Computers & Applied Sciences Complete

Computers & Applied Sciences Complete (CASC) is a comprehensive full‑text database covering research across computing, engineering, applied sciences, and emerging technologies. It provides access to scholarly articles, technical papers, and industry publications, supporting both traditional engineering research and the study of new technologies and their wider business and societal impacts. This is a particularly valuable resource for Computing students and anyone working across technology‑related disciplines.

Coverage includes

  • Computing & Computer Science (AI, programming, cybersecurity, software engineering, data science)
  • Information Technology (networking, systems administration, cloud computing)
  • Engineering Disciplines (electrical, mechanical, civil, materials, industrial engineering)
  • Traditional & Applied Engineering Challenges (design, modelling, optimisation, problem‑solving)
  • Emerging & Disruptive Technologies (machine learning, IoT, robotics, autonomous systems, VR/AR)
  • Applied Sciences & Technology Research (telecommunications, energy, physics, materials)
  • Business, Ethical & Social Implications of Technology (privacy, digital transformation, innovation impact)
GUIDANCE

Computers & Applied Sciences Complete

Computers & Applied Sciences Complete (CASC) is a comprehensive full‑text database covering research across computing, engineering, applied sciences, and emerging technologies. It provides access to scholarly articles, technical papers, and industry publications, supporting both traditional engineering research and the study of new technologies and their wider business and societal impacts. This is a particularly valuable resource for Computing students and anyone working across technology‑related disciplines.

Coverage includes

  • Computing & Computer Science (AI, programming, cybersecurity, software engineering, data science)
  • Information Technology (networking, systems administration, cloud computing)
  • Engineering Disciplines (electrical, mechanical, civil, materials, industrial engineering)
  • Traditional & Applied Engineering Challenges (design, modelling, optimisation, problem‑solving)
  • Emerging & Disruptive Technologies (machine learning, IoT, robotics, autonomous systems, VR/AR)
  • Applied Sciences & Technology Research (telecommunications, energy, physics, materials)
  • Business, Ethical & Social Implications of Technology (privacy, digital transformation, innovation impact)
GUIDANCE