scholarly journals Using Free Mathematical Software in Engineering Classes

Axioms ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 253
Author(s):  
Víctor Gayoso Martínez ◽  
Luis Hernández Encinas ◽  
Agustín Martín Muñoz ◽  
Araceli Queiruga Dios
Keyword(s):  
Open Source ◽  
Mathematical Software ◽  
Traditional Course ◽  
Engineering Studies ◽  
Unlimited Number

There are many computational applications and engines used in mathematics, with some of the best-known arguably being Maple, Mathematica, MATLAB, and Mathcad. However, although they are very complete and powerful, they demand the use of commercial licences, which can be a problem for some education institutions or in cases where students desire to use the software on an unlimited number of devices or to access it from several of them simultaneously. In this contribution, we show how GeoGebra, WolframAlpha, Python, and SageMath can be applied to the teaching of different mathematical courses in engineering studies, as they are some of the most interesting representatives of free (and mostly open source) mathematical software. As the best way to show a topic in mathematics is by providing examples, this article explains how to make calculations for some of the main topics associated with Calculus, Algebra, and Coding theories. In addition to this, we provide some results associated with the usage of Mathematica in different graded activities. Moreover, the comparison between the results from students that use Mathematica and students that participate in a “traditional” course, solving problems and attending to master classes, is shown.

scholarly journals Designing Automatic Meter Reading System Using Open Source Hardware and Software

2017 ◽  
Vol 7 (6) ◽  
pp. 3282 ◽  
Author(s):  
Dragan Mlakić ◽  
Srete Nikolovski ◽  
Emir Alibašić
Keyword(s):  
Open Source ◽  
Low Voltage ◽  
Electronic Components ◽  
Unlimited Number ◽  
Automatic Meter Reading ◽  
Automatic Meter Reading System ◽  
Reading System ◽  
Open Source Hardware ◽  
Physical Quantities

The importance of quality of the measured values is very dependent on the device that measures these values: the size of the sample, the time of measurement, periods of measurement, the mobility and the robustness of the device, etc. Contemporary devices intended for the measurement of physical quantities that are on the market vary in price, as well as and the quality of the measured values. The rule "the more expensive the better" is not necessarily always a rule that is valid because it all depends on the characteristics and capabilities of the device, and the customer’s needs. In this paper, a device based on "Open Source" components of hardware and software will be presented. Device was used to measure voltages and currents on low voltage networks, on which a virtually unlimited number of sensors can be added, and the device is assembled of components available on electronic components Internet.

Quality in Use Analysis to Evaluate User Experience of Open Source Software Compatible with MATLAB

2016 ◽  
Vol 7 (3) ◽  
pp. 1-19
Author(s):  
Manar Abu Talib
Keyword(s):  
Cognitive Load ◽  
Open Source ◽  
User Experience ◽  
Open Source Software ◽  
Mathematical Software ◽  
Numerical Computations ◽  
Positive Role ◽  
Quality Models ◽  
R Language ◽  
Quality In Use

Mathematical and statistical open source software (OSS) has played a vital and positive role in computing statistics, performing numerical computations, and solving for real and complex scalars. There is an enormous need to apply quality models to this type of software. In this paper, we present an inclusive set of current quality models and demonstrate their application to OSS. As very little research has been carried out on the quality in use assessment of mathematical software, this work investigates the application of the quality in use model inspired by ISO/IEC 25010 on three OSS products: Scilab, R-Language, and GNU Octave. We can confidently state that Scilab, R-Language, and GNU Octave perform similarly in terms of effectiveness, efficiency, productivity, and cognitive load. However, Scilab outperforms GNU Octave slightly when it comes to error safety.

Open Source

2007 ◽  
Author(s):  
Fadi P. Deek ◽  
James A. M. McHugh
Keyword(s):  
Open Source
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