Journal of Al-Qadisiyah for Computer Science and Mathematics

10.29304/jqcm ◽  
2017 ◽  
Keyword(s):  
Computer Science ◽  
And Mathematics

scholarly journals Polynomials and General Degree-Based Topological Indices of Generalized Sierpinski Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chengmei Fan ◽  
M. Mobeen Munir ◽  
Zafar Hussain ◽  
Muhammad Athar ◽  
Jia-Bao Liu
Keyword(s):  
Complex Systems ◽  
Computer Science ◽  
Topological Indices ◽  
Fractal Nature ◽  
Similar Nature ◽  
Zagreb Index ◽  
Recursive Sequences ◽  
And Mathematics

Sierpinski networks are networks of fractal nature having several applications in computer science, music, chemistry, and mathematics. These networks are commonly used in chaos, fractals, recursive sequences, and complex systems. In this article, we compute various connectivity polynomials such as M -polynomial, Zagreb polynomials, and forgotten polynomial of generalized Sierpinski networks S k n and recover some well-known degree-based topological indices from these. We also compute the most general Zagreb index known as α , β -Zagreb index and several other general indices of similar nature for this network. Our results are the natural generalizations of already available results for particular classes of such type of networks.

scholarly journals Adaptation of the Core CDIO Standards 3.0 to STEM Higher Education

2021 ◽  
Vol 30 (2) ◽  
pp. 9-21
Author(s):  
A. I. Chuchalin
Keyword(s):  
Applied Sciences ◽  
Higher Education ◽  
Engineering Education ◽  
Computer Science ◽  
High Tech ◽  
The Core ◽  
Science Technology ◽  
Postgraduate Studies ◽  
Systematic Training ◽  
And Mathematics

It is proposed to adapt the new version of the internationally recognized standards for engineering education the Core CDIO Standards 3.0 to the programs of basic higher education in the field of technology, natural and applied sciences, as well as mathematics and computer science in the context of the evolution of STEM. The adaptation of the CDIO standards to STEM higher education creates incentives and contributes to the systematic training of specialists of different professions for coordinated teamwork in the development of high-tech products, as well as in the provision of comprehensive STEM services. Optional CDIO Standards are analyzed, which can be used selectively in STEM higher education. Adaptation of the CDIO-FCDI-FFCD triad to undergraduate, graduate and postgraduate studies in the field of science, technology, engineering and mathematics is considered as a mean for improving the system of three-cycle STEM higher education.

Formative External Evaluation and Data Analysis Report Year Three: Building Opportunities for STEM Success

2020 ◽  
Author(s):  
Angelicque Tucker Blackmon ◽  
Keyword(s):  
Data Analysis ◽  
Computer Science ◽  
Self Efficacy ◽  
Study Skills ◽  
Mathematics Students ◽  
External Evaluation ◽  
College Chemistry ◽  
Before And After ◽  
And Mathematics

This report is an analysis of college chemistry, biology, computer science, and mathematics students' perceptions of STEM self-efficacy and study skills before and after an intervention.

Computational Thinking and Mathematics

2016 ◽  
pp. 853-865
Author(s):  
Thiago Schumacher Barcelos ◽  
Ismar Frango Silveira
Keyword(s):  
Problem Solving ◽  
Computer Science ◽  
Basic Education ◽  
National Curriculum ◽  
Computational Thinking ◽  
Thinking Skills ◽  
Educational Systems ◽  
Curriculum Guidelines ◽  
And Mathematics ◽  
The One

On the one hand, ensuring that students archive adequate levels of Mathematical knowledge by the time they finish basic education is a challenge for the educational systems in several countries. On the other hand, the pervasiveness of computer-based devices in everyday situations poses a fundamental question about Computer Science being part of those known as basic sciences. The development of Computer Science (CS) is historically related to Mathematics; however, CS is said to have singular reasoning mechanics for problem solving, whose applications go beyond the frontiers of Computing itself. These problem-solving skills have been defined as Computational Thinking skills. In this chapter, the possible relationships between Math and Computational Thinking skills are discussed in the perspective of national curriculum guidelines for Mathematics of Brazil, Chile, and United States. Three skills that can be jointly developed by both areas are identified in a literature review. Some challenges and implications for educational research and practice are also discussed.

Gender Equitable Education and Technological Innovation

2020 ◽  
Author(s):  
Jennifer Jenson ◽  
Suzanne de Castell
Keyword(s):  
Computer Science ◽  
Gender Equity ◽  
Technological Innovation ◽  
Public Discourse ◽  
Gender Diversity ◽  
Strong Support ◽  
Educational Interventions ◽  
Socioeconomic Class ◽  
And Mathematics ◽  
Considerable Work

The literature on gender equity, education, and technological innovation identifies three primary areas of concern: STEM (collective disciplines of science, technology, engineering, and mathematics), computer science, and, interestingly enough, reading comprehension. These gendered divides are often framed in public discourse as problems of equality; however, most research and scholarly discussions focus on equity, on fairness. Considerable work by feminists in the social studies of science and technology, demonstrating how innovation and technology are already gendered, has lent strong support to an educational emphasis on how “fairness” might best be achieved. It remains the case that “gender” in most research studies refers to a binarized conception of sex: either male or female, girls or boys, men or women. However, critical intersectional understandings of gender that take into account age, socioeconomic class, race, ethnicity, sexuality, and dis/abilities hold out promise for more nuanced understandings of inequities in education. For example, taking the widest perspective, it is socioeconomic class, not gender, that continues to create the greatest disparities in educational outcomes, whereas within any given socioeconomic context, gender is paramount. For girls and women, equity-focused educational interventions aim to develop better pathways to higher education and jobs in STEM subjects and fields. Female underrepresentation in STEM and computer science is often framed as a gender-specific skills deficit impeding access to and success in globally competitive, technologically innovative, and the most highly remunerated occupations, rather than as a barrier created by differences in expectations, norms, experience, and prior educational provision. Gender equity initiatives for school-aged boys are concentrated in the areas of reading and comprehension skills, with little connection made in the literature to either presumptions about or implications of this underachievement as a deficit that jeopardizes future educational or vocational skills. It may be that evolving conceptions and practices of gender that take better account of both gender diversity and intersectionality will enable educational interventions beyond these stereotypical and binarized educational analyses and initiatives, lending hope that we may yet see women and girls assuming not just an equitable but indeed a transformative role in technological innovation.

scholarly journals Computer science and mathematics for chemistry-related applications

2012 ◽  
Vol 50 (2) ◽  
pp. 379-380 ◽  
Author(s):  
Jesús Vigo-Aguiar ◽  
Ian Hamilton ◽  
Stephen K. Gray
Keyword(s):  
Computer Science ◽  
And Mathematics
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