1. semester :: specialization :: 0

Compulsory courses

DetailsTeachersCourseMode L+(A+L+S+C) (H)EctsCode
+P:1.dr.sc. Dalibor Gelo mag.ing.aedif.
A:dr.sc. Dalibor Gelo mag.ing.aedif.
K:dr.sc. Dalibor Gelo mag.ing.aedif.
Structural Engineering15+30 (10+0+0+20) (75)4.0163457
Code WEB/ISVU24791/163457ECTS4.0Academic year2019/2020
NameStructural Engineering
Status1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Redovni specijalisti graditeljstva) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Izvanredni specijalisti graditeljstva) - obligatory course
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
15+30 (10+0+0+20)
75
TeachersLectures:1. dr.sc. Dalibor Gelo mag.ing.aedif.
Auditory exercises:dr.sc. Dalibor Gelo mag.ing.aedif.
Construction exercises:dr.sc. Dalibor Gelo mag.ing.aedif.
Course objectivesAn introduction with techniques of numerical modeling of static systems.
Learning outcomes:1.Analyze of difference between linear and nonlinear static systems.. Level:6
2.Evaluate displacements and rotation of observed point on structure.. Level:7
3.Solve two or more times statically indeterminate structures by force method.. Level:6
4.formulation of flexibility matrix.. Level:6
5.Formulation of displacement method and engineering displacement method.. Level:6,7
6.Formulation of finite element method.. Level:6,7
7.formulation of stiffness matrix.. Level:6
8.Analyze of numerical integration in numerical modeling.. Level:6
Methods of carrying out lecturesEx cathedra teaching
Case studies
Simulations
Modelling
Questions and answers
Methods of carrying out auditory exercisesGroup problem solving
Computer simulations
How construction exercises are heldOther
Course content lectures1.Equilibrium, internal forces, drawing diagrams of internal forces, differential equations., 1h, Learning outcomes:1
2.Geometric and material characteristics, linear and nonlinear theory., 1h, Learning outcomes:1
3.Determination of the displacement and rotation of the observed point., 1h, Learning outcomes:1,2
4.The force method for one times statically indeterminate systems., 1h, Learning outcomes:1,2
5.Force method two and more times statically indeterminate system, flexibility matrix., 1h, Learning outcomes:1,2,3
6.Displacement method, the definition of the basic elements., 1h, Learning outcomes:4
7.Application of displacement method., 1h, Learning outcomes:4
8.Engineering displacement method, comparison with the displacement method., 1h, Learning outcomes:4
9.The first colloquium., 1h, Learning outcomes:1,2,3,4,5
10.Finite element analysis, defining the final element, the formation of stiffness matrix for a bar element., 1h, Learning outcomes:6,7
11.Finite element analysis, the formation of stiffness matrix using the deformation curves., 1h, Learning outcomes:6,7
12.Finite element analysis, the condensation of the stiffness matrix., 1h, Learning outcomes:6,7
13.Finite element analysis, stiffness matrix for the plate elements., 1h, Learning outcomes:6,7
14.Iterative procedures for solving linear and nonlinear numerical problems., 1h, Learning outcomes:8
15.The second colloquium., 1h, Learning outcomes:6,7,8
Course content auditory1.Solving equilibrium problem, determination of internal forces, drawing the internal forces diagrams., 2h, Learning outcomes:1
2.Draw internal forces diagrams., 2h, Learning outcomes:1
3.Determination of the displacement and rotation of the observed point., 2h, Learning outcomes:1,2
4.Solving numerical problems using the force method for one times statically indeterminate systems., 2h, Learning outcomes:1,2
5.Solving numerical problems using the force method for two and more times statically indeterminate systems., 2h, Learning outcomes:1,2,3
6.Displacement method, formulating the stiffness matrix., 2h, Learning outcomes:4
7.Displacement method, drawing the internal forces diagrams., 2h, Learning outcomes:3,4
8.Solving numerical problems by engineering displacement method., 2h, Learning outcomes:3,4,5
9.The first colloquium., 2h, Learning outcomes:1,2,3,4,5
10.The finite element method, the formation of the global stiffness matrix., 2h, Learning outcomes:3,6,7
11.Finite element, forming a matrix of rotation, the transformation matrix stiffness from the local to the global system and from the global to the local system., 2h, Learning outcomes:3,6,7
12.Finite element analysis, the condensation of the stiffness matrix., 2h, Learning outcomes:3,6,7
13.Finite element analysis, drawing the internal forces diagrams., 2h, Learning outcomes:3,6,7
14.Finite element analysis, introduction to software formed based on the finite element method., 2h, Learning outcomes:3,8
15.The second colloquium., 2h, Learning outcomes:5,6,7,8
Course content constructures1.No classes.
2.No classes.
3.No classes.
4.No classes.
5.No classes.
6.No classes.
7.No classes.
8.No classes.
9.No classes.
10.No classes.
11.No classes.
12.No classes.
13.No classes.
14.No classes.
15.No classes.
Required materialsBasic: classroom, blackboard, chalk...
Whiteboard with markers
Exam literature1. Bilješke s predavanja.
2. Werner - Inženjesko modeliranje 2 [22.05.18]
3. Jurica Sorić - Metoda konačnih elemenata
Students obligationsIn semester is possible to achieve 60 points.
-first colloquium 30 points
-second colloquium 30 points

