+ | 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 Engineering | 15+30 (10+0+0+20) (75) | 4 | 163457 | NO |
Code WEB/ISVU
| 30424/163457
| ECTS
| 4
| Academic year
| 2024/2025
|
Name
| Structural Engineering
|
Status
| 1st semester - Civil Engineering (Izvanredni diplomski graditeljstvo) - obligatory course1st semester - Civil Engineering (Redovni diplomski graditeljstvo) - obligatory course
|
Department
|
|
Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home
| 15+30 (10+0+0+20) 75
|
Teachers
| Lectures: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 objectives
| An 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 lectures | Ex cathedra teaching Case studies Simulations Modelling Questions and answers
| Methods of carrying out auditory exercises | Group problem solving Computer simulations
| How construction exercises are held | Other
| Course content lectures | 1.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 auditory | 1.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 constructures | 1.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 materials | Basic: classroom, blackboard, chalk... Whiteboard with markers
| Exam literature | 1. Bilješke s predavanja.
2. Werner - Inženjesko modeliranje 2 [22.05.18]
3. Jurica Sorić - Metoda konačnih elemenata | Students obligations | In 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 semester | In 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 semester | The 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: | Aktivnost | ECTS | (Classes attendance) | 1 | (Constantly tested knowledge) | 1 | (Written exam) | 1 | (Oral exam) | 1 |
| Remark | This course can be used for final thesis theme | Proposal made by | dr.sc. Dalibor Gelo mag.ing.aedif., 24.10.2016 | |
+ | P:1.doc.dr.sc. Mandi Orlić Bachler prof.struč.stud. P:2. Luka Marohnić P:3.dr. sc. Reni Banov v. pred. P:4.dr. sc. Ivana Božić Dragun v. pred. A: Luka Marohnić A:doc.dr.sc. Mandi Orlić Bachler prof.struč.stud. | Mathematics | 30+30 (30+0+0+0) (120) | 6 | 146685 | NO |
Code WEB/ISVU
| 30205/146685
| ECTS
| 6
| Academic year
| 2024/2025
|
Name
| Mathematics
|
Status
| 1st semester - Civil Engineering (Izvanredni diplomski graditeljstvo) - obligatory course1st semester - Civil Engineering (Redovni diplomski graditeljstvo) - obligatory course
|
Department
|
|
Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home
| 30+30 (30+0+0+0) 120
|
Teachers
| Lectures:1. doc.dr.sc. Mandi Orlić Bachler prof.struč.stud. Lectures:2. Luka Marohnić Lectures:3. dr. sc. Reni Banov v. pred. Lectures:4. dr. sc. Ivana Božić Dragun v. pred. Auditory exercises: Luka Marohnić Auditory exercises:doc.dr.sc. Mandi Orlić Bachler prof.struč.stud.
|
Course objectives
| acquiring 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 lectures | Ex cathedra teaching
| Methods of carrying out auditory exercises | Group problem solving
| Course content lectures | 1.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 auditory | 1.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 materials | Basic: classroom, blackboard, chalk...
| Exam literature | 1. 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 obligations | 70% of class attendance of the total class number. In case of less class attendance, valid excuse and submitted obligatory assignments are required.
| Knowledge evaluation during semester | Total three preliminary practical exams.
1. preliminary practical exam: eliminatory; pass: 50% od total points;
2. preliminary practical exam: eliminatory; pass: 50% of total points;
3. preliminary practical exam: eliminatory; pass: 50% of total points;
Marks:
50% - 62% od total points at both preliminary exams = sufficient (2)
63% - 74% od total points at both preliminary exams = good (3)
75% - 89% od total points at both preliminary exams = very good (4)
90% - 100% od total points at both preliminary exams = excellent (5)
Remark: In valid cases preliminary practical exam can be taken using LMS. | Knowledge evaluation after semester | Practical exams:
pass: 50% of total points;
Marks:
50% - 62% of total points = sufficient (2)
63% - 74% of total points = good (3)
75% - 89% of total points = very good (4)
90% - 100% of total points = excellent (5)
