Automated Information System "Distribution of the Teaching Load of the Teacher"

2021 ◽  
Vol 27 (3) ◽  
pp. 160-166
Author(s):  
M. A. Kolokoltsev ◽  
◽  
U. A. Mikhalyova ◽  
Keyword(s):  
Information System ◽  
Data Model ◽  
Automated System ◽  
Relational Data ◽  
Teaching Load ◽  
Software Products ◽  
Relational Data Model ◽  
Private Organizations ◽  
Software Product ◽  
Automated Information System

This article discusses the development of an automated information system "Distribution of teaching load of the teacher" based on a relational data model. Existing modern software products for planning the teaching load of a teacher are a commercial product of universities or private organizations. They have many additional functions that are not entirely necessary for a particular university. Therefore, there is a need to create its own automated system for distributing the teaching load of a teacher, which will be easy to use and automatically generates reporting documents in exact accordance with the forms of the university's reporting documentation. The proposed automated information system "Distribution of the teaching load of the teacher" uses a relational data model, since such a model allows information to be represented using interrelated tables in which records are unique. The need to create this system is to save the time of the head of the department, who are responsible for checking the correctness of the distribution of the annual teaching load between teachers. This software product is a logically complete product and ready to use. In the future, it is planned to create a platform for the schedule also for other reporting documents related to the reports of the department and simplifying their preparation. The fact that this system is a separate module allows you to use it in any university. The required data is loaded by the reporting data compiler. All reports are generated in MS Excel format and can be used for further analysis and processing.

scholarly journals Using modern information technologies for sanitary and epidemiologic well-being maintenance during mass events with international participation

2015 ◽  
Vol 96 (2) ◽  
pp. 241-248 ◽  
Author(s):  
M A Patyashina ◽  
L R Yuzlibaeva
Keyword(s):  
Information System ◽  
Information Technologies ◽  
Disease Prevalence ◽  
Automated System ◽  
Parasitic Diseases ◽  
Epidemiological Analysis ◽  
Software Products ◽  
Automated Information System ◽  
Modern Information ◽  
The Republic

Aim. To assess the system for registration and account of infectious and parasitic diseases in Republic of Tatarstan useing software products for epidemiological situation managing, sanitary-and-epidemiologic emergencies prevention, hazards of infectious diseases onset and spreading that might be potentially dangerous for participants, visitors and local residents during XXVII Worldwide Universiade 2013 in Kazan.Methods. Statistical forms №1 and №2 «Data on infectious and parasitic diseases» in the Republic of Tatarstan for the period of 2004 to 2013, 058/у forms (emergency notifications), «Infectious diseases registry» (journal №60) were used for data gaining. To analyze the prevalence of the diseases, software products («Population disease prevalence analysis»), «Social and hygienic monitoring» - «Krista» automated system, «Automated information system of epidemiological survey and emergencies prevention in the sphere of public healthcare during the 2013 Universiade» («Epidemiological safety» automated information system) software were used. Methods of epidemiological diagnosis and common methods of variance analysis (calculations of relative and mean values, statistical series analysis and statistical significance assessment) were used.Results. Retrospective epidemiological analysis of infectious and parasitic diseases in Republic of Tatarstan and in Kazan city, monitoring of background epidemiological conditions in Kazan city using the «Population disease prevalence analysis» software products and «Krista» automated system, as well as on-stream epidemiological analysis of infectious and parasitic diseases prevalence among participants, visitors of the 2013 Kazan Universiade by introducing the «Epidemiological safety» automated information system increased the epidemiological diagnosis quality, allowed to timely identify epidemiological deviations, provide targeted sanitary and anti-epidemic measures and to assess their effect. Continuous interaction between the Tatarstan Regional Agency of the Federal Service for Surveillance in the Sphere of Consumer Rights Protection and Human Welfare, Russian scientific and research institute for fighting plaque «Mikrob», Hygiene and epidemiology Center of the Republic of Tatarstan and healthcare institutions was provided during the 2013 Universiade.Conclusion. Complex use of modern information technologies and introduction of «Epidemiological safety» automated information system while carrying out the 2013 Universiade allowed to completely implement the targeted management and technologic tasks for infective and parasitic diseases prevalence monitoring.

scholarly journals Storing Hypergraph-Based Data Models in Non-hypergraph Data Storage and Applications for Information Systems

2021 ◽  
pp. 1-21
Author(s):  
Bálint Molnár ◽  
András Béleczki ◽  
Bence Sarkadi-Nagy
Keyword(s):  
Information Systems ◽  
Data Storage ◽  
Data Model ◽  
Relational Data ◽  
Complex Data ◽  
Graph Representations ◽  
Relational Data Model ◽  
Rich Information ◽  
The Relationship

Data structures and especially the relationship among the data entities have changed in the last couple of years. The network-like graph representations of data-model are becoming more and more common nowadays, since they are more suitable to depict these, than the well-established relational data-model. The graphs can describe large and complex networks — like social networks — but also capable of storing rich information about complex data. This was mostly of relational data-model trait before. This also can be achieved with the use of the knowledge representation tool called “hypergraphs”. To utilize the possibilities of this model, we need a practical way to store and process hypergraphs. In this paper, we propose a way by which we can store hypergraphs model in the SAP HANA in-memory database system which has a “Graph Core” engine besides the relational data model. Graph Core has many graph algorithms by default however it is not capable to store or to work with hypergraphs neither are any of these algorithms specifically tailored for hypergraphs either. Hence in this paper, besides the case study of the two information systems, we also propose pseudo-code level algorithms to accommodate hypergraph semantics to process our IS model.

Relational Data Model

1996 ◽  
pp. 23-41 ◽  
Author(s):  
Paul Beynon-Davies
Keyword(s):  
Data Model ◽  
Relational Data ◽  
Relational Data Model
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