Computing Facilities

We have four well-equipped, student computing laboratories in the department. The computer labs are also accessible remotely. Access to online learning platforms includes Github classroom, Codio and Repl.it.

A wide variety of applications and development software runs on a range of platforms including Solaris (Unix), Windows and Linux.

• Languages: Python, Java, C++, C#, C, Groovy, Haskell
• IDEs: Eclipse, Scala, IntelliJ IDEA, JetBrains (RubyMine, CLion, PyCharm), Erlang, Glider, BlueJ, Android SDK, Anaconda
• Software development: Git, Github desktop
• Modelling environments: Matlab & All Matlab Toolboxes, StarLogo, Protege
• Databases: Oracle, MySQL, SQLserver, DB2, Postgres, MongoDB, Hadoop
• Data Science: R, RStudio, Neo4j
• HTC/HPC: jupyterhub, tensorflow, torch, kubernetes
• Website development: PHP, Perl, Tomcat, Javascript (Node.js),
• XML development: XMLSpy, xt, xmlgrep, NotePad++ with XMLTools addin.
• X/Unix: X2Go, Cygwin, Putty
• Office: Microsoft Office365, Open Office, Visio, LaTeX (MikTeX)
• Virtual learning environment and teaching tools: Moodle, Panopto, Collaborate, MS Teams
• Browsers: Firefox, IE, Chrome
• Email: Thunderbird, webmail
• Accessibility software: ClaroRead
• Utility: Filezilla, MagicDisc, TextPad, GIMP, Trend Apex anti-virus, Audacity, NotePad++

The 1/10/25-gigabit LAN is connected to the JANET University Network via the UCISA London Group. Departmental computer services and networks are managed and supported by the department's Systems Group.

Computing resources

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