scholarly journals INCREASING THE EFFECTIVENESS OF TEACHINGCURSORSMATHEMATICAL ALGORITHMS,PRESENTED IN TABLE FORM

2020 ◽  
Vol 3 (28(55)) ◽  
pp. 42-45
Author(s):  
A.V. Parshin
Keyword(s):  
Linear Algebra ◽  
Personal Computers ◽  
Tabular Form ◽  
Excel Spreadsheet ◽  
Mathematical Algorithms ◽  
Video Network ◽  
Spreadsheet Software

In the discipline "Mathematics", taught in engineering universities, a number of mathematical algorithms are distinguished, the distinguishing feature of which is the tabular form of their presentation. They basically make up the content of the Linear Algebra section. Automation of this form by means of the MS Excel spreadsheet software by conducting classes using personal computers, additionally combined into a video network, leads to an increase in the effectiveness of teaching cadets how to calculate these algorithms.

scholarly journals O Ensino de Álgebra Linear para Engenharias utilizando o Scilab: aspectos matemáticos e computacionais / Teaching of Linear Algebra to Engineering Students using Scilab: mathematical and computational aspects

2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Marcos Rodrigues Pinto
Keyword(s):  
Equilibrium Point ◽  
Linear Algebra ◽  
Learning Process ◽  
Engineering Students ◽  
Algebraic Thinking ◽  
The Other ◽  
Personal Computers ◽  
Special Linear ◽  
Computational Aspects ◽  
Teaching Learning

ABSTRACTThe teaching of Algebra, in special Linear Algebra, to engineering students, come changing its focus since the popularization of personal computers. Various specialized softwares has been developed and has become feasible to pay more attention in the algebraic thinking to solve problems and minus attention in the calculus itself. But one needs to be careful to not go to the extreme of this teaching-learning process. The teaching of Algebra using computational software must not mean the teaching of a sequence of commands and its syntaxes. On the other hand, it must not mean to memorize a sequence of definitions and theorems. So we propose a equilibrium point based on our experience with students of engineering that attended in our lessons of Algebra with Scilab software.RESUMOO ensino de álgebra, especialmente álgebra linear (AL), para estudantes de engenharia, vem mudando seu foco desde a populariozação dos computadores pessoais. Diversos softwares especializados têm sido desenvolvidos e tornado possível prestar mais atenção ao pensamento algébrico para a solução de problemas do que ao cálculo em si. Mas é necessário ter-se cuidado para não ocupar os extremos nesse processo de ensino-aprendizagem. O ensino de álgebra usando softwares não deve significar ensinar uma sequência de comandos e suas sintaxes. Também não deve significar memorizar uma sequência de definições e teoremas. Assim, propõe-se um ponto de equilíbrio baseado na experiência com estudantes de engenharia que participaram das aulas de AL utilizando o Scilab.

scholarly journals Solving Transportation Models With Spreadsheet Software

2011 ◽  
Vol 6 (3) ◽  
pp. 60
Author(s):  
Steven C. Ross ◽  
Richard L. Schwaller
Keyword(s):  
Linear Programming ◽  
Personal Computers ◽  
Quantity Discounts ◽  
Model Formulation ◽  
Transportation Model ◽  
Transportation Models ◽  
Complex Models ◽  
University Colleges ◽  
Colleges Of Business ◽  
Spreadsheet Software

This paper describes the solution of transportation models on personal computers (PCs) using spreadsheet and other readily-available software. We choose PCs because of their commonness in university colleges of business and in organizations of all size. The models discussed include a simple transportation model and more complex models involving quantity discounts and multiple brands. The techniques are applicable to other linear programming situations. To facilitate their use, detailed descriptions of both model formulation and the use of the optimizing software are provided.

scholarly journals CAX and Xsel: a software bundle to aid in automating NAA spectrum analysis

2019 ◽  
Vol 7 (2A) ◽  
Author(s):  
Guilherme Soares Zahn ◽  
Lucas Stano Junqueira ◽  
Frederico Antonio Genezini
Keyword(s):  
Neutron Activation ◽  
Spectrum Analysis ◽  
Text File ◽  
Identification Procedure ◽  
Excel Spreadsheet ◽  
Daily Routines ◽  
Peak Identification ◽  
Important Addition ◽  
Time Required ◽  
Spreadsheet Software

In this work, the scripting capabilities of Genie-2000 were used to develop a software (CAX) that automatically analyses all spectrum files in either Ortec's CHN or Canberra's MCA or CNF formats in a folder, generating two output files: a print-ready text file (.DAT) and a Comma-Separated Values (.CSV) file which can be easily imported in any major spreadsheet software. A second tool, named Xsel, consists in an Excel spreadsheet which automatically identifies the spectrum lines associated with the elements of interest, generating a clean output sheet which can be easily imported in a general spreadsheet that calculates the concentrations; an important addition to this spreadsheet is the ability to automatically recalibrate each spectrum, increasing the reliability of the peak identification procedure. These software are already used in daily routines in IPEN's Neutron Activation Laboratory, greatly reducing the time required for sample analyses, as well as reducing the possibility of transcription errors.

Computers for data, control and simulation

1988 ◽  
Vol 46 ◽  
pp. 920-921
Author(s):  
David C. Joy
Keyword(s):  
Personal Computers ◽  
Monitoring And Control ◽  
Data Logging ◽  
Data Logger ◽  
Operational Conditions ◽  
Data Control ◽  
The Many ◽  
And Control

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.

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