IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Review of Teaching and Learning through Practice of Optimization Algorithms

A Review of Teaching and Learning through Practice of Optimization Algorithms
View Sample PDF
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

Purchase

View A Review of Teaching and Learning through Practice of Optimization Algorithms on the publisher's website for pricing and purchasing information.

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.

Related Content

Sunil Ramlall, Ted Cross, Michelle Love. © 2022. 13 pages.
Huri B. Kose, Isha Kalanee, Yetkin Yildirim. © 2022. 13 pages.
Zeynep Merve Ünal. © 2022. 28 pages.
Sharon Kehl Califano. © 2022. 16 pages.
Miary Andriamiarisoa. © 2022. 23 pages.
Matthew Williwam Hurtienne. © 2022. 17 pages.
Emily Guetzoian. © 2022. 18 pages.
Body Bottom