Practice of using deductor in Nngasu. Applied informatics in economics Applied informatics in economics NNGAS timetable

Master's degree is a way to improve the qualifications of bachelors through in-depth study of selected areas, as well as expanding research activities.

In accordance with the profile of the educational program for this area, students receive in-depth knowledge in the following areas:

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Configuration and integration of systems on the 1C platform ( 1C programmer);

Systems-based business intelligence artificial intelligence (business analyst);

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Typical tasks that a 1C programmer solves:

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Administration of 1C databases;

Automation of company activities;

Setting up and administering various configurations based on 1C;

Programming based on 1C.

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Business analytics is the most promising IT profession

BigData is the future of computer science;

Business optimization based on analytics will be the main method of competition in the future;

Of the six fastest-growing IT specialties, three are related to analytics.

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Typical tasks of a business analyst:

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collection and analysis of customer requirements;

researching;

business process modeling (BPMN, EPC, IDEF, UML languages);

analysis of large volumes of data;

development of databases for production management systems;

setting technical specifications for software development or modification;

building processes for collecting, storing and analyzing data;

programming machine learning systems.

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BaseGroup Labs Certificate

UNGASU master's students who successfully complete analytics courses can receive a certificate from BaseGroup Labs, the manufacturer of the domestic analytical platform Deductor.

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Research by master's students of NNGASU

In addition to in-depth study of business analytics and 1C programming, masters of applied informatics take part in scientific research in various applied areas. Below are examples of some master's studies:

Development of conversion algorithms geographical coordinates for geographic information system

Algorithms implemented on JavaScript, are used to link geographic coordinates in Yandex maps with graph coordinates of waterways used in voyage planning systems of river shipping companies.

Determining a suitable algorithm for calculating distances using auxiliary programs written in C and using the getDistance function built into Yandex.Maps.

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Development of an environmental monitoring system Eco-routs

The environmental monitoring system was developed by master's student D. Stepanov in collaboration with the UNESCO International Chair at NNGASU in 2016. The system is available at https://eco-routes.appspot.com.

With its help, you can determine the level of exceeding the maximum permissible concentration when driving in a traffic jam.

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Development of a system for predicting the results of eSports tournaments based on Data Mining methods

In traditional sports, several data analysis methods are used to determine the chances of winning: those based on a predictive rating system, for example, the Elo rating. The same methods can be used in eSports disciplines. But this method is too inaccurate, and most serious forecasts are calculated using proprietary methods and systems that are not publicly available. Therefore, there is a problem in constructing a methodology for such forecasting.

The research was carried out by master's student M. Razuvaev in two stages.

Stage 1. Development of a process for collecting and processing data to predict the results of eSports tournaments: developing a parser program, cleaning the data and converting it to a single convenient format for further loading into a data warehouse.

2. Stage. Creating a forecasting model based on one of the Data Mining algorithms: building several neural networks, testing the forecast quality.

The study's forecast for one of the largest tournaments turned out to be more accurate than the usual Elo rating.

Speciality Applied Informatics(in economics) allows students to gain extensive knowledge of both economic and applied nature. In the process of theoretical training, students acquire practical skills effective solution economic tasks using modern information technologies and systems.

This is one of the most promising and sought-after specialties. In addition, it is universal, as evidenced by the qualification of the specialty “Applied Informatics (in Economics)” - “Informatics Scientist - Economist”. An information scientist-economist is an erudite specialist with a wide profile who has acquired fundamental knowledge in the field of computer science and professional knowledge in economics, management and marketing. Such a specialist can work in both computer science and economics.

Graduates of the specialty are equally well versed in production and technology; organizational and managerial; design and technological; experimental sphere, since these are the functions it performs at the enterprise. Graduates have the skills to solve functional problems and manage information, material and cash flows in a specific sector of the economy using information systems. An information scientist-economist analyzes, forecasts, models and creates information processes and technologies within the framework of professionally oriented information systems. The range of skills of an informatics economist includes the creation and implementation of professionally oriented information systems in economics.

Such knowledge and skills of graduates of this specialty allow them to apply for prestigious jobs in serious organizations. Graduates of the specialty are in stable demand in the labor market, having good prospects for further professional and career growth.

