Jaime E. Villate

A place for arguing in engineering education: a study on students’ assessments

This paper focuses on the issue of how engineering programmes demand and/or promote argumentative reasoning, which is a subsequent aspect of curricular development. This was the main objective of the project on which this paper reports. This is to say that the focus is on assessment as a way to establish to what extent argumentative reasoning is demanded and mobilised in teaching and learning processes. This aim was achieved using a sample of assignments developed in courses in different Bologna undergraduate programmes at the Engineering School at the University of Porto, during the first semester of the academic year 2009/2010. Whereas problem solving in engineering constitutes a structural element in the curricular organisation of the engineering programmes and is strongly related to argumentative skills, it was possible to conclude that students demonstrate and explain extensively, but do not argue, possibly because their teachers do not invite them to do so in assessment situations.

HEP@Home - A distributed computing system based on BOINC

Project SETI@HOME has proven to be one of the biggest successes of distributed computing during the last years. With a quite simple approach SETI manages to process large volumes of data using a vast amount of distributed computer power. To extend the generic usage of this kind of distributed computing tools, BOINC is being developed. In this paper we propose HEP@HOME, a BOINC version tailored to the specific requirements of the High Energy Physics (HEP) community. The HEP@HOME will be able to process large amounts of data using virtually unlimited computing power, as BOINC does, and it should be able to work according to HEP specifications. In HEP the amounts of data to be analyzed or reconstructed are of central importance. Therefore, one of the design principles of this tool is to avoid data transfer. This will allow scientists to run their analysis applications and taking advantage of a large number of CPUs. This tool also satisfies other important requirements in HEP, namely, security, fault-tolerance and monitoring.

A distributed data storage architecture for event processing by using the globus grid toolkit

In this paper we discuss a Grid-based Event Processing System (GEPS). Data intensive problems broadly exist in many scientific computational areas; usually their needs for super storage and computing capacities are difficult to be fully satisfied. Meanwhile the Globus Toolkit has become the de facto standard of building high performance distributed computing environments. Event processing and filtering is a kind of data intensive problem in high-energy physics area. Using the Globus grid toolkit, we have constructed the GEPS system, which provides web-based access to grid computing environments for event processing. Performance result indicates that event processing and filtering can be effectively implemented on GEPS.