Terms for taking the exam (signature):
30 points from the two colloquium out of a possible 60 points

Extra examination for students who achieve between 15 and 30 points in two colloquium. Max can be achieved 30 points.
Knowledge evaluation during semesterIn semester is possible to achieve 60 points.
-first colloquium 30 points
-second colloquium 30 points

Terms for taking the exam (signature):
30 points from the two colloquium out of a possible 60 points
Class attendance.

Extra examination for students who achieve between 15 and 30 points in two colloquium. Max can be achieved 30 points.
Knowledge evaluation after semesterThe exam consists of written and oral part.
Written 30 points.
Oral 10 points.

Conditions for obtaining grade:
Min 30 points colloquia or colloquia + extra examination.
Written min. 15 points.
Oral min. 5 points.
Class attendance.

Grading:
2 from 50 to 64 points
3 from 65 to 79 points
4 from 80 to 89 points
5 from 90 and 100 points
Student activities:
AktivnostECTS
(Classes attendance)1
(Constantly tested knowledge)1
(Written exam)1
(Oral exam)1
RemarkThis course can be used for final thesis theme
Prerequisites:No prerequisites.
Proposal made bydr.sc. Dalibor Gelo mag.ing.aedif., 24.10.2016
+P:1.dr.sc. Mandi Orlić Bachler v.pred
P:2. Ivana Božić Dragun dipl.prof.mat.
P:3.mr. sc. Reni Banov dipl. ing. mat.
A:mr. sc. Reni Banov dipl. ing. mat.
A:dr.sc. Mandi Orlić Bachler v.pred
Mathematics30+30 (30+0+0+0) (120)6.0146685
Code WEB/ISVU24471/146685ECTS6.0Academic year2019/2020
NameMathematics
Status1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Redovni specijalisti graditeljstva) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Izvanredni specijalisti graditeljstva) - obligatory course
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+30 (30+0+0+0)
120
TeachersLectures:1. dr.sc. Mandi Orlić Bachler v.pred
Lectures:2. Ivana Božić Dragun dipl.prof.mat.
Lectures:3. mr. sc. Reni Banov dipl. ing. mat.
Auditory exercises:mr. sc. Reni Banov dipl. ing. mat.
Auditory exercises:dr.sc. Mandi Orlić Bachler v.pred
Course objectivesacquiring basic knowledge in differential and integral calculus of real functions of several real variables
Learning outcomes:1.sketch natural domains of functions of two variables. Level:6
2.sketch contour lines of functions of two variables. Level:6
3.find first and second order partial derivatives of functions of two variables. Level:6
4.determine tangent planes on graphs of functions of two variables. Level:6,7
5.estimate errors using partial derivatives. Level:6,7
6.determine local extrema of functions of two variables. Level:6,7
7.solve optimization problems using local extrema. Level:6
8.solve double integrals in Cartesian coordinates. Level:6
9.find volumes and areas using double integrals. Level:6
10.solve triple integrals in Cartesian coordinates. Level:6
11.solve double integrals in polar coordinates. Level:6
12.solve triple integrals in cylindrical and spherical coordinates. Level:6