Employment opportunities for these specialists are very extensive: a graduate of the specialty “Applied Informatics (in Economics)” can work as a system administrator and programmer, information analyst, systems analyst, information systems analyst, information management specialist, employee of the forecasting and planning department of the economic process, head of information services in government bodies; commercial organizations; in various concerns; holdings; corporations; insurance companies; banking institutions; audit; consulting firms; investment and commercial companies.

The most interesting internship in the specialty provided to students will allow everyone to confirm their love for their chosen specialty and hone their acquired skills and knowledge. During your studies, you will get to know companies, employers, and interesting people - all this will give you the opportunity to find “your” company, where you would like to do an internship and work after university. Over 5 years of study in an atmosphere of not only serious scientific work, but also a wonderful student pastime (new friends, interest clubs, competitions, KVN, etc.), everyone will definitely find themselves in their chosen profession!

Entrance tests and admission conditions

Persons accepted

• with incomplete higher education.

Entrance tests

Admission to senior courses is possible only if full procedure translation. You need to provide an academic certificate so that we can determine which course and semester we can accept you for. If the study period suits you, we will issue you a certificate stating that we are ready to admit you to our university. You must submit it to your University and will be deducted due to the transfer. The extract from the expulsion order must indicate “Dismissed due to transfer to Moscow University named after S. Yu. Witte.”

The Department of Applied Informatics and Statistics implements the following main professional educational programs higher education:

General information

1. Direction: Applied Informatics
Direction code: 09.03.03
Qualification: bachelor's degree
Entrance exams: Russian language, mathematics, physics
Form of financing: budget and paid
Professional specialization:

Information Systems Specialist
- 1-C programmer
- business analyst
- IT project manager

Within the direction "Applied Informatics" profile is implementedApplied informatics in economics

2. Direction: Software Engineering
Direction code: 09.03.04
Qualification: bachelor's degree
Entrance exams: Russian language, mathematics, computer science and ICT
Form of financing: budget and paid

Within the direction "Software Engineering" profile is implementedDevelopment of software and information systems ().

WHAT IS APPLIED COMPUTERS

In applied computer science, the emphasis is primarily on the study of practically oriented knowledge, skills and abilities. Fundamental questions in computer science are addressed in engineering level. Engineers work at all stages of the life cycle of information systems, including their planning, design, preparation technical documentation, testing and maintenance, and applied research.

Applied informatics is the engineering practice of storing, processing and transmitting economic, managerial and legal information to solve substantive problems of business and society.

The practical scope of applied informatics includes:

• analysis of the subject area and requirements for business applications;
• modeling of processes, data and objects of the subject area;
• analysis of compliance of information systems and technologies with the requirements of the subject area;
• defining and ensuring the implementation of design specifications and business application architecture;
• creation and implementation of business applications.

The specific content of applied computer science is determined by the federal educational standard, as well as professional standards in the field of IT.

WHAT ARE THE SPECIFICS OF SOFTWARE ENGINEERING

The direction "Software Engineering" has its own main task organization, management and implementation of a rational approach to creating complex software products.

The need for competent organization of software development, operation and maintenance in the digital economy will only increase.

In accordance with the software engineering profile, students receive specialization in the following areas:

• configuration and integration of systems on the 1C platform (1C programmer);
• system programming (system programmer);
• development of distributed systems based on Web protocols (Web developer).

The scope of activity of a software engineer includes a number of areas, each of which has its own technologies and methods to support:

• determination of requirements for a software system (software requirements)
• architecture design software systems, structure of its components, interface diagrams (software design)
• coding, verification, testing and debugging of programs (software construction)
• support and maintenance of software systems (software maintenance) and much more.

WHO IS THERE TO BE TRAINED IN NNGASU?

In accordance with the current federal state educational standards, educational programs should be focused on mastering the labor functions of certain professional standards in the field of IT (link).

Educational programs of different profiles have the same basic disciplines, but differ in variable disciplines. Students receive a general bachelor's qualification in the direction of "Applied Informatics" or "Software Engineering", while mastering additional professional specialization, determined by the profile.

Main purpose of activity information systems specialist consists of creating (modifying) and maintaining information systems that automate organizational management tasks and business processes in organizations of various forms of ownership.