Remark: In valid cases practical exam can be taken using LMS. | Student activities: | Aktivnost | ECTS | (Constantly tested knowledge) | 2 | (Written exam) | 2 | (Oral exam) | 2 |
| Remark | This course can not be used for final thesis theme | Proposal made by | dr.sc. Mandi Orlić Bachler, 17.7.2020. | |
+ | P:1.mr.sc. Donka Wurth v. predavač P: Olga Štajdohar-Pađen S: Martina Huljev mag.ing.aedif. S:mr.sc. Donka Wurth v. predavač K: Martina Huljev mag.ing.aedif. K:mr.sc. Donka Wurth v. predavač | Quality Management | 30+15 (0+0+2+13) (75) | 4 | 163451 | NO |
Code WEB/ISVU
| 30423/163451
| ECTS
| 4
| Academic year
| 2024/2025
|
Name
| Quality Management
|
Status
| 1st semester - Civil Engineering (Izvanredni diplomski graditeljstvo) - obligatory course1st semester - Civil Engineering (Redovni diplomski graditeljstvo) - obligatory course
|
Department
|
|
Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home
| 30+15 (0+0+2+13) 75
|
Teachers
| Lectures:1. mr.sc. Donka Wurth v. predavač Lectures: Olga Štajdohar-Pađen Seminar exercises: Martina Huljev mag.ing.aedif. Seminar exercises:mr.sc. Donka Wurth v. predavač Construction exercises: Martina Huljev mag.ing.aedif. Construction exercises:mr.sc. Donka Wurth v. predavač
|
Course objectives
| Students 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.formulate quality management methods in individual phases of the construction project cycle.. Level:6,7 3.compare appropriate statistical methods in quality analysis. Level:6,7 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 8.analyze the flow of quality control in the execution phase of a construction project of limited complexity. Level:6
| Methods of carrying out lectures | Ex 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 seminars | Other
| How construction exercises are held | Group problem solving Traditional literature analysis Data mining and knowledge discovery on the Web Essay writing Discussion, brainstorming Interactive problem solving Workshop
| Course content lectures | 1.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. Oslić. Juran., 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 seminars | 1. 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 constructures | 1.Create a Laboratory Quality Control Manual, 4h, Learning outcomes:1,4,5 2. Creation of a control plan for construction materials, 4h, Learning outcomes:1,2,7 3.Conformity assessment of building materials., 4h, Learning outcomes:1,3,6,7 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15.
| Required materials | Basic: classroom, blackboard, chalk... Whiteboard with markers Overhead projector
| Exam literature | Ivica 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 | attending lectures (75%)
seminar and construction exercises (80%)
2 colloquia | Knowledge evaluation during semester | class activity and attendance (40)
and 2 tests (30 points each, 60 points in total).
. | Knowledge evaluation after semester | Written exam: 60 points of possible 100 points. | Student activities: | Aktivnost | ECTS | (Written exam) | 2 | (Activity in class) | 2 |
| Remark | This course can be used for final thesis theme | ISVU equivalents: | 146688; | Proposal made by | mr.sc. Donka Würth, v.pred. 28.09.2022. | |
+ | P:1.doc.dr.sc. Mandi Orlić Bachler prof.struč.stud. P:2.dr. sc. Reni Banov v. pred. P:3.dr. sc. Ivana Božić Dragun v. pred. A:dr. sc. Reni Banov v. pred. A:doc.dr.sc. Mandi Orlić Bachler prof.struč.stud. L:doc.dr.sc. Mandi Orlić Bachler prof.struč.stud. | Probability and Statistics | 15+15 (13+2+0+0) (90) | 4 | 163444 | NO |
Code WEB/ISVU
| 30421/163444
| ECTS
| 4
| Academic year
| 2024/2025
|
Name
| Probability and Statistics
|
Status
| 1st semester - Civil Engineering (Izvanredni diplomski graditeljstvo) - obligatory course1st semester - Civil Engineering (Redovni diplomski graditeljstvo) - obligatory course
|
Department
|
|
Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home
| 15+15 (13+2+0+0) 90
|
Teachers
| Lectures:1. doc.dr.sc. Mandi Orlić Bachler prof.struč.stud. Lectures:2. dr. sc. Reni Banov v. pred. Lectures:3. dr. sc. Ivana Božić Dragun v. pred. Auditory exercises:dr. sc. Reni Banov v. pred. Auditory exercises:doc.dr.sc. Mandi Orlić Bachler prof.struč.stud. Laboratory exercises:doc.dr.sc. Mandi Orlić Bachler prof.struč.stud.