13.find masses and centres of gravity using multiple integrals. Level:6
Methods of carrying out lecturesEx cathedra teaching
Methods of carrying out auditory exercisesGroup problem solving
Course content lectures1.Functions of several variables, 2h, Learning outcomes:1
2.Graphical representation of functions of several variables, 2h, Learning outcomes:2
3.Partial derivatives, 2h, Learning outcomes:3
4.Tangent plane, 2h, Learning outcomes:4
5.Application of partial derivatives to error estimation, 2h, Learning outcomes:5
6.Local extrema of functions of several variables, 2h, Learning outcomes:6,7
7.Midterm exam, 2h, Learning outcomes:1,2,3,4,5,6,7
8.Double integral, 2h, Learning outcomes:8
9.Using double integrals to find volumes and areas, 2h, Learning outcomes:9
10.Triple integral, 2h, Learning outcomes:10
11.Double integrals in polar coordinates, 2h, Learning outcomes:11
12.Triple integrals in cylindrical and spherical coordinates, 2h, Learning outcomes:12
13.Applications of multiple integrals in physics, 2h, Learning outcomes:13
14.Final written exam, 2h, Learning outcomes:8,9,10,11,12,13
15.Final oral exam, 2h, Learning outcomes:1,2,3,4,5,6,7,8,9,10,11,12,13
Course content auditory1.Functions of several variables, 2h, Learning outcomes:1
2.Graphical representation of functions of several variables, 2h, Learning outcomes:2
3.Partial derivatives, 2h, Learning outcomes:3
4.Tangent plane, 2h, Learning outcomes:4
5.Application of partial derivatives to error estimation, 2h, Learning outcomes:5
6.Local extrema of functions of several variables, 2h, Learning outcomes:6,7
7.Midterm exam, 2h, Learning outcomes:1,2,3,4,5,6,7
8.Double integral, 2h, Learning outcomes:8
9.Using double integrals to find volumes and areas, 2h, Learning outcomes:9
10.Triple integral, 2h, Learning outcomes:10
11.Double integrals in polar coordinates, 2h, Learning outcomes:11
12.Triple integrals in cylindrical and spherical coordinates, 2h, Learning outcomes:12
13.Applications of multiple integrals in physics, 2h, Learning outcomes:13
14.Final written exam, 2h, Learning outcomes:8,9,10,11,12,13
15.Final oral exam, 2h, Learning outcomes:1,2,3,4,5,6,7,8,9,10,11,12,13
Required materialsBasic: classroom, blackboard, chalk...
Exam literature1. S. Suljagić: Matematika II, skripta, 2000. http://www.grad.hr/nastava/matematika/
2. M. Orlić, T. Perkov: Repetitorij matematike za studente graditeljstva, TVZ, Zagreb, 2014.
Additional literature:
1. B. P. Demidovič i dr.: Zadaci i riješeni primjeri iz matematičke analize za tehničke fakultete, 7. ispravljeno izdanje, Golden marketing - Tehnička knjiga, Zagreb, 2003.
2. S. Kurepa: Matematička analiza I, Tehnička knjiga, Zagreb, 1970.
3. K. Singh: Engineering mathematics through applications, Palgrave Macmillan, 2003.
Students obligationsIt is required to achieve at least 30 points during the semester.
Knowledge evaluation during semesterDuring the semester it is possible to achieve a maximum of 60 points, as follows:
- course completed: 30 points,
- tests: 30 points.

