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:
Configuration and integration of systems on the 1C platform ( 1C programmer);
Business analytics based on artificial intelligence systems ( business analyst);
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.
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.
Typical tasks of a business analyst:
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.
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.
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 algorithms for converting geographic coordinates for a geographic information system
Algorithms implemented in 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.
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.
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 e-sports 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.
In accordance with the economic profile of applied informatics, students receive specialization in the following areas:
Configuration and integration of systems on the 1C platform ();
Business analytics based on artificial intelligence systems ();
Development of distributed systems based on Web protocols ().
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 is 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.
1C programmers have been 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, 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.
It can be argued that in the future the need for 1C programmers will only grow. In the market of integrated systems in Russia, the 1C system has shown steady growth since 2004. Since 2013, the share of automated workplaces in Russia exceeds 83% by 1C. We can say that Russia is largely automated using 1C.
Level of mastery of the profession
The 1C company has adopted a sequential certification system. 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.
Business analyst
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 abundance of data into a resource that generates profit 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.
Of the top six fastest-growing IT jobs in the United States, three are forecast to be in analytics.
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.
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
identifying customer loyalty (minimizing marketing costs)
Insurance
fraud detection (studies of stereotypes in applications for payments)
risk analysis (minimizing losses of insurance companies)
Typical tasks of a business analyst:
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.
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 by Base Group Labs. As of 2016, this platform ranks second in Russia among analytical platforms in terms of the number of implementations.
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.
Level of mastery of the profession
Our students have repeatedly won all-Russian business analytics competitions organized by Base Group Labs. Students who complete courses in analytics can receive a certificate from BaseGroup Labs.
Web developerThis specialty requires mastering a number of disciplines that can be useful to computer scientists of any profile:
Server-side programming in Java and PHP;
client-side programming in JavaScript;
administration of database management systems MS SQL, MySQL;
interface design based on usability principles;
Web page design using raster and vector graphics programs Gimp and Inkscape;
analysis of the vulnerabilities of the Web application program code, as well as the reliability of the Web server configuration;
programming mobile applications for iOS/Android;
creating websites using CMS systems.
It can be noted that the PHP language still remains the leading language for Web development, so special attention is paid to its study at the Department of Applied Informatics.
Development of an environmental monitoring system Eco-routs
An example of what our Web development students do is an environmental monitoring system. It was developed by 2016 graduate D. Stepanov in collaboration with the UNESCO International Chair at NNGASU in 2016. The system is available at https://eco-routs.appspot.com.
With its help, you can determine the level of exceeding the maximum permissible concentration when driving in a traffic jam.
This work won second place in the International Olympiad in IT Technologies and won several other competitions.
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.
Share of 1C corporate system implementations 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 abundance of data into a resource that generates profit 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, |
|
Web developer |
||
|
Computer Science Analyst (Computer systems analyst) |
||
|
Information Security Analyst (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. As of 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 |
Page materials provided by NGASU (Sibstrin). Here you can get electronic copies of the main educational and teaching aids of the department currently used.
All files are presented in the form of documents.pdf, or in archives.zip, the contents of which are Word documents(versions 2007 and higher)
General computer science course
Computer science. Basic course
U textbook in 3 parts for bachelors of all directions studying the discipline “Informatics”. Authors: Vorobyova A.P. (part 1), Ershova E.E. (part 2), Kislenko N.P. (part 3).
Kislenko N.P. Fundamentals of computer technology. Tutorial. Novosibirsk: publishing house NGASU, 2002
The textbook covers the program of the course "Information Technologies", taught to full-time students of NGASU specialty 071900 - "Information Systems and Technologies".
The manual is written in accordance with the course program. Due to the fact that part of the program is set out in methodological materials previously published by the department, the manual offers mainly material related to the in-depth study of information technology by students of this specialty.