Main purpose of activity systems analyst is the development, restoration and maintenance of requirements for software, product, tool, software and hardware complex, automated information system or automated control system (hereinafter referred to as the system) throughout their life cycle.

Main purpose of activity programmer consists of requirements engineering and software design.

Information Technology Project Manager Responsible for achieving project goals within the budget and deadlines approved by the customer. Carries out project management (planning, organization of execution, control and analysis of deviations) in the field of creation and/or commissioning of information systems.

Demand for GRADUATES IN THE LABOR MARKET

If we consider the demand for professions defined by professional standards, we can see that the need for IS specialists and system analysts, which are the focus of all profiles, according to the job site superjob.kg in November 2017 amounted to 35% of all IT vacancies.

Programmers are in demand in 38% of cases. IT project managers are needed in only 2% of cases, but the latter earn the highest salaries.

Number of vacancies in specialties that meet professional standards in the field of IT

In terms of salary level, system analysts and programmers are in 4th place, second only to professions that are not yet often in demand.

Average salary of vacancies that meet professional standards in the field of IT
(website superjob.ru, November 2017)

Department of Applied Informatics and Statistics

The Department of PriIS was created in 1999 to support the specialization Wirtschaftsinformatik (economic informatics) within the framework of international project Tempus Tacis for training students of NNGASU together with the German university FH Köln.

Currently, the department has 9 full-time teachers, including 1 doctor and 4 candidates of science. There are also three graduates of the department working in the department.

The scientific work of the department is carried out in the following areas:

• modeling of economic processes;
• business analytics;
• project management;
• distance learning methodology.

Within these areas, three dissertations were defended, two certificates of registration of computer programs were received, more than 10 contractual works were completed with various enterprises, and three large specialized software systems were introduced at enterprises.

Partnership with “top” IT enterprises

To ensure that the level and content of training corresponds to the real tasks of practice, close partnerships with IT enterprises are necessary. Since 2007, the Department of Applied Informatics has been working closely with such serious Russian enterprises as 1C Company, Mera-NN, and BaseGroup Lab.

We continue the series of interviews with the most active participants in the BaseGroup Labs academic program.

Nizhny Novgorod State University of Architecture and Civil Engineering is represented by Ph.D., Associate Professor of the Department of Applied Informatics and Statistics Prokopenko Natalya Yurievna(N.Yu. Prokopenko’s report from the III Interuniversity Teachers’ Conference is available).

NNGASU joined the BaseGroup Labs academic program in 2007 on the initiative of the Department of Applied Informatics and Statistics. Information about the department is presented in the university card.

Natalya Yuryevna, tell the story of the department’s acquaintance with BaseGroup Labs software products.

Understanding the need to train specialists in the field of data analysis was dictated by the times. The terms “data analysis” and “artificial intelligence methods” increasingly began to appear in the literature and on the Internet, a large number of Russian-language literature began to address theoretical, organizational and methodological issues of the development and application of intelligent information systems in the economy. The term “artificial intelligence” was included in the state educational standard Russian Federation. Academic disciplines such as “Intelligent Information Systems” and “Intelligent Methods of Data Analysis” have appeared in university curricula. Due to the need to introduce these disciplines into the curriculum and organize cooperation with relevant employers, the department invited an employee of the Nizhny Novgorod company BIGroup Labs (had the status of a partner of BaseGroup Labs), who gave lectures and conducted practical classes with students using AP Deductor. Thanks to cooperation with this company, the first graduation projects and research projects of students in the field of data analysis appeared.

Based on the results of this work, the department subsequently identified “business analytics based on artificial intelligence systems” as one of the key areas of student specialization. For this purpose, special disciplines were introduced into the curricula of bachelors and masters. The topic of business analytics is officially fixed as one of the main ones when choosing topics for final qualification papers.

At the same time, the BaseGroup company launched an academic initiative: it opened an electronic learning center, where it offered the most modern courses in data analysis and announced a freely distributed version of the Deductor Academic analytical platform, and also organized e-learning and certification opportunities for university teachers. As a result, within the framework of the concluded cooperation agreement, methodological materials were received along with practical examples necessary for training students, a full e-learning course was completed and the status of a certified Deductor analyst was obtained.