By achieving at least 45 points, a student is qualified for the oral exam, which is obligatory.
Knowledge evaluation after semesterAt the exam it is possible to achieve a maximum of 40 points. The exam consists of written (for students with less then 45 points achieved during the semester) and oral part.
Student activities:
AktivnostECTS
(Constantly tested knowledge)2
(Written exam)2
(Oral exam)2
RemarkThis course can not be used for final thesis theme
Prerequisites:No prerequisites.
Proposal made byT. Perkov, M. Orlić Bachler, 11. 5. 2016.
+P:1.dr.sc. Sonja Zlatović , prof.v.šk.
P:mr.sc. Donka Wurth v. predavač
S:mr.sc. Donka Wurth v. predavač
S:dr.sc. Sonja Zlatović , prof.v.šk.
K:mr.sc. Donka Wurth v. predavač
K:dr.sc. Sonja Zlatović , prof.v.šk.
Quality Management30+15 (0+0+2+13) (75)4.0163451
Code WEB/ISVU24790/163451ECTS4.0Academic year2019/2020
NameQuality Management
Status1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Redovni specijalisti graditeljstva) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Izvanredni specijalisti graditeljstva) - obligatory course
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+15 (0+0+2+13)
75
TeachersLectures:1. dr.sc. Sonja Zlatović , prof.v.šk.
Lectures:mr.sc. Donka Wurth v. predavač
Seminar exercises:mr.sc. Donka Wurth v. predavač
Seminar exercises:dr.sc. Sonja Zlatović , prof.v.šk.
Construction exercises:mr.sc. Donka Wurth v. predavač
Construction exercises:dr.sc. Sonja Zlatović , prof.v.šk.
Course objectivesStudents will gain knowledge in the field of quality management.
Learning outcomes:1.select quality management tools to solve problems in a particular working environment. Level:7
2.classify causes of problems by brainstorming and using the Ishikawa cause-and-effect diagram. Level:6,7
3.rank sources of errors using the Pareto diagram. Level:7
4.recommend quality improvements according to quality management principles based on ISO or other excellence models. Level:7
5.plan activities so as to avoid human errors, technical, random, and intentional errors due to poor communication. Level:6,7
6.propose corrective and preventive actions for processes in a particular working environment. Level:6,7
7.support quality requirements by means of technical legislation, Eurocode 1990, and regulations applicable to civil engineering. Level:7
Methods of carrying out lecturesEx cathedra teaching
Guest lecturer
Case studies
Discussion
Questions and answers
Seminar, students presentation and discussion
Homework presentation
Drawings, tables and diagrams are used to facilitate understanding, as well as photographs and prepared materials used in companies.
Methods of carrying out seminarsOther
How construction exercises are heldGroup problem solving
Traditional literature analysis
Data mining and knowledge discovery on the Web
Essay writing
Discussion, brainstorming
Interactive problem solving
Workshop
Course content lectures1.Introduction. What is quality? What is quality management?, 4h, Learning outcomes:1
2.Deming. Shewhart. Deming Prize. 5S. Ishikawa. Ishikawa diagram. Pareto diagram., 4h, Learning outcomes:1,2,3
3.European standards. ISO standards. EFQM Excellence Model. OsliJuran., 4h, Learning outcomes:4
4.Juran trilogy. Quality improvement., 4h, Learning outcomes:5
5.Taguchi. Robust design. Crosby., 4h, Learning outcomes:5
6.Eurocode 1990., 4h, Learning outcomes:7
7.Quality management in Civil Engineering., 4h, Learning outcomes:7
8.Quality management in Civil Engineering., 2h, Learning outcomes:7
9.
10.
11.
12.
13.
14.
15.
Course content seminars1.
2.
3.
4. Presentation of students, 3h, Learning outcomes:1,2,3,4,5,6,7
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
Course content constructures1.Quality management principles (ISO). Quality improvement (Juran)., 4h, Learning outcomes:1,4,5
2.Legislation in Civil Engineering. Ishikawa diagram., 4h, Learning outcomes:1,2,7
3.Standards in Civil Engineering. Pareto diagram., 4h, Learning outcomes:1,3,6,7
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
Required materialsBasic: classroom, blackboard, chalk...
General purpose computer laboratory
Overhead projector
Exam literatureIvica Oslić. 2008. Kvaliteta i poslovna izvrsnost. Mep Consult d.o.o. Zagreb
Olga Štajdohar-Pađen. 2015. Plivati s ISO-om i ostati živ Što je kvaliteta i kako njome upravljati u poslovnom i privatnom životu
AKTUALNI PROPISI U GRADITELJSTVU, http://www.mgipu.hr/default.aspx?id=3654

Preporučena dopunska literatura:
EUROKOD 1990
Dale, Barrie G.; Ton van der Wiele; Jos van Iwaarden. 1999, 2003, 2007. Managing Quality. Blackwell Publishing.
Androić, Boris; Dujmović, Darko; Džeba, Ivica. 2003. Inženjerstvo pouzdanosti 1, I.A. Projektiranje
Juran, Joseph Moses; Frank M. Gryna. 1993, 1999. Planiranje i analiza kvalitete. MATE d.o.o. Zagreb, prijevod djela Quality Planning and Analysis. McGraw-Hill, Inc.
Thorpe, Brian; Peter Sumner. 2004. Quality Management In Construction. Gower.
Gulvanessian, Haig; Calgaro, J.A.; Holicky, Milan. 2002. Designers' Guide to EN 1990 Eurocode: Basis of Structural Design, Thomas Telford
Students obligations-
Knowledge evaluation during semester10 minitests and eseys (4 points each, possible 40 points in total),
and 2 tests (30 points each, 60 points in total).

