+ | P: Vesna Alić-Kostešić dipl.ing.stroj. A: Vesna Alić-Kostešić dipl.ing.stroj. | IT Systems Management | 45+15 (15+0+0+0) (90) | 5 | 130908 | NO |
Code WEB/ISVU
| 29076/130908
| ECTS
| 5
| Academic year
| 2023/2024
|
Name
| IT Systems Management
|
Status
| 1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika (smjer računarstvo)) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika) - elective course1st semester - Graduate Professional Study in 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: 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) | 5 | 130906 | NO |
Code WEB/ISVU
| 29074/130906
| ECTS
| 5
| Academic year
| 2023/2024
|
Name
| Motivation and Team Work
|
Status
| 1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika (smjer računarstvo)) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika (smjer računarstvo)) - elective course
|
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) | 5 | 200529 | NO |
Code WEB/ISVU
| 29723/200529
| ECTS
| 5
| Academic year
| 2023/2024
|
Name
| Bussiness Ethics and Law
|
Status
| 1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika (smjer računarstvo)) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika (smjer računarstvo)) - elective course
|
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: Maja Pauković dipl.oec. L: Maja Pauković dipl.oec. | Applied Statistics | 30+30 (0+30+0+0) (90) | 5 | 130904 | NO |
Code WEB/ISVU
| 29073/130904
| ECTS
| 5
| Academic year
| 2023/2024
|
Name
| Applied Statistics
|
Status
| 1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika (smjer računarstvo)) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika (smjer računarstvo)) - elective course
|
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: Maja Pauković dipl.oec. Laboratory exercises: Maja Pauković dipl.oec.
|
Course objectives
| To 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 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.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 višefektorska. 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 laboratory | 1.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 materials | Basic: classroom, blackboard, chalk... General purpose computer laboratory Whiteboard with markers Overhead projector
| Exam literature | 1.M.Papić,Primijenjena statistika u MS Excelu, Naklada Zoro, Zagreb,978-953-298-037-0,2014
2.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 | (Written exam) | 3 | (Classes attendance) | 1 | (Activity in class) | 1 |
| Remark | This course can not be used for final thesis theme | Proposal made by | Maja Pauković, 20.5.2022. | |
+ | P:1. Andor Gužvanj A: Andor Gužvanj A: Domagoj Tuličić L: Andor Gužvanj L: Domagoj Tuličić | Programming in Mathematical and Computational Software | 0+45 (15+30+0+0) (105) | 5 | 200518 | NO |
Code WEB/ISVU
| 29722/200518
| ECTS
| 5
| Academic year
| 2023/2024
|
Name
| Programming in Mathematical and Computational Software
|
Status
| 1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika (smjer računarstvo)) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika (smjer računarstvo)) - elective course
|
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 Auditory exercises: Domagoj Tuličić Laboratory exercises: Andor Gužvanj Laboratory exercises: Domagoj Tuličić
|
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) | 5 | 186735 | NO |
Code WEB/ISVU
| 29669/186735
| ECTS
| 5
| Academic year
| 2023/2024
|
Name
| Software Engineering and Information Systems
|
Status
| 1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika (smjer računarstvo)) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika (smjer računarstvo)) - elective course
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Department
| Područje tehničkih znanosti 2.09. Računarstvo Stručni predmet (Katedra za programsko inženjerstvo)
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Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home
| 30+30 (0+30+0+0) 90
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Teachers
| Lectures:1. Dr. sc. Aleksandar Stojanović v. pred. Laboratory exercises:Dr. sc. Aleksandar Stojanović v. pred.
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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 using various data models, 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 laboratory | 1.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 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: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 Management | 30+30 (15+0+15+0) (90) | 5 | 130907 | NO |
Code WEB/ISVU
| 29075/130907
| ECTS
| 5
| Academic year
| 2023/2024
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Name
| Quality Management
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Status
| 1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Izvanredni diplomski informatika (smjer računarstvo)) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika) - elective course1st semester - Graduate Professional Study in Informatics (Redovni diplomski informatika (smjer računarstvo)) - elective course
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Department
| Područje društvenih znanosti 5.01. Ekonomija Opći predmet (Katedra za zajedničke predmete, katedra za ekonomiju)
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Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home
| 30+30 (15+0+15+0) 90
|
Teachers
| Lectures: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
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Course objectives
| To 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 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 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:1,2,3,4,5,7,8 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 auditory | 1.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 seminars | 1.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 materials | Basic: classroom, blackboard, chalk... Whiteboard with markers Overhead projector
| Exam literature | Bilješke 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 obligations | delivered seminars and evaluated with at least 8 points | Knowledge evaluation during semester | Redovitost pohađanja#3#0#0$Kolokvij, teorijska pitanja#2#35#0$Seminarski rad#1#15#8$Domaće zadaće#5#3#0$ | Knowledge evaluation after semester | • written and oral 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 | dr.sc. Ljubivoj Cvitaš dipl.ing., 1.6.2015 | |