The Engineering collection builds upon a strong foundation in mathematics and science; it includes primarily electronic resources to support the teaching and research at Faculty of Engineering in biomedical engineering, computer science and engineering, electronic engineering, information engineering, mechanical and automation engineering as well as System engineering and engineering management. Core resources include ACM Digital Library, IEEE Xplore, INSPEC , and latest ebooks on Engineering and Science by major academic and scientific publishers. Information Sciences is one of the University five focused areas of research, the collection supports Big Data Analytics along with new focused areas: biomedical engineering, cybersecurity, energy engineering and material Science, Design and Advanced Manufacturing, Financial and service engineering and.
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- Faculty Liaison Librarian
Location of Engineering Collection
