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Information Resources Plan: School of Information Technology & Systems

Collection Profile

The Library collaborates with academic staff to collect resources in the following subject areas to support teaching in the School of Information Technology & Systems:

  • Software engineering
  • Software development
  • Computer security
  • Computer programming
  • Computer software
  • Engineering mathematics
  • Web and database design
  • Information systems
  • Network communication/engineering
  • Speech recognition & processing
  • Artificial intelligence
  • Visual computing
  • Games programming
  • Digital signal processing
  • Wireless & microwave communication
  • Business informatics
  • Human-computer interaction
  • Network analysis, architecture and design
  • Project, risk & quality management
  • Applied maths & statistics (particularly business, health & IT)
  • Discrete mathematics
  • Mathematical modelling
  • Coding theory
  • Forensic statistic
  • Linear modellin
  • Multivariate statistic
  • Computational algebra
  • Applied algebra

The Library collections also aim to support School staff undertaking research.