How are the curricula structured in terms of studying disciplines related to data analysis? Which disciplines use the Deductor analytics platform?

N.Yu.: In order for students in the direction of “Applied Informatics” (profile – Applied Informatics in Economics) to be able to freely use modern analytical information technologies, the curriculum is designed so as to consistently master the direction of “business analytics based on artificial intelligence systems”, relying both on special disciplines , and on the disciplines of computer science in general. To master business analytics, in addition to the basic sections in the disciplines “mathematics” and “probability theory and mathematical statistics”, special academic disciplines have been introduced:

• statistical analysis software,
• artificial intelligence methods,
• decision support systems,
• logic programming,
• artificial intelligence programming",

as well as a number of disciplines for masters:

• business analytics methods,
• business analytics in the practice of enterprises,
• methods and systems of analysis and forecasting based on statistical information.

The main goal of these disciplines is to obtain basic knowledge in the field of intelligent information systems, study methods and means of data mining, and acquire skills in working with Data Mining tools. The main tasks are:

• familiarity with modern approaches to analysis economic information, based on the concept of extracting knowledge from databases;
• studying modern methods and technologies focused on knowledge management - data warehouses, multidimensional reports, Data Mining methods and models;
• practical applications of intelligent systems methodology for solving economic problems.

To train students in the field of "Applied Informatics", Deductor Academic is used as a universal modeling environment for creating applied solutions in the field of data analysis. The first acquaintance with AP Deductor and the acquisition of basic skills in working with it occurs in the second year of a bachelor’s degree within the discipline “Methods of Artificial Intelligence”. A more in-depth study of the platform’s capabilities continues in the third year when studying the discipline “Decision Support Systems”. For those graduates of NNGASU who want to continue their scientific career, the doors to the master's program in applied computer science in analytical economics are open. Master's students, completing assignments in the subjects “Methods of Business Analytics” and “Business Analytics in Enterprise Practice,” use the professional version of the analytical platform (three Deductor Professional keys were received by our students for winning the final work competition).

Possibilities professional version(integration with 1C, with various DBMSs, automation of data processing scripts through batch mode) contributed to the expansion of the topics of bachelor's and master's theses, and also allowed students to participate in various competitions and scientific conferences.

When developing educational tasks, many teachers are faced with the problem of finding source data. Similar difficulties often arise for students when writing educational, scientific and final qualifying works. What data sources are used at the Department of Applied Informatics and Statistics of NNGASU?

N.Yu.: A feature of the disciplines in the direction of “Business Analytics based on Artificial Intelligence Systems” is that practical work must be performed on real data. When organizing practical and laboratory classes, data sets are used, specially prepared to maximum demonstrate the capabilities of analysis methods, provided by BaseGroup as part of the academic program. In addition, we have already accumulated our own database, which we use to develop individual assignments for coursework and diploma projects. These are the results of sociological and marketing surveys, databases downloaded from 1C and other accounting systems, obtained by students during industrial and pre-graduate internships, Internet data collected using parsing technology. Based on new data, we developed guidelines on solving various problems that use the capabilities of AP Deductor: data warehouse, data cleaning, OLAP, Data Mining, and also published two textbooks “Information technologies for data analysis (analytical information systems for decision support based on Deductor Studio Academic 5.2)” and “ Decision support systems based on Deductor Studio Academic 5.3.”

In your opinion, as a long-time mathematical scientist and teacher, what are the main features of the implementation of mathematical methods in Deductor? How accessible are the workings of the algorithms and the results obtained to students?

N.Yu.: The main feature of Data Mining is a combination of a wide range of mathematical tools (from classical statistical analysis to new machine learning methods) and the latest achievements in the field of information technology. Data Mining technology combines strictly formalized methods and methods of informal analysis, i.e. quantitative and qualitative data analysis.

