The link between electronics and computer science

Year : 2025 | Volume : 15 | Issue : 03 | Page : 11 20
    By

    V. Basil Hans,

  1. Research professor, Srinivas University in Mangalore, Karnataka, India

Abstract

The merging of computer science with electronics has led to major improvements in modern technology, leading to new ideas in areas like embedded systems, the Internet of Things (IoT), artificial intelligence (AI), and robotics. There is a deep and widespread connection between computer science (CS) and electronics. They have a symbiotic relationship in which one subject depends on and improves the other. CS gives systems their intellectual frameworks, algorithms, and software. Electronics gives them the hardware and practical implementation that makes them work. The work together is clear in the creation of anything from AI systems and complicated computer networks to mobile phones. Communication technologies like telephony and networking rely heavily on both computer science and electronics. Electronics engineers make the gear that sends and receives signals, while computer scientists make the software and protocols that control the flow of data. Computer science and electronics are two fields that work together to create new technologies and solutions that keep modern society running. The mix of hardware and software is what makes this sector so interesting.

Keywords: Hardware, software, technology, logic, Moore’s Law and Computational Scaling

[This article belongs to Journal of VLSI Design Tools and Technology ]

How to cite this article:
V. Basil Hans. The link between electronics and computer science. Journal of VLSI Design Tools and Technology. 2025; 15(03):11-20.
How to cite this URL:
V. Basil Hans. The link between electronics and computer science. Journal of VLSI Design Tools and Technology. 2025; 15(03):11-20. Available from: https://journals.stmjournals.com/jovdtt/article=2025/view=234166


References

  1.  Hinze-Hoare V. A review of papers that have a bearing on an analysis of user interactions in a collaborative on-line laboratory. arXiv preprint cs/0612090. 2006 Dec 18.
  2. Akula B, Cusick J. Biological Computing Fundamentals and Futures. arXiv preprint arXiv:0911.1672. 2009 Nov 9.
  3. Ko HS, Nof SY. Editorial–Special Issue on Collaboration Support Systems (CSS). International Journal of Computers, Communications and Control. 2010 Mar 1;5(1):6.
  4. Panait A. Differences in Information and Computer Technology by Socioeconomic Status, Gender, and Age. Perspectives. 2013;5(1):5.
  5. Kalhor G, Bahrak B. Analysis of research trends in computer science: A network approach. arXiv preprint arXiv:2311.09348. 2023 Nov 15.
  6. Psycharis S. STEAM in education: A literature review on the role of computational thinking, engineering epistemology and computational science. computational steam pedagogy (CSP). Scientific Culture. 2018 Apr;4(2):51-72.
  7. Schwendimann BA, De Wever B, Hämäläinen R, Cattaneo AA. The state-of-the-art of collaborative technologies for initial vocational education: A systematic literature review. International Journal for Research in Vocational Education and Training. 2018 Apr 26;5(1):19-41.
  8. Pereira CA, Oliveira P, Reis MJ. Non-traditional processes in higher education in engineering: a conceptual mapping. Brazilian Journal of Operations & Production Management. 2018 May 10;15(1):12-20.
  9. Jordan P. Investigating the Intersection of Science Fiction, Human-Computer Interaction and Computer Science Research. arXiv preprint arXiv:1807.09490. 2018 Jul 25.
  10. Ebeid IA, Zhang Y. A systematic review of the literature in nature on human- computer interaction: preliminary results. iConference 2019 Proceedings. 2019 Mar 15.
  11. Tang KY, Hsiao CH, Chen MC. A research survey of electronic commerce innovation: Evidence from the literature. Adv. Technol. Innov. 2019;4(4):247-59.
  12. Hodges S, Sentance S, Finney J, Ball T. Physical computing: A key element of modern computer science education. Computer. 2020 Apr 9;53(4):20-30.
  13. Morrison BB, Quinn BA, Bradley S, Buffardi K, Harrington B, Hu HH, Kallia M, McNeill F, Ola O, Parker M, Rosato J. Evidence for teaching practices that broaden participation for women in computing. InProceedings of the 2021 working group reports on innovation and technology in computer science education 2021 Dec 28 (pp. 57-131).
  14. Soon Seng T, Dorasamy M, Razak R, Kaliannan M, Sambasivan M. Knowledge creation in IT projects to accelerate digital innovation: two decade systematic literature review. F1000Research. 2021 Dec 2;10:1040.
  15. Ariza JA, Baez H. Understanding the role of single‐board computers in engineering and computer science education: A systematic literature review. Computer Applications in Engineering Education. 2022 Jan;30(1):304-29.
  16. Cooper N, Horne T, Hayes GR, Heldreth C, Lahav M, Holbrook J, Wilcox L. A systematic review and thematic analysis of community-collaborative approaches to computing research. InProceedings of the 2022 CHI conference on human factors in computing systems 2022 Apr 27 (pp. 1-18).
  17. Kalhor G, Bahrak B. Analysis of research trends in computer science: A network approach. arXiv preprint arXiv:2311.09348. 2023 Nov 15.
Regular Issue Subscription Review Article
Volume 15
Issue 03
Received 09/06/2025
Accepted 28/07/2025
Published 13/12/2025
Publication Time 187 Days
207

Login


My IP

PlumX Metrics