|
Course objectives
| acquiring 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 and probabilities using the law of total probability. Level:6 4.calculate geometric 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 14.determine linear regression line, Pearson and Spearman correlation coefficient. Level:6
| Methods of carrying out lectures | Ex cathedra teaching
| Methods of carrying out auditory exercises | Group problem solving
| Methods of carrying out laboratory exercises | Laboratory exercises on laboratory equipment
| Course content lectures | 1.Classical definition of probability, 1h, Learning outcomes:1 2.Operations on events, 1h, Learning outcomes:2 3.Conditional probabilities and probabilities using the law of total probability, 1h, Learning outcomes:3 4.Geometric 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.Linear regression, 1h, Learning outcomes:14 15.Midterm exam, 1h, Learning outcomes:8,9,10,11,12,13,14
| Course content auditory | 1.Classical definition of probability, 1h, Learning outcomes:1 2.Operations on events, 1h, Learning outcomes:2 3.Conditional probabilities and probabilities using the law of total probability, 1h, Learning outcomes:3 4.Geometric 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.Linear regression, 1h, Learning outcomes:14 13.- 14.- 15.Midterm exam, 1h, Learning outcomes:8,9,10,11,12,13,14
| Course content laboratory | 1.- 2.- 3.- 4.- 5.- 6.- 7.- 8.- 9.- 10.- 11.- 12.- 13.Using computers in statistics, 1h, Learning outcomes:9,10,11,12,14 14.Hypoteses testing, 1h, Learning outcomes:13 15.-
| Required materials | Basic: classroom, blackboard, chalk... General purpose computer laboratory
| Exam literature | 1. 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.
3. M. Orlić Bachler, I. Volarić: Onove računalnog programa Maxima, TVZ, Zagreb, 2020.
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 obligations | 70% of class attendance of the total class number. In case of less class attendance, valid excuse and submitted obligatory assignments are required. | Knowledge evaluation during semester | Total three preliminary practical exams.
1. preliminary practical exam: eliminatory; pass: 50% od total points;
2. preliminary practical exam: eliminatory; pass: 50% of total points;
3. preliminary practical exam: eliminatory; pass: 50% of total points;
Marks:
50% - 62% od total points at both preliminary exams = sufficient (2)
63% - 74% od total points at both preliminary exams = good (3)
75% - 89% od total points at both preliminary exams = very good (4)
90% - 100% od total points at both preliminary exams = excellent (5)
Remark: In valid cases preliminary practical exam can be taken using LMS. | Knowledge evaluation after semester | Practical exams:
pass: 50% of total points;
Marks:
50% - 62% of total points = sufficient (2)
63% - 74% of total points = good (3)
75% - 89% of total points = very good (4)
90% - 100% of total points = excellent (5)
Remark: In valid cases practical exam can be taken using LMS. | Student activities: | Aktivnost | ECTS | (Constantly tested knowledge) | 1 | (Written exam) | 1 | (Oral exam) | 2 |
| Remark | This course can not be used for final thesis theme | ISVU equivalents: | 146686; | Proposal made by | dr.sc. Mandi Orlić Bachler, 17.7.2020. | |
+ | P:mr.sc. Časlav Dunović , viši predavač P:doc.dr.sc. Mariela Sjekavica Klepo v.pred. A:mr.sc. Časlav Dunović , viši predavač A:doc.dr.sc. Mariela Sjekavica Klepo v.pred. S:mr.sc. Časlav Dunović , viši predavač S:doc.dr.sc. Mariela Sjekavica Klepo v.pred. | Project Management | 30+15 (4+0+11+0) (75) | 4 | 163450 | NO |
Code WEB/ISVU
| 30422/163450
| ECTS
| 4
| Academic year
| 2024/2025
|
Name
| Project Management
|
Status
| 1st semester - Civil Engineering (Izvanredni diplomski graditeljstvo) - obligatory course1st semester - Civil Engineering (Redovni diplomski graditeljstvo) - obligatory course
|
Department
|
|
Teaching mode
| Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home
| 30+15 (4+0+11+0) 75
|
Teachers
| Lectures:mr.sc. Časlav Dunović , viši predavač Lectures:doc.dr.sc. Mariela Sjekavica Klepo v.pred. Auditory exercises:mr.sc. Časlav Dunović , viši predavač Auditory exercises:doc.dr.sc. Mariela Sjekavica Klepo v.pred. Seminar exercises:mr.sc. Časlav Dunović , viši predavač Seminar exercises:doc.dr.sc. Mariela Sjekavica Klepo v.pred.
|
Course objectives
| Students 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 lectures | Ex 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 exercises | Group 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 seminars | Group problem solving Discussion, brainstorming
| Course content lectures | 1.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 auditory | 1.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 seminars | 1.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 materials | Basic: classroom, blackboard, chalk... Whiteboard with markers Overhead projector Video equipment
| Exam literature | 1. 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 obligations | maximum of 3 absences from exercises | Knowledge evaluation during semester | Redovitost pohađanja#8#15#50$Kolokvij, teorijska pitanja#2#50#50$Programski zadatak#1#35#100$ | Knowledge evaluation after semester | Written and oral exam. | Student activities: | Aktivnost | ECTS | (Project) | 2 | (Written exam) | 2 |
| Remark | This course can not be used for final thesis theme | ISVU equivalents: | 146687; | Proposal made by | M.Sc.M.C.E. Časlav Dunović | |