Исследование качества высшего инженерного образования по данным анкетирования студентов с помощью метода нелинейных главных компонент (NLPCA)
The paper explores a suitability of higher education quality measurement from student's point of view, and analyses results of interviewing of students from engineering specialties in Perm universities. Nonlinear Principal Components Analysis (NLPCA) in interpretation of Gifi system was used as the tool for data processing. It takes into account a dissimilar statistical nature of questionnaire indicators. The method can be very promising for various socio-economic researches.
Papers, presented at 6th Annual ASEE International Forum
The paper is focused on changes in higher engineering education in Russia over the last decade. We assume that, as a result of technological and organizational changes in the markets young engineers are taught to work in, changes in education may be called for. The key change in the markets for engineers in Russia consists of the transition from planned to market economy, and thus the appearance of markets per se, and also in a shift away from a focus on the defense industry. To identify the possible changes and assess the current state of engineering education, we compare opinions of four target groups: university administrators, students, recent graduates, and employers.
An integral financial stability index is constructed using Israel macroeconomic data. Approaches relying on the use of dependent variable as well as principal component mathod and its modifications are examined. Obtained indexes are compared in terms of their forecast quality. In case of no dependent variable structural shift is analyzed.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.