Application of a new technology stack in the development of the mobile app «Schedule of classes»

Author:

Popov A A,Gritsenko E M,Satsuk M M,Artyshko A A,Mironov D E

Abstract

Abstract The task of improving the effectiveness of activities aimed at prompt receipt of information by students of Reshetnev Siberian State University of Science and Technology is solved by using the developed mobile application «Schedule of classes». Due to the heavy load on the University’s unified server, there are temporary delays in accessing the main site, which makes it inconvenient to use it. In this regard, there is a need to solve this problem by bringing the described process to partial autonomy. This approach will allow you to combine high performance due to the speed of the mobile operating system and expanding the functionality of both the application itself and the means of sending information from the management of the Institute to students. The purpose of this work is to study and analyze existing mobile applications of other universities, their advantages and disadvantages. Based on the research, develop a mobile application, agreeing with the Directorate of the Institute of Informatics and telecommunications tasks. This article presents the main aspects of the design and software solution. The software solution is implemented in the Android Studio integrated development environment in the Dart programming language, using the Flutter SDK.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference10 articles.

1. Class Schedule Algorithm;Beregovyh;Artificial Intelligence,2009

2. Complex of algorithms for building a University schedule 2: Structure of data representation and algorithm of the reference solution;Bezginov;Bulletin of the Baltic Federal University named after I. Kant,2011

3. SQL: database Programming;Carvin;Typical errors and their elimination,2012

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Creation of a Mobile Application to Help Students Check Their Lecture Schedule;Advances in Science, Technology & Innovation;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3