The manual consists of 4 sections corresponding to the main aspects of the study of information technology. Section 1 is devoted to general theoretical issues of computer science, information systems, data representation and measurement. Section 2 provides basic ideas related to PC hardware - a classification of modern computers is given, and PC architecture is discussed in detail. Section 3 is called "Personal Computer Software" and contains basic information about the system and application software used on the PC. Section 4 discusses network information technologies as applied to the Windows operating system.
Numerical methods, solving engineering problems, MathCAD
Yu.E. Voskoboynikov, A.F. Zadorozhny, L.A. Litvinov, Yu.G. Black. SOLVING ENGINEERING PROBLEMS IN MATHCAD PACKAGE: textbook allowance; Novosib. state architecture-builds University (Sibstrin). – Novosibirsk: NGASU (Sibstrin), 2013. – 120 p.
The tutorial examines the solution of engineering problems in the MathCAD mathematical package, both using the built-in functions of the package and programming the necessary computational algorithms.
Yu.E. Voskoboynikov, A.F. Zadorozhny. Basics of working in the MathCAD package
textbook allowance/Novosib. state architecture-builds University (Sibstrin). - Novosibirsk: NGASU (Sibstrin), 2006. - 138 p.
The tutorial covers the basic structures of the built-in language of the mathematical package. The basics of working in the MathCAD package for creating documents, plotting graphs, matrix and vector operations, programming the main types of computational algorithms (linear, branching and loops) and generating data files are described in detail. The presentation is accompanied by a large number of examples and tasks, which contributes to better assimilation of the material.
Voskoboynikov Yu.E. Programming in the mathematical package MathCad. Novosibirsk: publishing house NGASU, 1999
The guidelines discuss the basic structures of the built-in language of the Mathcad Professional mathematical package and their use for programming the main types of computational algorithms (linear, branching and loops). The presentation is accompanied by a consideration of a large number of examples and problems, which contributes to better assimilation of the material.
The guidelines are intended for full-time students of all specialties studying computer science, and are also useful for graduate students and engineers who use this mathematical package in their calculations.
Yu.E. Voskoboynikov, V.F. Points. PROGRAMMING AND SOLVING PROBLEMS IN THE MATHCAD PACKAGE. TUTORIAL. NGASU. 2002. – 138 S.
The tutorial describes in sufficient detail the MathCAD constructs (Russified version of MathCAD2001i) necessary for the implementation of various types of algorithms: linear, branching and cyclic. The main attention is paid to the development of program modules - MathCAD subprograms-functions. The implementation of the modular programming method is discussed. The solution of “typical” problems encountered during calculation and projection is also considered. building structures and discusses the issues of “import and export” of data in the MathCAD package.
Voskoboynikov Yu. E.
Construction of regression models in the MathCAD package: textbook. allowance / Yu. E. Voskoboynikov; Novosib. state architecture-builds univ. – Novosibirsk: NGASU (Sibstrin), 2009. – 220 p. ISBN-978-5-7795-0422-5
The textbook contains basic theoretical principles for the following sections of regression analysis of experimental data: regression models and regression modeling, paired and multiple regression analysis. The necessary calculation ratios are given. Much attention is paid to the implementation of these relationships in the MathCAD mathematical package. The tutorial contains a large number of examples and copies of fragments of MathCAD documents, which will allow students not only to better understand and assimilate the educational material, but also to effectively use the MathCAD package when performing coursework and thesis.
The textbook is intended for undergraduates and graduate students of technical specialties.
Attention! With textbook Yu.E. Voskoboinikov "Regression data analysis in the MATHCAD package" (with CD, Lan publishing house, 2011) You can find it at
A.P. Vorobyova. Standard numerical methods for solving problems using the MathCad package. Laboratory workshop. Novosibirsk, NGASU (Sibstrin), 2018
Laboratory workshop for full-time students of the "Construction" major. Contains tasks for laboratory work on numerical methods and samples of their implementation
I.A. BEDAREV, Yu.V. KRATOVA, N.N. FEDOROVA, I.A. FEDORCHENKO. Calculation methods in the MathCAD package. NOVOSIBIRSK, NGASU (Sibstrin), 2013.