Students who accumulate at least 24 points in minitests and eseys and at least 18 points on each tests do not need to take other type of exam.
Knowledge evaluation after semesterWritten exam: 60 points of possible 100 points.
Student activities:
AktivnostECTS
(Written exam)2
(Activity in class)2
RemarkThis course can be used for final thesis theme
Prerequisites:No prerequisites.
ISVU equivalents:146688;
Proposal made bydr.sc. Sonja Zlatović , prof.v.šk., 11.02.2014.
+P:1.dr.sc. Mandi Orlić Bachler v.pred
P:2.mr. sc. Reni Banov dipl. ing. mat.
P:3. Ivana Božić Dragun dipl.prof.mat.
A:mr. sc. Reni Banov dipl. ing. mat.
A:dr.sc. Mandi Orlić Bachler v.pred
L:dr.sc. Mandi Orlić Bachler v.pred
Probability and Statistics15+15 (13+2+0+0) (90)4.0163444
Code WEB/ISVU24788/163444ECTS4.0Academic year2019/2020
NameProbability and Statistics
Status1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Redovni specijalisti graditeljstva) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Izvanredni specijalisti graditeljstva) - obligatory course
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
15+15 (13+2+0+0)
90
TeachersLectures:1. dr.sc. Mandi Orlić Bachler v.pred
Lectures:2. mr. sc. Reni Banov dipl. ing. mat.
Lectures:3. Ivana Božić Dragun dipl.prof.mat.
Auditory exercises:mr. sc. Reni Banov dipl. ing. mat.
Auditory exercises:dr.sc. Mandi Orlić Bachler v.pred
Laboratory exercises:dr.sc. Mandi Orlić Bachler v.pred
Course objectivesacquiring basic knowledge in probability and statistical data analysis
Learning outcomes:1.calculate probabilities of events using classical definition of probability. Level:6
2.calculate probabilities using sum rule. Level:6
3.calculate conditional probabilities. Level:6
4.calculate probabilities using the law of total probability. Level:6
5.determine expected values, variances and standard deviations of discrete random variables. Level:6
6.distinguish between discrete and continuous random variables. Level:6
7.calculate probabilities in normal distribution. Level:6
8.distinguish between populations and samples. Level:6
9.sketch histograms and frequency polygons. Level:6
10.find sample means and unbiased sample variances. Level:6
11.find confidence intervals for means. Level:6
12.find confidence intervals for variances. Level:6
13.accept or reject statistical hypoteses. Level:6,7
Methods of carrying out lecturesEx cathedra teaching
Methods of carrying out auditory exercisesGroup problem solving
Methods of carrying out laboratory exercisesLaboratory exercises on laboratory equipment
Course content lectures1.Classical definition of probability, 1h, Learning outcomes:1
2.Operations on events, 1h, Learning outcomes:2
3.Conditional probability, 1h, Learning outcomes:3
4.Total probability, 1h, Learning outcomes:4
5.Discrete random variables, 1h, Learning outcomes:5
6.Continuous random variables, 1h, Learning outcomes:6,7
7.Midterm exam, 1h, Learning outcomes:1,2,3,4,5,6,7
8.Statistical population and random sample, 1h, Learning outcomes:8
9.Graphical representation of statistical data, 1h, Learning outcomes:9
10.Estimators, 1h, Learning outcomes:10
11.Confidence intervals for means, 1h, Learning outcomes:11
12.Confidence intervals for variances, 1h, Learning outcomes:12
13.Hypoteses testing, 1h, Learning outcomes:13
14.Final written exam, 1h, Learning outcomes:8,9,10,11,12,13
15.Final oral exam, 1h, Learning outcomes:1,2,3,4,5,6,7,8,9,10,11,12,13
Course content auditory1.Classical definition of probability, 1h, Learning outcomes:1
2.Operations on events, 1h, Learning outcomes:2
3.Conditional probability, 1h, Learning outcomes:3
4.Total probability, 1h, Learning outcomes:4
5.Discrete random variables, 1h, Learning outcomes:5
6.Continuous random variables, 1h, Learning outcomes:6,7
7.Midterm exam, 1h, Learning outcomes:1,2,3,4,5,6,7
8.Statistical population and random sample, 1h, Learning outcomes:8
9.Graphical representation of statistical data, 1h, Learning outcomes:9
10.Estimators, 1h, Learning outcomes:10,11,12
11.Hypoteses testing, 1h, Learning outcomes:13
12.-
13.-
14.Final written exam, 1h, Learning outcomes:8,9,10,11,12,13
15.Final oral exam, 1h, Learning outcomes:1,2,3,4,5,6,7,8,9,10,11,12,13
Course content laboratory1.-
2.-
3.-
4.-
5.-
6.-
7.-
8.-
9.-
10.-
11.-
12.Using computers in statistics, 1h, Learning outcomes:10,11,12
13.Hypoteses testing, 1h, Learning outcomes:13
14.-
15.-
Required materialsBasic: classroom, blackboard, chalk...
General purpose computer laboratory
Exam literature1. S. Suljagić: Vjerojatnost i statistika, skripta, 2003. http://nastava.tvz.hr/ssuljagic/
2. M. Orlić, T. Perkov: Repetitorij matematike za studente graditeljstva, TVZ, Zagreb, 2014.
Additional literature:
1. Ž. Pauše, Vjerojatnost, Školska knjiga, Zagreb, 1974.
2. I. Pavlić, Statistička teorija i primjena, Tehnička knjiga, Zagreb, 1971.
3. K. Singh: Engineering mathematics through applications, Palgrave Macmillan, 2003.
Students obligationsIt is required to achieve at least 30 points during the semester.
Knowledge evaluation during semesterDuring the semester it is possible to achieve a maximum of 60 points, as follows:
- course completed: 30 points,
- tests: 25 points,
- solving problems in class: 5 points.

