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A Review of Teaching and Learning through Practice of Optimization Algorithms

A Review of Teaching and Learning through Practice of Optimization Algorithms
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Author(s): J. Ángel Velázquez-Iturbide (Universidad Rey Juan Carlos, Spain), Ouafae Debdi (Universidad Rey Juan Carlos, Spain) and Maximiliano Paredes-Velasco (Universidad Rey Juan Carlos, Spain)
Copyright: 2015
Pages: 23
Source title: Innovative Teaching Strategies and New Learning Paradigms in Computer Programming
Source Author(s)/Editor(s): Ricardo Queirós (Polytechnic Institute of Porto, Portugal)
DOI: 10.4018/978-1-4666-7304-5.ch004

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Abstract

Algorithmics is an important core subject matter in computer science education. In particular, optimization algorithms are some of the most difficult to master because their problem statement includes an additional property, namely optimality. The chapter contains a comprehensive survey of the teaching and learning through practice of optimization algorithms. In particular, three important issues are reviewed. Firstly, the authors review educational methods which partially or completely address optimization algorithms. Secondly, educational software systems are reviewed and classified according to technical and educational criteria. Thirdly, students' difficulties and misunderstandings regarding optimization algorithms are presented. The chapter intends to consolidate current knowledge about the education of this class of algorithms for both computer science teachers and computer science education researchers.

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