomes:1,2,3,4,5,6,7,8
8.Product design, engineering, 3h, Learning outcomes:1,2,3,4,5,6,7,8
9.Method eight disciplines, 1h, Learning outcomes:1,2,3,4,5,6,7,8
10.Quality in procurement, 3h, Learning outcomes:1,2,3,4,5,6,7,8
11.Repetition of topics S5-S9, 1h, Learning outcomes:1,2,3,4,5,6,7,8
12.no lessons
13.no lessons
14.no lessons
15.no lessons
Course content auditory1.Process development and manufacturing, FMEA analysis, 2h, Learning outcomes:1,2,3,4,5,6,7,8
2.Xsr R-map, the analysis of the production process, 2h, Learning outcomes:1,2,3,4,5,6,7,8
3.Key Performance Indicators, 2h, Learning outcomes:1,2,3,4,5,6,7,8
4.quality plans, 2h, Learning outcomes:1,2,3,4,5,6,7,8
5.8D method, internal audits, 2h, Learning outcomes:1,2,3,4,5,6,7,8
6.Presentation of seminar papers, 2h, Learning outcomes:1,2,3,4,5,6,7
7.no lessons
8.no lessons
9.no lessons
10.no lessons
11.no lessons
12.no lessons
13.no lessons
14.no lessons
15.no lessons
Course content seminars1.Consultation and exercises, 1h, Learning outcomes:1,2,3,4,5,6,7,8
2.Consultation and exercises, 1h, Learning outcomes:1,2,3,4,5,6,7,8
3.Consultation and exercises, 1h, Learning outcomes:1,2,3,4,5,6,7,8
4.no lessons
5.no lessons
6.no lessons
7.no lessons
8.no lessons
9.no lessons
10.no lessons
11.no lessons
12.no lessons
13.no lessons
14.no lessons
15.no lessons
Required materialsBasic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
Exam literatureBilješke koje nastavnik priprema za nastavu
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
E.L.Grant, R.S.Leavenworth, Statistical Quality Control, McGraw-Hill, New York, 1988.

Lazibat, Tonči, 2009, Upravljanje kvalitetom, Znanstv. knjiga, Zagreb.
Oslić, Ivica, 2008, Kvaliteta i poslovna izvrsnost, MEP Consult, Zagreb
Štajdohar-Pađen, Olga, 2009, Plivati s ISO-m i ostati živ, Kigen, Zagreb
Students obligationsdelivered seminars and evaluated with at least 8 points
Knowledge evaluation during semesterRedovitost pohaa#3#0#0$Kolokvij, teorijska pitanja#2#35#0$Seminarski rad#1#15#8$Domazada5#3#0$
Knowledge evaluation after semesterwritten and oral exam
Student activities:
AktivnostECTS
(Classes attendance)1
(Seminar Work)1
(Written exam)3
RemarkThis course can be used for final thesis theme
Proposal made bydr.sc. Ljubivoj Cvitaš dipl.ing., 1.6.2015

Elective courses 0-30 ECTS)

DetailsTeachersCourseMode L+(A+L+S+C) (H)EctsCode
+P:dipl. ing. Ognjen Staničić v. pred.
L:dipl. ing. Ognjen Staničić v. pred.
Bridge30+30 (0+30+0+0) (90)5171755
Code WEB/ISVU25528/171755ECTS5Academic year2020/2021
NameBridge
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (STARI Specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - elective course
DepartmentPodručje tehničkih znanosti 2.09. Računarstvo Opći predmet ()
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (0+30+0+0)
90
TeachersLectures:dipl. ing. Ognjen Staničić v. pred.
Laboratory exercises:dipl. ing. Ognjen Staničić v. pred.
Course objectivesIntroduction 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 lecturesEx cathedra teaching
Case studies
Demonstration
Discussion
Questions and answers
Other
Practice in the bridge club
Methods of carrying out laboratory exercisesGroup problem solving
Discussion, brainstorming
Interactive problem solving
Other
Bridge base online
Course content lectures1.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 laboratory1.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 materialsGeneral purpose computer laboratory
Whiteboard with markers
Overhead projector
Exam literature1. Neven Elezović: Naučite bridž za deset dana (i deset noći), Element, Zagreb, 2004.,
Students obligationsRegular attendance
Knowledge evaluation during semesterRegular attendance, theoretical and practical exams
Knowledge evaluation after semesterWritten and oral exam
Student activities:
AktivnostECTS
(Classes attendance)2
(Practical work)2
(Constantly tested knowledge)1
RemarkThis course can be used for final thesis theme
Proposal made bydipl. 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:Prof.dr.sc. Slavica Ćosović Bajić
P:dr. sc. Roman Domović , prof.
P:doc. dr. sc. Darko Galinec , prof. v. š.
P:izv. prof. dr. sc. Petar Jandrić prof. v. šk.
P:Prof. dr. sc. Goran Klepac Prof. v.š.
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
P: Zorko Petruša
P:v.pred. Aleksander Radovan , dipl. ing.
P:Prof. dr. sc. Miroslav Slamić profesor visoke škole
P:dr.sc. Igor Urbiha prof.vis.šk.
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 , mag. design
A:dr.sc. Vjeran Bušelić prof. v.šk.
Seminar Paper60+60 (60+0+0+0) (240)1222533
Code WEB/ISVU25289/22533ECTS12Academic year2020/2021
NameSeminar Paper
Status1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (STARI Specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Redovni specijalisti informatike (smjer raarstvo)) - elective course1st semester - Polytechnic graduate professional study programme specialization in Informatics Engineering (NOVI Izvanredni specijalisti informatike (smjer raarstvo)) - elective course
Department
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
60+60 (60+0+0+0)
240
TeachersLectures: 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:Prof.dr.sc. Slavica Ćosović Bajić
Lectures:dr. sc. Roman Domović , prof.
Lectures:doc. dr. sc. Darko Galinec , prof. v. š.
Lectures:izv. prof. dr. sc. Petar Jandrić prof. v. šk.
Lectures:Prof. dr. sc. Goran Klepac Prof. v.š.
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
Lectures: Zorko Petruša
Lectures:v.pred. Aleksander Radovan , dipl. ing.
Lectures:Prof. dr. sc. Miroslav Slamić profesor visoke škole
Lectures:dr.sc. Igor Urbiha prof.vis.šk.
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 , mag. design
Auditory exercises:dr.sc. Vjeran Bušelić prof. v.šk.
Course objectivesTo 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 lecturesEx cathedra teaching
Case studies
Simulations
Modelling
Discussion
Questions and answers
Seminar, students presentation and discussion
Homework presentation
Methods of carrying out auditory exercisesLaboratory exercises, computer simulations
Group problem solving
Discussion, brainstorming
Computer simulations
Workshop
Course content lectures1.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 auditory1.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#8203;#8203;, 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 materialsSpecial purpose computer laboratory
Overhead projector
Tools
XAMPP application
Exam literatureŠimec, 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 obligationsAttendance 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 semester1st Colloquium (theory and tasks) 25 points
2nd Colloquium (theory and tasks) 25 points
Knowledge evaluation after semesterWritten exam 100 points
Student activities:
AktivnostECTS
(Written exam)3
(Project)2
(Seminar Work)1
(Project)6
RemarkThis course can be used for final thesis theme
Proposal made byAlen Šimec, Ph.D.