By achieving at least 40 points, a student is qualified for the oral exam, which is obligatory.
Knowledge evaluation after semesterAt the exam it is possible to achieve a maximum of 40 points. The exam consists of written (for students with less then 40 points achieved during the semester) and oral part.
Student activities:
AktivnostECTS
(Constantly tested knowledge)1
(Written exam)1
(Oral exam)2
RemarkThis course can not be used for final thesis theme
Prerequisites:No prerequisites.
ISVU equivalents:146686;
Proposal made bydr.sc. Mandi Orlić Bachler, 19. 6. 2018.
+P:mr.sc. Petar Adamović prof.v.škole
P:mr.sc. Časlav Dunović , viši predavač
P:dr.sc. Mariela Sjekavica Klepo
A:mr.sc. Petar Adamović prof.v.škole
A:mr.sc. Časlav Dunović , viši predavač
A:dr.sc. Mariela Sjekavica Klepo
S:mr.sc. Petar Adamović prof.v.škole
S:mr.sc. Časlav Dunović , viši predavač
S:dr.sc. Mariela Sjekavica Klepo
Project Management30+15 (4+0+11+0) (75)4.0163450
Code WEB/ISVU24789/163450ECTS4.0Academic year2019/2020
NameProject Management
Status1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Redovni specijalisti graditeljstva) - obligatory course1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Izvanredni specijalisti graditeljstva) - obligatory course
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+15 (4+0+11+0)
75
TeachersLectures:mr.sc. Petar Adamović prof.v.škole
Lectures:mr.sc. Časlav Dunović , viši predavač
Lectures:dr.sc. Mariela Sjekavica Klepo
Auditory exercises:mr.sc. Petar Adamović prof.v.škole
Auditory exercises:mr.sc. Časlav Dunović , viši predavač
Auditory exercises:dr.sc. Mariela Sjekavica Klepo
Seminar exercises:mr.sc. Petar Adamović prof.v.škole
Seminar exercises:mr.sc. Časlav Dunović , viši predavač
Seminar exercises:dr.sc. Mariela Sjekavica Klepo
Course objectivesStudents will master basic elements of project-oriented management of business, production, and service processes.
Learning outcomes:1.formulate/define the project management concept under conditions of uncertainty and limitations in time and resources. Level:6,7
2.select a competent team for project realization. Level:7
3.define an optimum organizational structure for project realization. Level:6,7
4.plan time and resources for project realization. Level:6,7
5.predict project implementation objectives and results under conditions of uncertainty. Level:6,7
6.prepare tasks for the project team. Level:6,7
7.evaluate project risks. Level:6,7
8.assign roles, tasks, duties and responsibilities of each member of the project team. Level:6,7
9.manage project to achieve objectives within the specified scope under continuously varying conditions. Level:6,7
10.manage project team during implementation of the project. Level:6,7
Methods of carrying out lecturesEx cathedra teaching
Case studies
Discussion
Questions and answers
Other
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
Other
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
Course content lectures1.What is a project? , 2h, Learning outcomes:1,2,3,8
2.Basic characteristics and project phases, 2h, Learning outcomes:1,2,3,4,7,8
3.Unreliability of a project, 1h, Learning outcomes:1,2,5,7,8
Project structure, 1h, Learning outcomes:1,3,5,6,7
4.Preparing and making project plans , 2h, Learning outcomes:1,6,9,10
5.Project costs and the flow of information, 2h, Learning outcomes:1,6,9,10
