School of Computer Science and Mathematics facilities
Currently, there are seven computer laboratories within the School comprising around 200 desktop PCs. Every PC has the current hardware and software needed for all modules on the degree programme and provide both Microsoft Windows and the Linux operating system. The School buildings are accessible 24 hours a day, every day *.
We have our own Computing Support team that set up and administer all the School facilities, as well as provide support for research projects and for resolving any IT problems.
All of our teaching materials (lecture slides, lab-sheets, tutorial sheets) are published on the University’s Virtual Learning Environment as the course progresses.
Facilities also include our own Makerspace with Raspberry PIs, Arduinos and dedicated PCs. We provide various web servers and a cloud computing facility for student use. We also host a CUDA GPU supercomputer Cluster for use across campus.
* with prior arrangement and collection of a key fob to gain access to the building.
24 hours access for SCM students
Lab locations
- Reeves (CR10) - 70 PCs
- Babbage (CR12) - 28 PCs
- Knuth (CR113) - 20 PCs
- Projects (CR7) – 10 PCs
- Computer Science Study – 7 PCs and 1 Apple iMac
- Maths Study – 14 PCs
iMac spec
- 27 inch screen
- i5 processor
- 8GB RAM
- 512 GB hard drive
- Radeon Pro 575X 4 GB Graphics
PC specification for Computing / Maths study labs
- Windows 11
- Lenovo ThinkCentre M90a Gen 5 Desktop
- i5-14500 processor
- 32GB RAM
- 512GB SSD
- Intel® UHD Graphics 770
PC specification for the Knuth lab
- Windows 11
- Lenovo ThinkCentre M90a Gen 5 Desktop
- i5-14500 processor
- 32GB RAM
- 512GB SSD
- NVIDIA GeForce MX570A 4GB
PC specification for Babbage lab
- Windows 10 / Ubuntu Linux
- Lenovo ThinkCentre with 24" screens
- i7-8700T 2.40GHz processor
- 16GB RAM
- 512GB NVMe SSD
- NVIDIA Quadro P1000 graphics card
PC specification for Reeves lab
- Windows 11
- Lenovo ThinkCentre M90t Gen 5 with 24" screens
- 13th Generation Intel® Core™ i7-13700 vPro® processor
- 32GB RAM
- 1TB NVMe SSD
- NVIDIA® GeForce RTX™ 4060 8GB graphics card
Connectivity
- USB 3.0
- USB C
- DVDRW
- 24 PCs
- 24 hours access for Esports society
- Normal University working hours for SCM students
Spec
- I5 8600K CPU processor
- Nvidia GTX 1070 GPU graphics card
- 16GB 2400MHZ RAM
- Asus Rog peripherals including headsets
- Asus Rog 144hz 24 inch monitors
- SSD
HTC Vive Pro (Wireless Wigig adaptor for free roam) x 2 controllers
PC Spec
- I7-8700k CPU (water cooled) processor
- 16GB 3200MHZ RAM
- Nvidia GTX 1080TI
- SSD
- 27 inch monitor
- 13 PCs
- Various hardware e.g. Rasberry Pi/Arduino/EMG Spiker Boxes/Quadcopters, including 2 x 3D printers: Ultimaker 2 (filament) and Formlabs Form 1+ (resin)
- 3D scanner
The Overclockers UK Gaming Lab
The computing suite, named after its sponsor Overclockers UK which provided 24 high-spec gaming PCs, is used by students during their lectures, and available exclusively to Keele Esports Society members in the evenings as a training facility.
The Overclockers UK Gaming Lab, based in the Colin Reeves building, was launched at a gaming event that saw the suite filled with gamers and was also streamed online. Keele Esports Society is open to students who are interested in all aspects of competitive gaming, on both the professional scene and the amateur level.
Professor Peter Andras, Head of the School of Computer Science and Mathematics, said: “We are very pleased to have opened the Overclockers Gaming Lab within the School. This is an excellent opportunity to provide students with a great gaming environment and at the same to have a high spec computer lab for teaching and research purposes as well.
School address
School of Computer Science and Mathematics
Keele University
Staffordshire
ST5 5AA
Email: scm.admin@keele.ac.uk
Tel:+44 (0) 1782 731830
Programme directors
Maths (UG)
Dr Danila Prikazchikov
+44 (0)1782 733414
d.prikazchikov@keele.ac.uk
Data Science (UG)
Dr Peter Wootton
+44 (0)1782 733438
p.t.wootton@keele.ac.uk
Data Scientist Apprenticeship
Dr Shailesh Naire
+44 (0)1782 733268
s.naire@keele.ac.uk
Computer Science (UG)
Dr Amro Al-Said Ahmad
a.m.al-said.ahmad@keele.ac.uk
PG Computer Science (Online)
Dr Amirreza Khodadadian
scm.online-
Computer Science (PG)
Professor Ed de Quincey
+44 (0)1782 734090
e.de.quincey@keele.ac.uk