DESCRIPTION OF THE DEPARTMENT OF MATHEMATICAL METHODS AND INFORMATION TECHNOLOGIES IN ECONOMICS AND BUSINESS
The department was founded on 01/07/2020 by the order of the rector No. 01-07/772 on the basis of the decree of the Academic Council of the Russian-Armenian University No. 377 dated 06.05.2020.
The Department’s mission is to contribute to the training of highly qualified specialists in economics and management who possess a solid command of modern mathematical methods, quantitative analysis and modeling, as well as information technologies and applied software tools. The Department provides mathematical and IT training for the educational programs of the Institute of Economics and Business, forming an interdepartmental core of disciplines required for educating students in economics-related fields.
The educational process is focused on the practical application of tools and methods: within the courses, students complete project-based assignments, analyze applied case studies, and work with real datasets, including statistics of the Republic of Armenia and international databases (for example, the World Bank, the IMF, etc.), followed by interpretation of results and presentation of conclusions.
The Department delivers courses in the following areas:
• Mathematical modeling and econometrics (including “Applied Econometrics,” “Operations Research,” “Socio-Economic Statistics,” etc.).
• Information technologies (including “Informatics,” “Digital Literacy,” “Management Information Systems,” “Programming in R,” “Fundamentals of Artificial Intelligence,” etc.).
• Higher mathematics (including “Mathematical Analysis,” “Linear Algebra,” “Probability Theory and Mathematical Statistics,” etc.).
The Department also carries out educational, methodological, and research activities. Among its outputs are the textbook “Տնտեսամաթեմատիկական մեթոդներ և մոդելներ” (Economic and Mathematical Methods and Models) and the article “Տնտեսամաթեմատիկական մտածելակերպ. տնտեսամաթեմատիկական խնդիրների լուծման արդյունավետ մեթոդ” (Economic-Mathematical Thinking: An Effective Method for Solving Economic-Mathematical Problems).
Bachelor's degree programs in the following specialties:
• Actuarial and financial mathematics (Armenian sector)
Master's degree programs in the following specialties:
• Artificial Intelligence in Economics
Brief information (biography)
Ashot Tavadyan is member of the Russian Academy of Natural Sciences, member of the International Information Academy of Canada.
Ashot Tavadyan has a background in economics and received a degree from Yerevan State University in 1975 with honors. He also hold a PhD in economics from the Central Economic Mathematical Institute of the USSR Academy of Sciences in Moscow. He has worked as an assistant and associate professor at Yerevan Institute of National Economy, and as a visiting PhD candidate at the Central Economic Mathematical Institute of the USSR Academy of Sciences. Ashot Tavadyan also held positions as a professor at Yerevan Institute of National Economy, a chief adviser at Armimpex Bank, chairman of the Republic Expert Commission on Economics, Chairman of the Control Chamber of the National Assembly of the Republic of Armenia, and Director of the Center for Economic Research. He was a professor and department head at the Armenian State University of Economics from 2007 to 2022.
Intervals of Uncertainty of Economy
A.A. Tavadyan developed interval methods for researching economic indicators under uncertainty. He formulated the relationship between uncertainties and the minimum interval of uncertainty, the expanding uncertainty band effect, and the sensitivity thresholds of economic indicators. He presented the principles of systematizing and predicting economic indicators. The author's developed concept of studying economic processes is presented in the following books: "Systemology of Economic Categories" (M.Nauka), "Intervals of Economic Uncertainty" (M.Nauka), "Uncertainty Bands and Economic Variability" (M. Flinta), and "Uncertainty Bands: A Guide to Predicting and Regulating Economic Processes" (London, Anthem Press).