Tezislər / Theses

 

Student Module - 
Student is the most common user type in the system. 
Student can view his/her transcript, selecting courses and teachers, and 
schedule their classes. 
 

Teacher Module - 
The management of student assessment is 
performed by teacher
References 
[1] Gemmell, M., & Pagano, R., "A post-implementation evaluation of a student information 
system in the UK higher education sector", "Electronic journal of information systems 
evaluation", 2003 
[2] Hendra, Arifin Y, “Web-based Usability Measurement for Student Grading Information 
System”, Procedia Computer Science, Vol.238-247, 2018 
AUTOMATE PROCESS IN RECRUITMENT SERVICES AGENCIES 
USING SCRAPING
Asadullah Jamalov 
Baku Higher Oil School
Baku, Azerbaijan 
[e-mail] 
Supervisor: Ph.D, Associate Professor Mahammad Sharifov 
Keywords:
web development, data scraping, software automation
In modern world, data scraping is one of the most powerful tools in 
software engineering field. Different kind of services can be automated using 
web crawling techniques. In this thesis, I will briefly introduce the automation 
of the process in recruitment services agencies using information scraping 

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THE 3
rd
 INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS 
dedicated to the 99
th
anniversary of the National Leader of Azerbaijan Heydar Aliyev
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method. It is an indisputable fact that, in today’s world, most of the job 
seekers and human resources specialists use technological advantages of 
digital era for finding job and hiring relevant employees, respectively. 
However, in this thesis, I will mainly focus on the recruitment side of the 
process. As it is crystal clear, HR specialists and managers hire employees 
based on technical tests, non-technical and technical interviews, small sized 
real case problem solving (or project) and etc. Nevertheless, the most 
decisive point in employee hiring is the first stage, which is CV screening. 
Most of the candidates are eliminated in the first step of the process. That is 
why, human resource specialists need to screen more resumes to find 
enough candidates for vacant positions. It is also true that, candidates can 
place their CVs in different web sites or social media platforms (LinkedIn is 
the most prominent one) which accumulates huge amount of data. Therefore, 
we can use this big data to help us in decision making of candidate hiring 
process. More in detail, we can scrape these resumes and store them into 
one or multiple databases and using sophisticated filters, we can access 
needed part of this data. 
As we finished with the conceptual analysis part, I want to mention a little 
bit about the technical part of the project. Firstly, we need to scrape data from 
the internet using different web crawling techniques and tools. Most 
prominent ones for this purpose are JSoup (Java) and BeautifulSoup 
(Python). At this point, I found myself in a dilemma for choosing JSoup or 
BeautifulSoup. However, JSoup was decided because the backend part of 
the project will also build on Java. As it comes to the backend part, Spring 
Framework (Java) can be better choice for our case because of its 
advantages of loose coupling (through dependency injection), boilerplate 
reduction (through aspects and templates) and etc. For the frontend part, I 
will go with the conventional way by using HTML, CSS, and JavaScript triple. 
In terms of database management system (or simply RDBMS), PostgreSQL 
is planned to be used. The main reasons behind choosing Postgres are being 
open source, no licence costs, scalability, reliability and others.