Aplikacija za praćenje rangiranja sveučilišta prema Šangajskoj listi

undergraduate thesis

• Author: Ivan Bilobrk
• Mentor: Igor Mekterović (mentor)
• Committee member: Igor Mekterović (predsjednik povjerenstva)
• Committee member: Ljiljana Brkić (član povjerenstva)
• Committee member: Melita Fertalj (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-07-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Završni rad razmatra izradu aplikacije za praćenje rangiranja sveučilišta u podru-
čjima Computer Science & Engineering (CSE) i Electrical & Electronic Engineering
(EEE) prema algoritmu Shanghai Ranking sustava. Aplikacija rješava problem
nedostupnosti uvida u rang i vrijednosti indikatora za niže rangirana sveučilišta na stra-
nici Shanghai Ranking te nudi praćenje procijenjenih vrijednosti indikatora i ranga za
trenutnu godinu prije nego što izad̄e službena Shanghai Ranking rang lista. Korisniku
nudi tablični prikaz procijenjene rang liste s vrijednostima indikatora koji se koriste
za njezin izračun, grafički prikaz promjene vrijednosti indikatora i ranga odabranog
sveučilišta, usporedbu procijenjenog rangiranja sa Shanghai Ranking sustavom te pre-
tragu baze podataka prema imenu sveučilišta. Glavne tehnologije korištene za izradu
aplikacije su: React, Node.js, Express.js, PostgreSQL, Puppeteer i Docker.

Abstract (english)

Final work considers the creation of application for monitoring university rankings
in the fields of Computer Science & Engineering (CSE) and Electrical & Electronic
Engineering (EEE) according to the Shanghai Ranking system algorithm. The appli-
cation solves the problem of the unavailability of ranking data for lower-ranked uni-
versities and offers monitoring of the ranking assessment for the current year before
the official Shanghai Ranking ranking list is out. It offers the user a tabular view of the
estimated ranking along with the values of the indicators used to calculate the
ranking, graphical representation of changes in the ranking data of the selected uni-
versity, comparison of the ranking assessment with the Shanghai Ranking data, and
database search by university name. The main technologies used to create the applica-
tion are: React, Node.js, Express.js, PostgreSQL, Puppeteer and Docker.

• Keywords: Shanghai Ranking; Computer Science & Engineering (CSE); Electrical & Electronic Engineering (EEE); Puppeteer; Node.js; Express; React; PostgreSQL; procjena rangiranja; Docker; grafički prikaz vrijednosti indikatora
• Keywords (english): Shanghai Ranking; Computer Science & Engineering (CSE); Electrical & Electronic Engineering (EEE); Puppeteer; Node.js; Express; React; PostgreSQL; ranking assessment; Docker; graphic display of ranking data
• Language: croatian
• URN:NBN: urn:nbn:hr:168:642507
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-07-13 09:56:46