+  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)  4.0  163457 
Code WEB/ISVU  23653/163457  ECTS  4.0  Academic year  2018/2019  Name  Structural Engineering  Status  1st 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 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  Prerequisites:  No prerequisites.  Proposal made by  dr.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  Mathematics  30+30 (30+0+0+0) (120)  6.0  146685 
Code WEB/ISVU  23281/146685  ECTS  6.0  Academic year  2018/2019  Name  Mathematics  Status  1st 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 mode  Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home  30+30 (30+0+0+0) 120  Teachers  Lectures: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 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  It is required to achieve at least 30 points during the semester.  Knowledge evaluation during semester  During 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 semester  At 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:  Aktivnost  ECTS  (Constantly tested knowledge)  2  (Written exam)  2  (Oral exam)  2 
 Remark  This course can not be used for final thesis theme  Prerequisites:  No prerequisites.  Proposal made by  T. 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 Management  30+15 (0+0+2+13) (75)  4.0  163451 
Code WEB/ISVU  23647/163451  ECTS  4.0  Academic year  2018/2019  Name  Quality Management  Status  1st 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 mode  Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home  30+15 (0+0+2+13) 75  Teachers  Lectures: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 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.classify causes of problems by brainstorming and using the Ishikawa causeandeffect 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 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. 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 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.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 materials  Basic: classroom, blackboard, chalk... General purpose computer laboratory Overhead projector
 Exam literature  Ivica Oslić. 2008. Kvaliteta i poslovna izvrsnost. Mep Consult d.o.o. Zagreb Olga ŠtajdoharPađen. 2015. Plivati s ISOom 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. McGrawHill, 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 semester  10 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 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  Prerequisites:  No prerequisites.  ISVU equivalents:  146688;  Proposal made by  dr.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 Statistics  15+15 (13+2+0+0) (90)  4.0  163444 
Code WEB/ISVU  23645/163444  ECTS  4.0  Academic year  2018/2019  Name  Probability and Statistics  Status  1st 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 mode  Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home  15+15 (13+2+0+0) 90  Teachers  Lectures: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 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. 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 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 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 auditory  1.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 laboratory  1. 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 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. 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  It is required to achieve at least 30 points during the semester.  Knowledge evaluation during semester  During 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 semester  At 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:  Aktivnost  ECTS  (Constantly tested knowledge)  1  (Written exam)  1  (Oral exam)  2 
 Remark  This course can not be used for final thesis theme  Prerequisites:  No prerequisites.  ISVU equivalents:  146686;  Proposal made by  dr.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 Management  30+15 (4+0+11+0) (75)  4.0  163450 
Code WEB/ISVU  23646/163450  ECTS  4.0  Academic year  2018/2019  Name  Project Management  Status  1st 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 mode  Lectures + exercises (auditory + laboratory + seminar + metodology + construction) work at home  30+15 (4+0+11+0) 75  Teachers  Lectures: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 objectives  Students will master basic elements of projectoriented 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, MostarWien 2001.  Students obligations  maximum of 3 absences from exercises  Knowledge evaluation during semester  Redovitost pohaa#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  Prerequisites:  No prerequisites.  ISVU equivalents:  146687;  Proposal made by  prof.dr.sc. Vladimir Skendrović, 15.6.2012 
