University of Regina Department of Computer Science

The University of Regina Department of Computer Science is the school of Computer Science in the University of Regina’s Faculty of Science. The department is located in the University of Regina’s College West building. It encompasses approximately 18 faculty members, 86 graduate students and over 170 undergraduate students. It is the longest continuously accredited department by the Canadian Information Processing Society. The field of Informatics has been identified as one of the University of Regina’s six key development areas.
History
The University of Regina has offered a formal undergraduate degree in Computer Science since 1971. The undergraduate honours degree has been accredited by CIPSAC since 1983. It gained a Master of Science in Computer Science program in 1981, and a Ph.D. in Computer Science program in 1992.
Affiliations
The Department of Computer Science is affiliated with several professional organizations and accrediting bodies.
CACS/AIC: the Department is a member of the Canadian Association of Computer Science / Association d'Informatique Canadienne. CACS/AIC is an organization representing Canadian Departments of Computer Science. The CACS/AIC is involved with public education about the field of Computer Science.
CIPS/CSAC: The Canadian Information Processing Society and its Computer Science Accreditation Council are major accrediting bodies. The Department of Computer Science is associated with these organizations which are the accrediting bodies for its degree programs.
CSTA: The Department of Computer Science is affiliated with The Computer Science Teachers Association. The CSTA is involved with promoting and facilitating the teaching and learning of Computer Science at all levels. It provides resources for elementary school, high school, university and industry.
MSI: Mentor Systems Inc. is a non-profit organization which organizes computer camps for children.
TRLabs: Some faculty members at the Department of Computer Science are affiliated with TRLabs, a national research and development consortium.
Web Intelligence Consortium: Some faculty members at the Department of Computer Science are affiliated with the Web Intelligence Consortium, an international non-profit organization dedicated to the study of the field of Web Intelligence.
Degree Programs
The Department of Computer Science offers several undergraduate and graduate degrees, certificates and diplomas. It also offers B.Sc. and M.Sc. degrees with a cooperative education component which allows students to alternate coursework with a salaried position in the field.
Undergraduate
* B.Sc. Major in Computer Science
* B.Sc. Honours in Computer Science
* B.Sc. Combined Major in Computer Science and Mathematics
* B.Sc. Honours Combined Major in Computer Science and Mathematics
* B.Sc. in Software System Development
* Post-Diploma B.Sc. in Computer Science
* Minor in Computer Science
* Certificate in Computer Science
Graduate
* M.Sc. Computer Science
* Ph.D. Computer Science
Department Research
The Department of Computer Science’s major research areas include Artificial Intelligence and Data Mining, Computers in Education, Databases and Web Intelligence, Human-Computer Interfaces, Computer Media (Animation, Audio, Games, Graphics, Image Analysis and Visualization), Software Engineering, theoretical Computer Science, distributed computing and rough set theory.
The Department’s faculty includes many researchers who are recognized authorities in their fields. According to Web of Science, the most cited journal articles and conference proceedings by Computer Science researchers at the University of Regina are:
* Yao, Y. Y. (2001). Information granulation and rough set approximation. International Journal of Intelligent Systems, 16(1), 87-104. doi: 10.1002/1098-111x(200101)16:1<87::aid-int7> 3.0.co ;2-s
* Zhong, N., Yao, Y. Y., & Ohshima, M. (2003). Peculiarity oriented multidatabase mining. Ieee Transactions on Knowledge and Data Engineering, 15(4), 952-960.
* Hu, X. H., & Cercone, N. (1995). Learning in relational databases: a rough set approach. Computational Intelligence, 11(2), 323-338. doi: 10.1111 /j.1467-8640.1995.tb 00035.x
* Slezak, D., & Ziarko, W. (2005). The investigation of the Bayesian rough set model. International Journal of Approximate Reasoning, 40(1-2), 81-91. doi: 10.1016 /j.ij ar.2004.11.004
* Yao, Y. Y. (2003). Probabilistic approaches to rough sets. Expert Systems, 20(5), 287-297. doi: 10.1111/1468-0394.00253
Research Labs and Groups
aRMADILo Lab
The aRMADILo Laboratory is focused on applications of sound, music and speech recognition in Computer Science. Its Rainboard project has competed internationally in musical instrument competitions.
Computational Learning Theory Lab
The Computational Learning Theory Lab does research in the field of Computational Learning Theory.
Computer Graphics Laboratory
The Computer Graphics Laboratory is involved in research in Computer Graphics and Image Processing.
Data Mining Group
The Data Mining Group studies the theory and application of knowledge discovery and data mining. The lab researches and produces software systems which involve data mining techniques.
Regina Integrative Cognitive Experimentation (RICE) Lab
The RICE lab is an interdisciplinary facility at the intersection of Computer Science and Experimental Psychology. The lab uses cutting edge testing equipment to study cognitive and perceptual processes related to computer systems.
Rough Set Technology Lab
The Rough Set Technology Lab does research related to the mathematical field of rough set theory.
Laboratory for Computational Discovery
The Laboratory for Computational Discovery applies high-performance computing tools to problems in a wide range of scientific fields. See also: Supercomputing.
Web Intelligence Consortium (WIC)
The Web Intelligence Consortium was created to research the burgeoning field of Web Intelligence.
Participant Pool
The Department of Computer Science at the University of Regina maintains a Participant Pool for use in department research. The participants are typically department undergraduate students with an interest in research. All research endeavors which use participants from the Participant Pool must have approval from the University’s Research Ethics Board.
Supercomputing
The Department of Computer Science leverages high-performance computing facilities to aid in research across many departments in the Faculty of Science through the Laboratory for Computational Discovery. Past applications of the Laboratory’s supercomputing facilities include:
* Computational Chemistry: Petroleum cracking simulation.
* Mathematics: The search for mathematically interesting prime numbers and Fermat numbers.
* Data Mining: Research in graphical models, web usage data.
* Computer Graphics: modeling the motion of hair.
The Laboratory for Computational Discovery is equipped with three supercomputing units:
* Entropy (2010): 72 CPU cores, 114GB RAM.
* Dextrose (2010): 420 CPU cores, 840GB RAM.
* Cadmium (2003/2006): 54 CPU cores, 64GB RAM.

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