Gdańsk, Poland

Informatics and Econometrics

Informatyka i ekonometria

Bachelor's
Language: PolishStudies in Polish
Subject area: computer science
Kind of studies: full-time studies, part-time studies
  • Description:

  • pl
University website: en.ug.edu.pl
Econometrics
Econometrics is the application of statistical methods to economic data and is described as the branch of economics that aims to give empirical content to economic relations. More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference". An introductory economics textbook describes econometrics as allowing economists "to sift through mountains of data to extract simple relationships". The first known use of the term "econometrics" (in cognate form) was by Polish economist Paweł Ciompa in 1910. Jan Tinbergen is considered by many to be one of the founding fathers of econometrics. Ragnar Frisch is credited with coining the term in the sense in which it is used today.
Informatics
Informatics is a branch of information engineering. It involves the practice of information processing and the engineering of information systems, and as an academic field it is an applied form of information science. The field considers the interaction between humans and information alongside the construction of interfaces, organisations, technologies and systems. As such, the field of informatics has great breadth and encompasses many subspecialties, including disciplines of computer science, information systems, information technology and statistics. Since the advent of computers, individuals and organizations increasingly process information digitally. This has led to the study of informatics with computational, mathematical, biological, cognitive and social aspects, including study of the social impact of information technologies.
Econometrics
The possibility of a stable economic life with full utilization of our resources is still not sufficiently assured, and it is extremely important that it should be so assured, and that the whole world should accept this as a fact. The work that is being done in econometrics is massive, and undaunted by mathematical difficulties, but it appears, at any rate as viewed from outside, to be unclear as to its aim.
Arnold Tustin The Mechanism of Economic Systems (1953) p. 1
Econometrics
Though he died in 1946, Keynes still dominated economics at Cambridge in the mid-1960s. It wasn't just that all the leading figures among the faculty, Richard Kahn, Joan Robinson, Brian Reddaway, David Champernowne, Nicholas Kaldor, and James Meade, had been his pupils and/or collaborators. It was the tone of the place. The study of economics, theoretical or empirical, was driven by the desire to improve the conduct of economic policy. This did not mean that pure theory was neglected. Indeed, in those years Robinson was fighting a stirring battle in the realms of high theory with Paul Samuelson and Robert Solow from the Massachusetts Institute of Technology. Nor was Cambridge innocent of the cutting edge of econometric technique. Richard Stone, who, following Keynes's suggestions, had created the first modern national income accounts, was still director of the Department of Applied Economics where much of modern econometrics was pioneered. Nonetheless, we were taught that theory and technique should serve the higher cause of rational economic policies, and to use our newly learned econometric expertise to write essays on unemployment, or inflation, or the balance of trade, or some other topic at the top of the current political agenda.
John Eatwell, "Citizen Keynes", The American Prospect (1994)
Econometrics
The successes of modern control theory in the design of highly accurate space navigation systems have stimulated its use in the theoretical analyses of economic and biological systems. Similarly, the effectiveness of computer simulation techniques in the macroscopic analyses of physical systems has brought into vogue the use of computer-based econometric models for purposes of forecasting, economic planning, and management.
Lotfi A. Zadeh Outline of a new approach to the analysis of complex systems and decision processes (1973) p. 28

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