The necessity of lifelong learning is more and more recognized. Therefore, improvement of learning is very important. The process capability maturity modeling elaborated by the Software Engineering community could be employed for this purpose. This paper contributes to the solution of learning improvement problem based on process quality attributes modeling approach. The consciousness as a lear...

Insuring the progressive development of generic and disciplinespecific high-level skills in a university degree is hard. This is partly because the skills are defined broadly, in terms of multiple curriculum frameworks which have different granularity and terms. Another key challenge is the definition of skill level progression, the very ill-defined notion of maturity. This paper describes the ...

The paper presents a methodology for simulating the static and dynamic performance of integrated circuits in the presence of electro-thermal interactions on the integrated circuit die. The technique is based on the coupling of a finite element method (FEM) program with a circuit simulator. In difference to other known simulator couplings a time step algorithm is used. Its implementation into si...

In this paper, we study optimal control problems associated with a scalar hyperbolic conservation law modeling the development of ovarian follicles. Changes in the age and maturity of follicular cells are described by a 2D conservation law, where the control terms act on the velocities. The control problem consists in optimizing the follicular cell resources so that the follicular maturity reac...

Companies have more and more trends to automate their operational and organizational activities, therefore the investment of information technology (IT) continues to increase every year. However, good governance that can ensure the alignment of IT and business strategy and realized benefits from IT investments has not always followed this increase. Measurement of IT governance is then required ...

The present research deals with the review of the analysis and modeling of Swiss franc interest rate curves (IRC) by using unsupervised (SOM, Gaussian Mixtures) and supervised machine (MLP) learning algorithms. IRC are considered as objects embedded into different feature spaces: maturities; maturity-date, parameters of Nelson-Siegel model (NSM). Analysis of NSM parameters and their temporal an...