Studying models such as artificial neural networks, decision trees, associative rules, logistic regression, clustering within the discipline “Methods of Artificial Intelligence”, we pay great attention in our classes to the algorithms used in these models. We solve problems in which students understand the work of the backpropagation algorithm when studying neural networks, the work of k-means and k-median algorithms in clustering, how the Apriori algorithm works when generating association rules; genetic algorithms. But we replace the software implementation of these algorithms with laboratory exercises using the AP Deductor. It implements almost all Data Mining models and modern technologies for analyzing structured data. The use of self-learning methods and setup wizards allows students with standard mathematical training to master the educational material, and the many methods of data visualization available there (graph neural network, Kohonen networks, decision trees, rock diagram, contingency table and many others) greatly facilitate students’ perception of the content of business problems being solved. Thanks to the accessibility and clarity of data analysis methods implemented in Deductor, students are left with mainly creative work: studying the subject area, choosing solution methods, and interpreting results.

Tell us about the most interesting projects implemented in Deductor.

N.Yu.: For more than ten years, the department has been actively conducting research work with students in the field of business analytics and artificial intelligence systems. During this time, based on the Deductor analytical platform, MIEPM students obtained interesting analytical solutions, presented in the form of final qualifying works: “Analysis and forecasting of macroeconomic regional indicators of the Nizhny Novgorod region”; “Creation of a data warehouse and analytical reporting for the Nizhny Novgorod regional children's hospital”; “Development of a system for predicting the results of sports competitions”; “Development of an automated information system for making investment decisions based on AP Deductor”; "The use of modern information media and technologies for solving problems of environmental monitoring in the Nizhny Novgorod region” and many others.

Our students and graduates obtained interesting analytical solutions for a number of Nizhny Novgorod companies "Nizhegorod Metal" and "NPN", LLC "FormatService", the Nizhny Novgorod branch of OJSC "Gardens of Pridonya". The Nizhegorod Metal company specializes in wholesale and retail trade in rolled metal products. "NPN" is the largest wholesale and logistics structure in the city of Nizhny Novgorod, specializing in the wholesale sale of auto parts for domestic cars and special equipment. As part of the implemented pilot projects, the following tasks were solved: operational multidimensional data analysis; formation of orders for commodity items; automatic forecasting. Integration of the Deductor analytical platform and accounting system 1C, used in the activities of these trading enterprises, made it possible to obtain data for the implementation of a scenario for analyzing the assortment and stability of sales.

In addition to the educational process itself, how is Deductor used at NNGASU? What interesting research and educational projects have been implemented using its capabilities and in collaboration with BaseGroup Labs?

N.Yu.: UNGASU pays great attention to interdepartmental cooperation; an International Center for Interdisciplinary Research was even created to solve many problems. One of the implemented projects of this center, where the AP Deductor was used, was a project related to processing the results of a survey of students to determine their priorities during their studies at the university, to determine the attitude of students to scientific work, their understanding of the place of scientific work in the formation of professional competencies of future specialists .

The results obtained determined the degree of motivation of students of different faculties for research activities; made it possible to identify students' interest in improving the quality of the educational process, to develop a set of measures and practical recommendations for attracting students interested in it to research work.

Also within the scope of activities International Center interdisciplinary research in February 2013, a winter school “Modern methods of analysis and management” was held.

Winter school is an opportunity for students to take part in an interesting and very useful event outside of the educational process, during the holidays, it is an opportunity to learn something more that goes beyond the normal course, a start for project activities, and meeting wonderful people. There were no teachers who taught a subject but never practiced it “live”, and there were no students who came to the classroom just to mark their attendance. Each student knew why he came, what he wanted to know and what he wanted to learn.

The sessions focused on introducing a range of techniques that are at the forefront of modern management. These are intelligent methods of business analytics, methods of simulation of economic processes and methods of automating business process management. In addition, topical issues of environmental justification of projects, project management, as well as the development of electronic document management were discussed in separate reports. The school's teachers were employees of consulting firms from Ryazan and Moscow, as well as associate professors from NNGASU and RANEPA.

The audience was very diverse: from second-year students of MFEPM to graduate students and teachers from universities in Nizhny Novgorod, Moscow and Cheboksary: ​​NSTU, NNSU, RGAU-MSHA, ChSU.

It was really interesting; serious practical problems and current problems of automation, modeling, analysis, optimization and solving them using modern methods were discussed.

