Proactive engineering

This paper presents two initiatives run by groups of engineering students at the University of Porto: the Microelectronics Students' Group and BioStar. These groups are student-led initiatives that promote different scientific fields through self-guided projects. Both experiences have proven to be very successful in increasing the undergraduate student's interest in science and technology. This work reports the activities, organization and main methodologies employed by these groups, which can be seen as successful approaches to enhance the technical curriculum of students.

[1]  Cândido Duarte,et al.  Microelectronics Students' Group , 2010 .

[2]  Cândido Duarte,et al.  Network infrastructure for academic IC CAD environments , 2011, 2011 IEEE EUROCON - International Conference on Computer as a Tool.

[3]  Jaime S. Cardoso,et al.  An accurate and interpretable model for BCCT.core , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[4]  Filipe Magalhães,et al.  Hand-Geometry Based Recognition System - A Non Restricted Acquisition Approach , 2012, ICIAR.

[5]  D. Dias,et al.  Computational vision applied to the segmentation and morphometric characterization of the sciatic nerve in microscopic images , 2010 .

[6]  Diogo Santos Martins Biometric recognition based on the texture along palmprint principal lines , 2011 .

[7]  Aurélio J. C. Campilho,et al.  A new method for the detection of singular points in fingerprint images , 2009, 2009 Workshop on Applications of Computer Vision (WACV).

[8]  Mircea Covrig,et al.  Does the implementation of the Bologna process in higher technical education require a new approach to motivate the actors involved in the educational process? , 2011, 2011 7TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE).

[9]  Inesc Porto,et al.  Hand Geometry Based Recognition System - A New Method with no Constraints on Image Acquisition , 2010 .

[10]  J. Soares,et al.  Uncalibrated stereo vision applied to breast cancer treatment aesthetic assessment , 2011 .

[11]  Jaime S. Cardoso,et al.  INbreast: toward a full-field digital mammographic database. , 2012, Academic radiology.