3 Search Results for "Silva, Marco"

Document
DOI: 10.4230/OASIcs.ICPEC.2022.9
Integration of Computer Science Assessment into Learning Management Systems with JuezLTI

Authors: Juan V. Carrillo, Alberto Sierra, José Paulo Leal, Ricardo Queirós, Salvador Pellicer, and Marco Primo

Published in: OASIcs, Volume 102, Third International Computer Programming Education Conference (ICPEC 2022)

Abstract
Computer science is a skill that will continue to be in high demand in the foreseeable future. Despite this trend, automated assessment in computer science is often hampered by the lack of systems supporting a wide range of topics. While there is a number of open software systems and programming exercise collections supporting automated assessment, up to this date, there are few systems that offer a diversity of exercises ranging from computer programming exercises to markup and databases languages. At the same time, most of the best-of-breed solutions force teachers and students to alternate between the Learning Management System - a pivotal piece of the e-learning ecosystem - and the tool providing the exercises. This issue is addressed by JuezLTI, an international project whose goal is to create an innovative tool to allow the automatic assessment of exercises in a wide range of computer science topics. These topics include different languages used in computer science for programming, markup, and database management. JuezLTI borrows part of its name from the IMS Learning Tools Interoperability (IMS LTI) standard. With this standard, the tool will interoperate with reference systems such as Moodle, Sakai, Canvas, or Blackboard, among many others. Another contribution of JuezLTI will be a pool of exercises. Interoperability and content are expected to foster the adoption of JuezLTI by many institutions. This paper presents the JuezLTI project, its architecture, and its main components.
Cite as

Juan V. Carrillo, Alberto Sierra, José Paulo Leal, Ricardo Queirós, Salvador Pellicer, and Marco Primo. Integration of Computer Science Assessment into Learning Management Systems with JuezLTI. In Third International Computer Programming Education Conference (ICPEC 2022). Open Access Series in Informatics (OASIcs), Volume 102, pp. 9:1-9:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{carrillo_et_al:OASIcs.ICPEC.2022.9,
  author =	{Carrillo, Juan V. and Sierra, Alberto and Leal, Jos\'{e} Paulo and Queir\'{o}s, Ricardo and Pellicer, Salvador and Primo, Marco},
  title =	{{Integration of Computer Science Assessment into Learning Management Systems with JuezLTI}},
  booktitle =	{Third International Computer Programming Education Conference (ICPEC 2022)},
  pages =	{9:1--9:8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-229-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{102},
  editor =	{Sim\~{o}es, Alberto and Silva, Jo\~{a}o Carlos},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2022.9},
  URN =		{urn:nbn:de:0030-drops-166130},
  doi =		{10.4230/OASIcs.ICPEC.2022.9},
  annote =	{Keywords: programming, interoperability, automatic assessment, programming exercises}
}
Document
DOI: 10.4230/OASIcs.ATMOS.2021.12
A Branch-Price-And-Cut Algorithm for Stochastic Crowd Shipping Last-Mile Delivery with Correlated Marginals

Authors: Marco Silva, João Pedro Pedroso, Ana Viana, and Xenia Klimentova

Published in: OASIcs, Volume 96, 21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021)

Abstract
We study last-mile delivery with the option of crowd shipping, where a company makes use of occasional drivers to complement its vehicle’s fleet in the activity of delivering products to its customers. We model it as a data-driven distributionally robust optimization approach to the capacitated vehicle routing problem. We assume the marginals of the defined uncertainty vector are known, but the joint distribution is difficult to estimate. The presence of customers and available occasional drivers can be random. We adopt a strategic planning perspective, where an optimal a priori solution is calculated before the uncertainty is revealed. Therefore, without the need for online resolution performance, we can experiment with exact solutions. Solving the problem defined above is challenging: not only the first-stage problem is already NP-Hard, but also the uncertainty and potentially the second-stage decisions are binary of high dimension, leading to non-convex optimization formulations that are complex to solve. We propose a branch-price-and-cut algorithm taking into consideration measures that exploit the intrinsic characteristics of our problem and reduce the complexity to solve it.
Cite as