I would like to say special thanks to the head of the BaseGroup Labs academic program, Ph.D., Associate Professor Nikolai Borisovich Paklin, who gave lectures and conducted master classes as part of the winter school section on data analysis.

This event was marked by a wonderful atmosphere, high professionalism of teachers, and a good level of organization. All participants received certificates.

NNGASU is one of the most active universities in the BaseGroup Labs academic program. What are the main results achieved during the period of cooperation?

N.Yu.: Summing up some of the results of ten years of cooperation between the Department of Applied Informatics and Statistics and BaseGroup Labs in the field of education, we can say that during this time many pressing problems have been solved for the targeted training of our bachelors and masters, namely:

• modern educational curricula were developed in disciplines related to data analysis and information and analytical systems;
• the topics of coursework and diploma projects have been expanded, which have been linked to solving real problems of Nizhny Novgorod companies;
• there was an opportunity to attract students to research work in this area using the Deductor platform.

A large collaboration on shaping the image of the business analyst profession.

The collaboration also resulted in the publication of two teaching aids, publication of articles and scientific works of teachers, students and undergraduates in various scientific publications.

In addition, such cooperation has many valuable advantages for our graduates. Now students who demonstrate good learning results receive certificates of successful completion of the Deductor training course. We have more than 20 students who have already received this certificate. Obtaining a professional certificate provides an advantage in employment and therefore further motivates students to study business analytics.

It should also be noted that BaseGroup Labs is doing a lot of work to improve the qualifications of teachers in the field of business analytics and intelligent information technologies (conferences, free training courses with the possibility of obtaining a certificate).

Relations with the academic community are also successfully developing, thanks to the fact that your knowledge portal https://site has become an open resource for data analysis teachers at all universities in the country, because there are specialist blogs, interviews and presentations with various conferences, a bank of scenarios and a database of examples of real implementations. I think that scientists, university teachers, and practitioners could continue this tradition by publicly providing interesting examples for their colleagues, students, and graduate students.

What do you see as the main directions for further use of the software product and cooperation with the company?

N.Yu.: Currently, we are solving the problem of selecting new tasks for training masters, since the areas of application of machine learning methods are very diverse.

The possibility of using e-learning technology is being considered, since with this form of training the share of independent work students, the activity and quality of learning increases.

We are looking for forms of interaction with organizations interested in implementing modern information technologies based on machine learning methods in order to train specialists who can use the acquired knowledge on real-life problems.

And of course, we are ready to master New Product company - the analytical platform Loginom 6, which was presented to us at the IV interuniversity conference in Moscow in June of this year. We are waiting for specialized training courses in the electronic training center on the company website. Our plans are to continuously improve our skills, including by participating in webinars, attending seminars and master classes.

We are also looking forward to such forms of cooperation as holding WRC competitions, Olympiads and hackathons.

How do you evaluate the teacher conferences held by BaseGroup on the use of Deductor in the university educational process? How useful do you think such events are?

Leisure activities are also very well organized - the program includes an interesting excursion around the territory of the Timiryazev Academy and an evening excursion on a boat along the Moscow River. Thanks to all the organizers.

Released in November 2017 a new version analytical platform - Loginom. What are your first impressions of meeting him?

N.Yu.: The demonstration of the new product at an interuniversity conference in June, as well as a closed webinar in September, already give an idea that its release will undoubtedly be accompanied by an expansion and deepening of knowledge in the field of data analysis, which, of course, will entail changes and improvements in educational programs for both bachelors and for masters. We are ready for further close cooperation with BaseGroup Labs, ready to form a new generation of specialists in the field of business analytics with new knowledge, skills, “competencies”, using the new capabilities of the new software product.

Keeping your finger on the pulse in the field of modern data analysis technologies is possible only in close cooperation with leading Russian IT companies. And thanks to the BaseGroup Labs academic program, we will gain unique experience in using fully functional software in the educational process, which will soon be in demand not only by Russian business customers.

How useful is learning technologies and data analytics tools for today's graduates? What, in your opinion, are the prospects for the demand for this knowledge by employers?

