diplomsko delo
Andrej Premrn (Author), Viljan Mahnič (Mentor)

Abstract

V diplomskem delu je predstavljen razvoj spletne aplikacije za ocenjevanje ponudnikov prehrane na študentske bone. Opisane so razvojne tehnologije in orodja, zahtevane funkcionalnosti, razvojni proces in končna funkcionalnost aplikacije. Osredotočili smo se tudi na odzivnost spletne strani, da lahko aplikacijo uporabljamo tudi na pametnih prenosnih napravah. Pri razvoju smo se osredotočili na platformo Node.js, obogateno z ogrodjem Express.js in druge spletne tehnologije, kot so: Jade, Bootstrap in jQuery. Podatke smo pridobivali s tehniko grabljenja podatkov, ki smo jo realizirali s programskim jezikom Python. Za hranjenje podatkov smo uporabili podatkovno bazo MySQL. Funkcionalnost aplikacije obsega iskanje ponudnikov študentske prehrane, njihovo anonimno ocenjevanje in komentiranje ter iskanje ponudnikov v bližini trenutne lokacije, kar je ena izmed glavnih funkcionalnosti.

Keywords

spletna aplikacija;Node.js;odzivnost spletne strani;subvencionirana študentska prehrana;računalništvo;računalništvo in informatika;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [A. Premrn]
UDC: 004.774:378.014.543.3(043.2)
COBISS: 1536564419 Link will open in a new window
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Downloads: 172
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Other data

Secondary language: English
Secondary title: Web application for rating subsidized students meals providers
Secondary abstract: The thesis describes the development of a web application for rating subsidized students meals providers. It describes development technologies and tools used, required functionality, development process and final functionality of the application. We also focused on responsive web design, so that the application can also be used on smart handheld devices. While developing we focused on Node.js platform enriched with Express.js framework and other web technologies such as: Jade, Bootstrap and jQuery. Data about providers was acquired with web scraping technique, which we implemented with the programming language Python. For data storage we used a MySQL database. The application functionality consists of searching for providers, their anonymous rating and commenting and also searching for providers near your current location, which is one of the main functionalities.
Secondary keywords: web application;Node.js;responsive web design;subsidized students meals;computer science;computer and information science;diploma;
File type: application/pdf
Type (COBISS): Bachelor thesis/paper
Study programme: 1000468
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 32 str.
ID: 8966414
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