Marco Silva, João Pedro Pedroso, Ana Viana, and Xenia Klimentova. A Branch-Price-And-Cut Algorithm for Stochastic Crowd Shipping Last-Mile Delivery with Correlated Marginals. In 21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021). Open Access Series in Informatics (OASIcs), Volume 96, pp. 12:1-12:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{silva_et_al:OASIcs.ATMOS.2021.12,
  author =	{Silva, Marco and Pedroso, Jo\~{a}o Pedro and Viana, Ana and Klimentova, Xenia},
  title =	{{A Branch-Price-And-Cut Algorithm for Stochastic Crowd Shipping Last-Mile Delivery with Correlated Marginals}},
  booktitle =	{21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021)},
  pages =	{12:1--12:20},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-213-6},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{96},
  editor =	{M\"{u}ller-Hannemann, Matthias and Perea, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2021.12},
  URN =		{urn:nbn:de:0030-drops-148811},
  doi =		{10.4230/OASIcs.ATMOS.2021.12},
  annote =	{Keywords: Last-mile delivery, Stochastic Vehicle Routing Problem, Crowd shipping, Distributionally Robust Optimization, Data-driven Optimization}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2020.2
Challenges and Solutions from an Embedded Programming Bootcamp

Authors: J. Pedro Amaro, Jorge Barreiros, Fernanda Coutinho, João Durães, Frederico Santos, Ana Alves, Marco Silva, and João Cunha

Published in: OASIcs, Volume 81, First International Computer Programming Education Conference (ICPEC 2020)

Abstract
Due to the proliferation of IT companies developing web and mobile applications, computer programmers are in such high demand that universities can’t satisfy it with newly graduated students. In response, some organisations started to create coding bootcamps, providing intensive full-time courses focused on unemployed people or individuals seeking for a career change. There is, however, a different set of skills that is becoming increasingly required, but is not addressed by those courses: embedded programming. In fact, the Internet of Things is connecting every device to the internet, thus making knowledge on hardware and C/C++ programming very relevant skills. A group of computer science and electrical engineering university teachers, in collaboration with several industry stakeholders, have promoted an embedded systems programming course in C and C++. This course is based on an intensive project-based approach comprising 6 months of daylong classes followed by 9 months of paid internships. After two editions, thirty embedded programmers, with no relevant previous programming experience, have been placed with the partners’ working force. In this paper, the course organisation and pedagogical methodologies are described. Problems, challenges and adopted solutions are presented and analysed. We conclude that in spite of the intense rhythm and demanding nature of the subject matter, it is possible to find the structure and solutions that keep students engaged and motivated throughout the course, allowing them to gain the required competences and successfully transition into a new career path.
Cite as

J. Pedro Amaro, Jorge Barreiros, Fernanda Coutinho, João Durães, Frederico Santos, Ana Alves, Marco Silva, and João Cunha. Challenges and Solutions from an Embedded Programming Bootcamp. In First International Computer Programming Education Conference (ICPEC 2020). Open Access Series in Informatics (OASIcs), Volume 81, pp. 2:1-2:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{amaro_et_al:OASIcs.ICPEC.2020.2,
  author =	{Amaro, J. Pedro and Barreiros, Jorge and Coutinho, Fernanda and Dur\~{a}es, Jo\~{a}o and Santos, Frederico and Alves, Ana and Silva, Marco and Cunha, Jo\~{a}o},
  title =	{{Challenges and Solutions from an Embedded Programming Bootcamp}},
  booktitle =	{First International Computer Programming Education Conference (ICPEC 2020)},
  pages =	{2:1--2:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-153-5},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{81},
  editor =	{Queir\'{o}s, Ricardo and Portela, Filipe and Pinto, M\'{a}rio and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2020.2},
  URN =		{urn:nbn:de:0030-drops-122896},
  doi =		{10.4230/OASIcs.ICPEC.2020.2},
  annote =	{Keywords: Coding Bootcamp, Embedded Programming, Career Change}
}
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