6.Managing projects - Project Manager, 2h, Learning outcomes:1,2,6,7,8,9,10
7.Organizational solutions, 1h, Learning outcomes:1,2,3,6,8
Necessary knowledge - tools - PERT, CPM, PD, Microsoft Project, Transplan, 1h, Learning outcomes:1,4
8.Necessary knowledge - tools - PERT, CPM, PD, Microsoft Project, Transplan, 2h, Learning outcomes:1,4
9.Necessary knowledge - tools - PERT, CPM, PD, Microsoft Project, Transplan, 2h, Learning outcomes:1,4
10.Necessary knowledge - tools - PERT, CPM, PD, Microsoft Project, Transplan, 2h, Learning outcomes:1,4
11.Necessary knowledge - tools - PERT, CPM, PD, Microsoft Project, Transplan, 2h, Learning outcomes:1,4
12.Necessary knowledge - tools - PERT, CPM, PD, Microsoft Project, Transplan, 2h, Learning outcomes:1,4
13.Necessary knowledge - tools - PERT, CPM, PD, Microsoft Project, Transplan, 2h, Learning outcomes:1,4
14.Optimisation of realised plans, 1h, Learning outcomes:1,5,7
Procedures for making project plans, 1h, Learning outcomes:1,4,5,7,9,10
15.Block chart techniques for making project plans, 2h, Learning outcomes:1,5,6,9,10
Course content auditory1.Drawing the structure of a network arrow char, 1h, Learning outcomes:1,2,3,4
2.Calculation back and forth (CPM i PERT, 1h, Learning outcomes:1,2,3,4
3.Calculation back and forth (CPM i PERT), 1h, Learning outcomes:1,2,3,4
4.Determination of the slack of the event and floats, 1h, Learning outcomes:1,2,3,4
5.Drawing PD and calculation of a network, fixed terms and overlaps, 1h, Learning outcomes:1,2,3,4
6.Drawing PD and calculation of a network, fixed terms and overlaps, 1h, Learning outcomes:1,2,3,4
7.Drawing PD and calculation of a network, fixed terms and overlaps, 1h, Learning outcomes:1,2,3,4
8.Drawing a network in a time diagram, 1h, Learning outcomes:1,2,3,4
9.Drawing a network in a time diagram, 1h, Learning outcomes:1,2,3,4
10.Making a network by BK technique, 1h, Learning outcomes:1,2,4
11.Making a network by BK technique, 1h, Learning outcomes:1,2,3,4
12.no classes, 1h
13.no classes, 1h
14.no classes, 1h
15.no classes, 1h
Course content seminars1.no classes, 1h
2.no classes, 1h
3.no classes, 1h
4.no classes, 1h
5.no classes, 1h
6.no classes, 1h
7.no classes, 1h
8.no classes, 1h
9.no classes, 1h
10.no classes, 1h
11.no classes, 1h
12.Preparation of a seminar paper and its presentation in front of a group of students., 1h, Learning outcomes:1,2,3,4,5,6,7,8,9,10
13.Preparation of a seminar paper and its presentation in front of a group of students., 1h, Learning outcomes:1,2,3,4,5,6,7,8,9,10
14.Preparation of a seminar paper and its presentation in front of a group of students., 1h, Learning outcomes:1,2,3,4,5,6,7,8,9,10
15.Preparation of a seminar paper and its presentation in front of a group of students., 1h, Learning outcomes:1,2,3,4,5,6,7,8,9,10
Required materialsBasic: classroom, blackboard, chalk...
Whiteboard with markers
Overhead projector
Video equipment
Exam literature1. Čala,I; i ostali autori: Inženjerski priručnik, dio 4, poglavlja 6. Planiranje i praćenje proizvodnje, Školska knjiga, Zagreb, 2002.
2. Vila, A; Štajdl, B; Čala, I; Karabajić, I: Metode planiranja proizvodnje, Informator, Zagreb, 1982.
3. Vila, A; Leicher, Z: Planiranje proizvodnje i kontrola rokova, Informator, 3. izdanje, Zagreb 1983.
4. Schroeder, Roger,G: Upravljanje proizvodnjom, Mate, Zagreb, 1999.
5. Bilješke koje nastavnik priprema za nastavu

