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master's thesis
Javascript na poslužiteljskoj strani
Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2018. urn:nbn:hr:126:709153
Kolarević, Davor
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Applied Mathematics and Computer Science
Computer Science and Machine Learning Research Group

Cite this document

Kolarević, D. (2018). Javascript na poslužiteljskoj strani (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:709153

Kolarević, Davor. "Javascript na poslužiteljskoj strani." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2018. https://urn.nsk.hr/urn:nbn:hr:126:709153

Kolarević, Davor. "Javascript na poslužiteljskoj strani." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2018. https://urn.nsk.hr/urn:nbn:hr:126:709153

Kolarević, D. (2018). 'Javascript na poslužiteljskoj strani', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 25 September 2023, https://urn.nsk.hr/urn:nbn:hr:126:709153

Kolarević D. Javascript na poslužiteljskoj strani [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2018 [cited 2023 September 25] Available at: https://urn.nsk.hr/urn:nbn:hr:126:709153

D. Kolarević, "Javascript na poslužiteljskoj strani", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:126:709153

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Metadata
TitleJavascript na poslužiteljskoj strani
Title (english)Server - side Javascript
AuthorDavor Kolarević
MentorDomagoj Matijević (mentor)
Committee memberSlobodan Jelić (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 country2018-02-06, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
Ovaj diplomski rad opisuje korištenje JavaScript programskog jezika na poslužiteljskog strani. JavaScript je od programskog jezika koji se u svojim počecima koristio za jednostavne animacije napredovao do ozbiljnog programskog jezika pomoću kojega je moguće stvoriti full stack web aplikacije. Objasniti će se klijent-poslužitelj model koji se koristi za izradu modernih web aplikacija i REST princip koji je u današnje vrijeme gotovo neizostavni način izrade poslužitelja. Platforma koja nam omogućuje izvšavanja JavaScript programskog jezika izvan web preglednika je Node.js. Logika Node.js platforme je mala jezgra s osnovnim funkcionalnostima, a ostale funkcionalnosti se proširuju takozvanim modulima koji se na jednostavan način distribuiraju preko NPM-a (Node package manager ). U kombinaciji s Express.js okvirom moguće je na brz i jednostavan način stvoriti REST model poslužitelja koji nudi odlične performanse.
Abstract (english)
In this master thesis we will describe use of JavaScript programming language for building web servers. From language that was used for animating web pages, JavaScript grew to mature language for building full stack web applications. We will describe client-server model that is used for modern web applications and REST principle that is almost indispensable for today’s web servers. Thanks to Node.js platform we can use JavaScript outside web browser. Node.js philosophy is small kernel that can be expanded with outside modules provided from NPM (Node package manager ) service. Combined with Express.js package for simple and fast development of HTTP servers, we can build REST web servers that will have excellent performances.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:709153
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
RepositoryRepository of School of Applied Mathematics and Computer Science
Created on2018-02-13 07:18:08