The textbook provides methods for approximate solution of nonlinear algebraic equations, systems of linear algebraic equations, methods of interpolation, optimization, numerical differentiation and integration, computational approaches to solving Cauchy problems and boundary value problems for ordinary differential equations, as well as finite-difference methods for solving partial equations derivatives. Examples of implementations of these numerical approaches are given, both based on standard functions of the MathCAD package and using the programming tools of this environment.
Programming languages
A. P. Vorobyova, M. S. Soppa. Turbo Pascal programming system: textbook. manual: ed. NGASU (Sibstrin). – 2nd ed., revised. and additional – Novosibirsk: NGASU (Sibstrin), 2006. – 136 p.
The first part of the manual covers the basic concepts of the MS DOS operating system, the Norton Commander tool shell program, as well as working in the Turbo Pascal integrated environment. The second part is devoted to the basics of programming in the Turbo Pascal language. The manual contains a fairly large number of test questions and tasks for independent work, promoting better assimilation of the material.
The textbook is intended for students of all specialties and forms of study.
LECTURES ON PASCAL FOR IST STUDENTS
| , 2009 |
LITVINOV L.A., FIRST STEPS IN PROGRAMMING IN TURBO PASCAL LANGUAGE. LABORATORY PRACTICUMON THE COURSE "INFORMATICS" (2011)
| Download the manual in ZIP archive |
I.N. Mukhina, N.P. Kislenko. Computer science. Individual assignments and guidelines for students of specialty 230201 "Information systems and technologies"
methodical instructions/ Novosib. state architecture-builds University (Sibstrin). - Novosibirsk: NGASU (Sibstrin), 2008. - 76 p.
The guidelines offer a large number of practically interesting and useful tasks on the basics of programming.
Information technology, office programs
Ershova E. E. Laboratory workshop on modern computer technologies. Part 1. Word textbook. allowance; Novosib. state architecture-builds University (Sibstrin). - Novosibirsk: NGASU (Sibstrin), 2007. - 136 p.
The textbook is written in accordance with the program of the courses "Informatics" and "Information Technologies", contains laboratory work covering the basic capabilities of the Word editor used in creating various documents: letters, congratulations, reports, term papers and dissertations, reports, electronic documents and textbooks , electronic tests, etc. Each laboratory work is provided with detailed recommendations for its successful completion.
The textbook is intended for students of specialty 040201 "Sociology", it will be useful for students of other specialties and teachers as practical guide in learning the Word editor.
Ershova E. E. Laboratory workshop on modern computer technologies. Part 2. Excel tutorial. manual / E. E. Ershova; Novosib. state architecture-builds University (Sibstrin). - Novosibirsk: NGASU (Sibstrin), 2007. - 80 p.
The textbook is written in accordance with the program of courses "Informatics", "Probability Theory and Mathematical Statistics", "Information Technologies" and "Mathematical Modeling of Social Processes", contains laboratory work covering the basic capabilities of Excel spreadsheets used in solving various mathematical and sociological tasks. Each laboratory work is provided with detailed recommendations for its successful completion.
The textbook is intended for students of the specialty 040201 “Sociology”; it will be useful to all students and teachers as a practical guide in the study of Excel spreadsheets.
Ershova E.E., Ershov I.V. Laboratory workshop on modern computer technologies. Part 3. MathCAD textbook. manual / E. E. Ershova, I. V. Ershov; Novosib. state architecture-builds University (Sibstrin). - Novosibirsk: NGASU (Sibstrin), 2007. - 52 p.
The textbook is written in accordance with the program of the courses "Informatics", "Probability Theory and Mathematical Statistics", "Information Technologies" and "Mathematical Modeling of Social Processes", contains laboratory work covering the main capabilities of the MathCAD system, used in solving various mathematical and sociological problems . Each laboratory work is provided with detailed recommendations for its successful completion.
The textbook is intended for students of specialty 040201 “Sociology”; it will be useful to all students and teachers as a practical guide in studying the MathCAD 2001 Professional system.