1. Čala, I: Stupnjevito planiranje, izlaganje na savjetovanju Upravljanje proizvodnjom, CDI Zagreb, Briuni, 1989.
2. Dilworth,J.B.: Operations Management, Mc Grow Hill, inc., New York, 1995.
3. Schonberger,R.J., Knod, M.E.: Operations Management, Irwin, 1994.
4. Majstorović, V.: Upravljanje Proizvodnjom i projektima (Production and Project Management), Nakladnici Sveučilište u Mostaru i DAAAM International Vienna, Mostar-Wien 2001.
Students obligationsmaximum of 3 absences from exercises
Knowledge evaluation during semesterRedovitost pohaa#8#15#50$Kolokvij, teorijska pitanja#2#50#50$Programski zadatak#1#35#100$
Knowledge evaluation after semesterWritten and oral exam.
Student activities:
AktivnostECTS
(Project)2
(Written exam)2
RemarkThis course can not be used for final thesis theme
Prerequisites:No prerequisites.
ISVU equivalents:146687;
Proposal made byM.Sc.M.C.E. Časlav Dunović

Elective courses 0.0- ECTS)

DetailsTeachersCourseMode L+(A+L+S+C) (H)EctsCode
+P:doc.dr.sc. Dalija Kuvačić profesor visoke škole
A:doc.dr.sc. Dalija Kuvačić profesor visoke škole
Economics and Management30+15 (15+0+0+0) (75)4.0186270
Code WEB/ISVU25120/186270ECTS4.0Academic year2019/2020
NameEconomics and Management
Status1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Redovni specijalisti graditeljstva) - elective course1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Izvanredni specijalisti graditeljstva) - elective course
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+15 (15+0+0+0)
75
TeachersLectures:doc.dr.sc. Dalija Kuvačić profesor visoke škole
Auditory exercises:doc.dr.sc. Dalija Kuvačić profesor visoke škole
Course objectives
RemarkThis course can not be used for final thesis theme
Prerequisites:No prerequisites.
+P:mr.sc. Sanja Bračun dipl.oec.
A:mr.sc. Sanja Bračun dipl.oec.
Asset Management30+15 (15+0+0+0) (75)4.0186268
Code WEB/ISVU25118/186268ECTS4.0Academic year2019/2020
NameAsset Management
Status1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Redovni specijalisti graditeljstva) - elective course1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Izvanredni specijalisti graditeljstva) - elective course
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+15 (15+0+0+0)
75
TeachersLectures:mr.sc. Sanja Bračun dipl.oec.
Auditory exercises:mr.sc. Sanja Bračun dipl.oec.
Course objectives
RemarkThis course can not be used for final thesis theme
Prerequisites:No prerequisites.
ISVU equivalents:146689;163453;
+P:mr.sc. Lucija Bačić v.pred.
A:mr.sc. Lucija Bačić v.pred.
S:mr.sc. Lucija Bačić v.pred.
Communication Skills30+15 (10+0+5+0) (75)4.0186269
Code WEB/ISVU25119/186269ECTS4.0Academic year2019/2020
NameCommunication Skills
Status1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Redovni specijalisti graditeljstva) - elective course1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Izvanredni specijalisti graditeljstva) - elective course
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+15 (10+0+5+0)
75
TeachersLectures:mr.sc. Lucija Bačić v.pred.
Auditory exercises:mr.sc. Lucija Bačić v.pred.
Seminar exercises:mr.sc. Lucija Bačić v.pred.
Course objectives
RemarkThis course can not be used for final thesis theme
Prerequisites:No prerequisites.
ISVU equivalents:146690;
+P: Ljiljana Matuško Antonić
S: Ljiljana Matuško Antonić
Bussiness Ethics and Law30+15 (0+0+15+0) (75)4.0186267
Code WEB/ISVU25117/186267ECTS4.0Academic year2019/2020
NameBussiness Ethics and Law
Status1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Redovni specijalisti graditeljstva) - elective course1st semester - Polytechnic graduate professional study programme specialization in Civil Engineering (NOVI Izvanredni specijalisti graditeljstva) - elective course
Teaching modeLectures + exercises (auditory + laboratory + seminar + metodology + construction)
work at home
30+15 (0+0+15+0)
75
TeachersLectures: Ljiljana Matuško Antonić
Seminar exercises: Ljiljana Matuško Antonić
Course objectives
RemarkThis course can not be used for final thesis theme
Prerequisites:No prerequisites.
ISVU equivalents:146692;163452;