Subject: Design patterns (17 - IZOO21)


Basic Information

CategoryProfessional-applicative
Scientific or art field:Information-Communication Systems
InterdisciplinaryNo
ECTS6
Native organizations units

Course native organizational units not found!
Course specification

Course is active from 12.03.2014..


Precondition courses

Course idMandatoryMandatory
Object oriented information technologiesYesNo
The aim of the subject is to provide students with knowledge of design patterns in the context of object-oriented modeling, training for a systematic approach to analyze the problems that arise in practice, recognizing the possibilities of applying the appropriate forms as solutions identified problems and their implementation.
Students will learn that the advantages of design patterns and learn how to apply them using the UML modeling language and the selected OO programming language.
Recap of the concepts of object data model. The concept of a design pattern. Types of design patterns.Creational patterns. Structural patterns. Behavioral patterns.
Lectures; computer exercises; consultation; individual work on the obligatory duties. Throughout the process of teaching, students are encouraged to intensive communication, critical reasoning, independent work and an active attitude towards the teaching process.
AuthorsNameYearPublisherLanguage
Larman C.Applying UML and Patterns2004Prentice HallEnglish
Gamma E., Helm R., Johnson R., Vlissides J.Design Patterns: Elements of Reusable Object-Oriented Software1994Addison WesleyEnglish
Metsker S. J.Design Patterns Workbook2002Addison WesleyEnglish
Shalloway A., Trott R. J.Projektni obrasci2004Mikro knjigaSerbian language
Course activity Pre-examination ObligationsNumber of points
ProjectYesYes30.00
TestYesYes10.00
Exercise attendanceYesYes5.00
Lecture attendanceYesYes5.00
Oral part of the examNoYes50.00
Name and surnameForm of classes
Missing picture!

Stefanović Miroslav
Assistant Professor

Lectures
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Štaka Marko
Teaching Associate

Computational classes
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Šaranović Maša
Teaching Associate

Computational classes
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Fabri Vladimir
Assistant - Master

Computational classes
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Žuvela Tamara
Assistant - Master

Computational classes