A.P. Vorobyova, Yu.A. Galkina. Basics of working in Microsoft Access. : textbook manual: ed. NGASU (Sibstrin). – Novosibirsk: NGASU (Sibstrin), 2010. – 148 p.
The tutorial discusses the theoretical foundations and operating principles of the Microsoft Access 2003 DBMS. The contents of the tutorial are divided into two parts. The first part provides the basic theoretical principles necessary for the successful development of Access. The second part contains laboratory work on the main sections of Access: creating simple and related tables, queries, forms, reports.
Probability theory, mathematical statistics
Voskoboynikov Yu.E., Balanchuk T.T. Probability theory and mathematical statistics (with examples in Excel): Textbook - Novosibirsk: NGASU (Sibstrin), 2013. - 200 p.
The textbook examines the basic concepts of probability theory relating to random events, discrete and continuous random variables. Much attention is paid to sections of mathematical statistics: point and interval estimation of parameters of random variables, testing of statistical hypotheses. The textbook contains copies of a large number of fragments of Excel documents, which will allow students not only to better understand the educational material, but also to effectively use the Excel program when completing coursework and dissertations.
The textbook is intended for students studying in the areas 080200.62 “Management”, 080100.62 “Economics”, 230400.62 “Information Systems and Technologies”, as well as undergraduates and graduate students of relevant specialties.
E. I. Timoshenko, M. S. Soppa Problems and exercises in probability theory
The textbook is intended for use in the educational process by students of all specialties and forms of study when studying probability theory. This discipline is an integral part of general mathematical training in accordance with the requirements reflected in the State Standards. This manual provides the specified course with exercises and tasks.
The collection consists of ten sections, each of which contains tasks recommended for solution both in practical classes and seminars, and during independent work of students.
Voskoboynikov Yu.E., Timoshenko E.I. Mathematical statistics: Textbook. Novosibirsk: publishing house NGASU, 2000
Textbook Yu.E. Voskoboynikova, E.I. Timoshenko "Mathematical Statistics" contains the most important sections of mathematical statistics: point and interval estimation of distribution parameters, testing of various statistical hypotheses. A clear and concise presentation of educational material certainly contributes to high-quality learning of the training course. A large number of examples given will allow students to better understand and assimilate not only general theoretical principles, but also possible areas of application of mathematical statistics.
Although the textbook is written in accordance with the course program "Mathematical Statistics" for specialty 060800, it will also be useful to students of other specialties at construction universities.
Voskoboynikov Yu.E., Timoshenko E.I. Mathematical statistics with examples in Excel: Textbook. Novosibirsk: publishing house NGASU, 2006, - 154 p.
The textbook contains the most important sections of mathematical statistics: point and interval estimation of distribution parameters, testing of various statistical hypotheses. A large number of examples are given that will allow students to better understand and assimilate not only general theoretical principles, but also possible areas of application of mathematical statistics. The tutorial contains solutions to typical examples in the Excel spreadsheet processor.
M. S. Soppa, A. F. Voronin. Theory of Probability and Mathematical Statistics textbook allowance/Novosib. state architecture-builds University (Sibstrin). - Novosibirsk: NGASU (Sibstrin), 2007. - 76 p.
The textbook examines the basic concepts of probability theory relating to random events, discrete and continuous random variables. Much attention is paid to sections of mathematical statistics: point and interval estimation of parameters of random variables, testing of statistical hypotheses, elements of the theory of random processes.
The textbook is intended for students of specialty 230201 "Information systems and technologies."
Optimization methods, mathematical programming
Kiseleva E.V., Solovyova S.I. Mathematical programming (linear programming): Textbook. Novosibirsk: publishing house NGASU, 2002, - 146 p.
The textbook is intended for students of specialty 060800 "Economics and Management (in Construction)" of all forms of study. Written in accordance with the course syllabus "Mathematical Programming". Contains 7 topics and the application "Using Excel to solve linear programming problems." Along with the presentation of the theory, the solution of a large number of examples and problems is discussed in detail.
Test questions on topics and tasks for individual assignments and independent solutions are provided.
