@inproceedings{5490fbcf604742349c214d443bfd78ab,
title = "A Portfolio Competency Assessment Approach: Case Study, an Engineering Degree",
abstract = "The objective of this study is to propose an enabling strategy in complementary training competencies to generate qualified human capital in the mastery of advanced techniques in artificial neural networks. A horizontal case study is proposed which covers training stages in the student at an early stage for the training of a civil engineer in computer science. The case described here describes how the student, in the exploratory and training process, reaches a framework of maturity that allows him/her to validate specific competencies at different levels, such as applying computer science procedures, managing information technologies, software development, and modeling and applying engineering sciences. The coverage of competency integration courses allows maturity in knowledge, such as knowing, knowing how to know, knowing how to do, and being. The advances indicate a maturity of knowledge in the training process.",
keywords = "Algorithm, Detection, Images, Maturity, Methodology, Training",
author = "Marcos Levano and Billy Peralta and Juan Cid",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 9th International Conference on Systems and Informatics, ICSAI 2023 ; Conference date: 16-12-2023 Through 18-12-2023",
year = "2023",
doi = "10.1109/ICSAI61474.2023.10423368",
language = "English",
series = "ICSAI 2023 - 9th International Conference on Systems and Informatics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Shaowen Yao and Zhenli He and Zheng Xiao and Wanqing Tu and Wanqing Tu and Kenli Li and Lipo Wang",
booktitle = "ICSAI 2023 - 9th International Conference on Systems and Informatics",
}