N.Yu.: Every graduate educational institution It is very important to have, upon completion of your studies, exactly the knowledge that will be useful in your future job. A system has been built at NNGASU feedback about the quality of graduates’ training and the demand for their competencies. Considering that data analysis technologies are not tied to a specific subject environment, students in the “applied informatics” direction at NNGASU receive the universal knowledge necessary for effective use in various areas of human activity - in economics, trade, management, education, etc.

Unfortunately, there is a slight advance in the pace of development of data analysis tools in relation to employers’ understanding of what useful information can be extracted from data using modern means processing and analysis. But, undoubtedly, there is interest from government agencies, business, healthcare, education, etc. in modern technologies and methods of data analysis will grow, which means university graduates who own data analysis tools will be increasingly in demand by potential employers. In this regard, the need to bring learning theory closer to the practice of using new software products is beyond doubt, since it is known that a university graduate’s chances of a successful career increase sharply if, in addition to theoretical knowledge, he also has strong practical skills. So our joint goal is to train competent specialists who understand business needs and are able to apply modern information Technology And software on data analysis to meet them.

Direction: Applied Informatics
Direction code: 09.03.03
Profile: Applied informatics in economics
International analogue of the direction : Business Information System, Wirtschaftsinformatik
Qualification: academic bachelor's degree
Entrance exams: Russian language, mathematics, physics
Form of financing: budget and paid

The direction exists in our country

since 1949 under the name " Mechanization of accounting and computing work»,
since 1960 under the name " Organization of mechanized processing of economic information»,
since 1985 under the name " Information Systems in economics»,
since 2001 under the name " Applied informatics in economics».

What does a profile “in economics” mean?

In accordance with economic profile applied computer science students receive specialization in the following areas:

• configuration and integration of systems on the 1C platform (1C programmer);
• business analytics based on artificial intelligence systems (business analyst);
• development of distributed systems based on Web protocols (Web developer).

There is a constantly growing demand for specialists in these areas, which guarantees the employment of graduates.

1C programmer

Typical tasks that a 1C programmer solves

Administration of 1C databases;
Automation of company activities;
Setting up and administering various configurations based on 1C;
Programming based on 1C

Russia is automated mainly on 1C

1C programmer – the most sought-after programmer in Russia.

Demand for programmers in November 2017 (according to superjob.ru and hh.ru)

In terms of the number of vacancies, 1C programmers have been leading for several years on a variety of job sites. At the same time, the average salary of 1C programmers is second only to the salary of C++ and DB programmers.

Demand for programmers in 2017

Job title	Number of vacancies	Average salary, thousand rubles
1C programmer	164	110
Web programmer
PHP Programmer
C++ programmer
C# programmer
Database programmer

1C programmers are generally the most sought-after IT specialists in Russia since 2009. This is not surprising, since the 1C system is used by 1.5 million Russian enterprises.
The largest increase in wages over the past ten years was also observed for 1C programmer vacancies. In terms of salary, on average, 1C programmers are second only to C++ and C# programmers, but the demand for the latter is much less. There are vacancies for 1C programmers in any city in Russia.

Note that B.G. Nuraliev, one of the founders of the 1C company and its director, has a specialty automated systems management– this is what applied computer science in economics was previously called.

B.G. Nuraliev is one of the founders of the 1C company

It can be argued that in the future the need for 1C programmers will only grow. In the Russian integrated systems market, the 1C system has shown steady growth since 2004.

Implementation share corporate system 1C in Russia

Since 2013, the share of automated jobs in Russia has exceeded 1C by 83%. It can be said that Russia is largely automated using 1C.

Level of mastery of the profession

The 1C company has adopted a sequential certification system.

1C company certificates

We prepare students at the level of knowledge of the 1C Professional certificate.

In addition, our students have been winning prizes in various competitions held by 1C for many years.

International competition of diploma projects using the 1C platform

In 2015, our student Oksana Parfenova took 5th place in the All-Russian competition among professionals 1C, the final of which took place in Nizhny Novgorod.

Students of applied informatics – participants of the professional competition 1C: ITS
V. Zhadova, O. Parfenova and K. Shipunova discuss with the director of the 1C company
B.G. Nuraliev's prospects for his work on the 1C line
(NNGASU, 2015)

What is business analytics

The reality of modern business is working in a huge flow of data. This reality is even designated by the special term BigData. Turning this wealth of data into a resource that generates revenue or reduces costs requires data collection, processing, and analysis.

