The Computer Input/Output Subsystem Education in an undergraduate introductory course: a Multiperspective Study

240 p.

Segregation: theoretical approach. an empirical analysis of gender segregation in undergraduate studies at the University of the Basque Country.

The aim of this study is to analyze the gender segregation in undergraduate studies in the University from Basque Country (UPV/EHU). We use data from UPV/EHU for the period 2003-2013. We focus on the period from 2003 to 2013 to analyze the changes in the segregation over ten years. We analyze the tendencies of the men and the women inside undergraduate studies. Undergraduate studies are decomposed into five fields: Legal and social sciences, experimental sciences, engineering, arts and humanities, and health sciences. We draw segregation curves and compute the Gini segregation index within the Lorenz approach. Our results show that the gender segregation in undergraduate studies in the UPV/EHU has decreased from 2003 to 2013.

Gender segregation in technological undergraduate studies in the University of the Basque Country (UPV/EHU)

In this work we study the gender segregation in technological undergraduate studies in the University of The Basque Country (UPV/EHU). For this study we use the data of new admissions at the UPV/EHU. They are from the time period of the years 2003-2013. We focus on the first and last year to check if the segregation has changed over these ten years. We build segregation curves within the Lorenz approach. Our results show that the gender segregation in technological undergraduate studies in the University of the Basque Country has increased over the last ten years. We also show that the distribution between men and women has changed.  

Some experiments on solving multistage stochastic mixed 0-1 programs with time stochastic dominance constraints

In this work we extend to the multistage case two recent risk averse measures for two-stage stochastic programs based on first- and second-order stochastic dominance constraints induced by mixed-integer linear recourse. Additionally, we consider Time Stochastic Dominance (TSD) along a given horizon. Given the dimensions of medium-sized problems augmented by the new variables and constraints required by those risk measures, it is unrealistic to solve the problem up to optimality by plain use of MIP solvers in a reasonable computing time, at least. Instead of it, decomposition algorithms of some type should be used. We present an extension of our Branch-and-Fix Coordination algorithm, so named BFC-TSD, where a special treatment is given to cross scenario group constraints that link variables from different scenario groups. A broad computational experience is presented by comparing the risk neutral approach and the tested risk averse strategies. The performance of the new version of the BFC algorithm versus the plain use of a state-of-the-artMIP solver is also reported.