Skills in computer science can have great value in studying, doing, and communicating physics. As educators, we asked ourselves how to make students aware of that, and how to offer them a new and appealing approach to physics. We also wondered how to increase students' engagement, participation, and understanding, particularly when lessons are delivered online. Thus, we began a project to develop study materials for an introductory course in physics for computer science and we chose to use open source software. The materials are organized as a set of Jupyter notebooks hosted on an open GitHub repository. The notebooks deal with the fundamental concepts of physics related to everyday life, offering examples of what can be done with a few lines of Python code.In the notebooks we propose activities to observe phenomena, describe problems, experiment, acquire and analyze data, and model the behavior of systems. The contents are suitable for undergraduates, high-school students, and evergreen students. We have used the materials for lectures, guided laboratory activities, and presentations to freshmen and younger students, and we plan to continue with this project.
In this paper we describe our experience with building the loius dataset, an interlinked RDF-based version of the Italian Ministry of Education, University and Research 1 data, containing statistics about University student activities. The "Linking Italian University Statistics" Project (from now on LOIUS) aims to set up a semantic platform serving both humans and machines to efficiently explore the MIUR statistics and, at the same time, to be a contribute to the Linked Data 2 community.
Skills in computer science can have great value in studying, doing and
communicating physics. As educators, we asked ourselves how to make
students aware of that, and how to offer them a new and appealing
approach to physics. We also wondered how to increase students’
engagement, participation and understanding, particularly when lessons
are delivered online. Thus, we began a project to develop study
materials for an introductory course in physics for computer science and
we chose to use open source software. The materials are organized as a
set of Jupyter notebooks hosted on an open GitHub repository. The
notebooks deal with fundamental concepts of physics related to everyday
life, offering examples of what can be done with a few lines of Python
code. In the notebooks we propose activities to observe phenomena,
describe problems, experiment, acquire and analyze data, and model the
behavior of systems. The contents are suitable for undergraduates,
high-school students, and evergreen students. We have used the materials
for lectures, guided laboratory activities and presentations to freshmen
and younger students, and we plan to continue with this project.
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