Business Intelligence (BI) is a business technology aimed at monetizing data.

Business analysts are top-class specialists who are on the list of the most “advanced” IT specialties.

According to forecasts, of the six most dynamically developing IT specialties in the United States, as many as three specialties are related to analytics - analytical analysts will occupy 3 places out of the six6 most developing

6 trending IT specialties for 2017-2024

Specialization	Growing demand by 2024 (forecast)	Average salary in 2017, thousand dollars
Web developer
Computer Science Analyst (Computer systems analyst)
Analyst information security (Information Security Analyst)
Software developer, programmer (Software engineer)
Data Scientist (Data Scientist)	16%	128,2
System Administrator (Network and computer systems administrator)

Source: 6 tech jobs that will grow like crazy in 2017 and beyond / CareerCast.com

In Russia, analysts are on the list of the most sought-after and highly paid IT specialties. Unlike 1C programmers, the need for which is widespread, business analysts are needed by “top” enterprises, which, in conditions of fierce competition, are forced to constantly improve their business.

Demand for analysts in the Russian Federation in 2017

Source: superjob.ru (November 2017)

To improve a business, you must first understand it, and this requires analyzing the data that the enterprise has: business data. These types of problems arise in the following areas.

Retail

• shopping cart analysis
• study of temporary sales patterns (temporal patterns)
• demand forecasting

Banking

• customer segmentation
• forecasting clientele changes
• calculation of loan fees

Telecommunications

• identification of categories of clients with stereotypes of using services
• identifying customer loyalty (minimizing marketing costs)

Insurance

• fraud detection (studies of stereotypes in applications for payments)
• risk analysis (minimizing losses of insurance companies)

Forecasting product sales using a neural network of 49 neurons
(from the thesis of a NNGASU graduate in applied informatics 2013)

Kohonen maps for the classification of municipal districts of N. Novgorod
(from the thesis of a NNGASU graduate in applied informatics 2017)

Typical tasks of a business analyst (based on requests for vacancies on superjob.ru)

Collection and analysis of customer requirements;
- researching;
- business process modeling (BPMN, EPC, IDEF, UML languages);
- analysis of large volumes of data;
- development of databases for production management systems;
- setting technical specifications for software development or modification;
- building processes for collecting, storing and analyzing data;
- programming machine learning systems.

Typically, business data is not very organized, and there is usually a lot of this data. To analyze business data, special methods and technologies are used, called Data Mining(data mining). These methods are associated with the general theoretical disciplines of computer science and mathematics

Connection of Data Mining methods with the disciplines of computer science and mathematics

In addition to studying the general theory of Data Mining at the Department of Applied Informatics, students receive specific skills for working in the domestic analytical platform Deductor from Base Group Labs. For 2016 this platform ranks second in Russia among analytical platforms in terms of the number of implementations.

Share of implementations of analytical platforms in Russia for 2012

Data Mining is not only a technology in demand, but also an area of ​​extensive scientific research. For those graduates of NNGASU who want to continue their scientific career, the doors are open master's degree in applied computer science in analytical economics.

Participants of the NNGASU Winter School on Business Analytics
In the center, leading specialist of BaseGroup Labs N.B. Paklin
(NNGASU, 2013)

Level of mastery of the profession

Our students have repeatedly won all-Russian business analytics competitions organized by Base Group Labs.

Inter-university graduation work competition from Base Group Lab in business analytics

Students who complete courses in analytics can receive a certificate from BaseGroup Labs.

Base Group Labs certificates of our master's students, 2016

Our master's students are graduates of applied computer science,
received BaseGroup Labs certificates

Web developer

According to the forecasts of the American job site CareerCast, Web developer is the specialty for which the demand will grow faster than any other in IT.

In terms of overall demand, Web developers and Web programmers in Russia surpass even 1C programmers.

Demand for programmers in 2017

Programmer Specialization	Number of vacancies	Average salary, thousand rubles
1C programmer
Web-programmer	79	95
PHP Programmer	100	101
C++ programmer
C# programmer
Database programmer
Web developer	81	96