Econometrics
Voskoboynikov Yu. E. Econometrics in Excel: textbook. allowance. Part 1. Paired and multiple regression analysis / Yu. E. Voskoboynikov; Novosib. state architecture-builds univ. – Novosibirsk: NGASU (Sibstrin), 2005. – 182 p.
The textbook contains basic theoretical principles on the following sections of econometrics: econometric models and econometric modeling, paired and multiple regression analysis. The necessary calculation ratios are given. Much attention is paid to the implementation of these relationships in the Excel spreadsheet processor. The textbook contains a large number of examples and copies of fragments of Excel documents, which will allow students not only to better understand and master the educational material, but also to effectively use Excel when completing coursework and dissertations.
Voskoboynikov Yu. E. Econometrics in Excel: textbook. allowance. Part 2. Analysis of time series / Yu. E. Voskoboynikov; Novosib. state architecture-builds univ. – Novosibirsk: NGASU (Sibstrin), 2008. – 152 p.
The textbook contains the basic theoretical principles necessary for solving problems of time series analysis. The necessary calculation ratios are given. Much attention is paid to the implementation of these relationships in the Excel spreadsheet processor. The manual contains a large number of examples and copies of fragments of Excel documents, which will allow students not only to better understand and assimilate the educational material, but also to effectively use Excel when completing their thesis and coursework.
Voskoboynikov Yu.E., Voskoboynikova T.N. Guidelines for laboratory work in econometrics. Novosibirsk: ed. IME, 2006 - 62 p.
The guidelines contain a description of laboratory work and the necessary calculation ratios for their implementation. The main attention is paid to the implementation of these relationships in the Excel spreadsheet. Two tests are also given and recommendations for their implementation are given.
Internet technologies
Kislenko N.P. Basics of working on the Internet. Methodical instructions. Novosibirsk: publishing house NGASU, 2000
The guidelines describe the global computer network Internet and the means of working with it - the Internet Explorer browser, e-mail, FTP.
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 amount 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 topics when choosing topics for final qualifying papers.
At the same time, BaseGroup launched an academic initiative: it opened an e-learning center, where it offered cutting-edge 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, we received teaching materials 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? What 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, studying methods and means of data mining, acquiring skills in working with Data Mining tools. The main tasks are:
- acquaintance with modern approaches to the analysis of 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).
The capabilities of the 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 special 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. Using new data, we have developed guidelines for 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 mathematical scientist and teacher with extensive experience, 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 educational material, and the many available data visualization methods (neural network graph, Kohonen networks, decision trees, rock diagram, contingency table and many others) greatly facilitate students’ perception of the content solved business problems. Thanks to the accessibility and clarity of data analysis methods implemented in Deductor, students remain mainly creative work: study of the subject area, selection of solution methods, interpretation of 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”; “Application of modern information tools and technologies to solve 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”, Nizhny Novgorod branch JSC "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. The integration of the Deductor analytical platform and the 1C accounting system 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 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 professional competencies 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, as part of the activities of the International Center for Interdisciplinary Research, a winter school was held in February 2013 “ Modern methods analysis and management".
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 lot of joint work was done to shape the image of the business analyst profession.
The result of cooperation is also the publication of two textbooks, the publication of articles and scientific works 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 teachers of data analysis at all universities in the country, because there are specialist blogs, interviews and presentations from various conferences, a bank of scenarios and a database of real-life examples implementations. I think that scientists, university teachers, and practitioners could continue this tradition by publicly providing interesting examples for their colleagues, students, 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 proportion of independent work of students significantly increases, 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 the company’s new product – the Loginom 6 analytical platform, 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 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.
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In November 2017, a new version of the analytical platform - Loginom - was released. 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 gives an idea that its release will undoubtedly be accompanied by an expansion and deepening of knowledge in the field of data analysis, which will of course entail changes and improvements curricula both for bachelors and 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 universal knowledge necessary for effective use in various fields 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 processing and analysis tools. 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 technologies and data analysis software to meet them.
