EXPERIENCES IN THE DEVELOPMENT OF A COMPUTER NETWORKING COURSE

Manuel Mollar, Ricardo Chalmeta, Salvador Sanchez
2019 EDULEARN19 Proceedings   unpublished
The degree in Computational Mathematics Universitat Jaume I (UJI) of Castellón, Spain, is a degree that offers a training that unites mathematics with computer science and focuses on areas where both are very relevant. The graduate in this degree have a mixed profile because it combines a theoretical training, typical of a pure degree in mathematics, with the technical training of a pure degree in computer science. This mixed profile make them very versatile, that is, with the ability to
more » ... e ability to perform different types of tasks and have a high rate of employment. On the other hand, their capacity for analysis and abstraction will allow them to adapt very easily to any change and innovation. This degree is composed by different courses. One of these courses is the introduction to computer networking course. Computer networks allow its users to communicate and share information regardless of the geographic distance between them. Ensuring the optimal operation of computer networks is no easy task, and there is a necessity of highly trained professionals with a solid knowledge of network planning, design, and configuration, as well as the capacity to address the different and complex connectivity and security requirements. The computer networking course provides students with the fundamental concepts of computer networks along with training to acquire the basic skills necessary to solve the various technical problems of the world of computer networks. The aim of this paper is to show the methodology and learning solutions used to train the students to to plan flexible, scalable computer networking systems for a business or organization of virtually any size. Paper shows the course objectives, the target competencies, the course contents, the assessments, and how the technology resources for e-learning are used to teach the subject.
doi:10.21125/edulearn.2019.0219 fatcat:zkx2s7up25h47keuhx2xfqee5i