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master's thesis
Angular
Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2017. urn:nbn:hr:126:762763
Maltar, Jurica
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Applied Mathematics and Computer Science
Computer Science and Machine Learning Research Group

Institutional repository: Repository of School of Applied Mathematics and Informatics

Cite this document

Maltar, J. (2017). Angular (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:762763

Maltar, Jurica. "Angular." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2017. https://urn.nsk.hr/urn:nbn:hr:126:762763

Maltar, Jurica. "Angular." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2017. https://urn.nsk.hr/urn:nbn:hr:126:762763

Maltar, J. (2017). 'Angular', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 25 January 2025, https://urn.nsk.hr/urn:nbn:hr:126:762763

Maltar J. Angular [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2017 [cited 2025 January 25] Available at: https://urn.nsk.hr/urn:nbn:hr:126:762763

J. Maltar, "Angular", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:126:762763

Metadata
TitleAngular
Title (english)Angular
AuthorJurica Maltar
MentorDomagoj Matijević (mentor)
Committee memberDomagoj Ševerdija (predsjednik povjerenstva)
Committee memberDomagoj Matijević (član povjerenstva)
Committee memberZoran Tomljanović (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Applied Mathematics and Computer Science)
(Computer Science and Machine Learning Research Group)
Osijek
Defense date and country2017-09-15, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
Ovaj diplomski rad opisuje Angular okvir i pripadne mehanizme koji omogućuju brz razvoj klijentskih aplikacija, neovisno radi li se o mobilnoj ili web platformi. Budući da se radi o univerzalnom okviru, nije potrebno poznavati više programskih jezika za različite platforme i većina se izvornog koda može primjeniti na svakoj od platformi. Angular aplikacija sastoji se od komponenata koje se ugnježđuju u stablo, a skup komponenata koje tvore logičku cjelinu smješten je unutar modula. Za manipulaciju prikaza brinu se direktive, dok ubrizgavanjem ovisnosti opskrbljujemo različite dijelove aplikacije s objektima koji su potrebni za njihov rad. Razvijajući aplikacije Angular okvirom, primjenjujemo programske paradigme poput reaktivnog programiranja kako bismo na što efikasniji način vodili računa o ažuriranosti podataka koji predstavljaju stanje aplikacije. Uz Angular, bitno je spomenuti i React - konkurentski i trenutno najpopularniji univerzalni okvir.
Abstract (english)
This master’s thesis describes the Angular framework and the mechanisms included within that allow for the fast development of client applications both on mobile and web platforms. Since it is a universal framework, knowledge of multiple programming languages for different platforms is not required and the majority of the source code can be used on every platform. An Angular application consists of components nested within a tree and a set of components comprises a logical unit is located within a module. View manipulation is the task of the directives, while by dependency injection we supply various parts of the application with objects that are necessary for its functioning. By developing applications using the Angular framework we apply programming paradigms such as reactive programming to efficiently take into account whether the data that represents the state of the application is up-to-date. Alongside Angular it is important to mention React as well - a rival and currently most popular universal framework.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:126:762763
Study programmeTitle: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics
Course: Mathematics and Computer Science
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2017-09-18 10:16:35