As data gets big and complex, there is a need for multi scale approaches in transforming data to knowledge. This transformation takes place by joining disciplines to model, analyse, learn and extract knowledge in diverse domains from biomedicine to environment, engineering, business, software, and banking. Data Science Lab (DSL) is engaged in research and training programs. Research in DSL involves design of intelligent algorithms and development of decision making models to form risk management systems, personalized diagnosis and patient treatment systems, and process modeling systems. Training programs include degree programs and short courses in business intelligence, and smart analytics.
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Data Science Laboratory welcomes students from a broad range of disciplines who are fascinated with the possibilities of turning big and complex data to knowledge. Information for the prospective graduate students can be found in the Mechanical and Industrial Engineering Graduate Program admission or Computer Science Graduate Program admission page. For more information about other training programs contact Professor Ayse Bener.
Dione is a web based software analytics tool that has been developed by the members and alumni of DSL (formerly Softlab) since 1997. The earlier version of the tool is called Prest which is an open access tool. Dione provides a complete set of tools to address a wide range of problems in software development. It includes modules for metric collection, analysis, and prediction models to suport critical decisioins in software project management: cost estimation of projects, the quality of code, release management, and resource allocation. Dione offers state of the art research and tecniques to help decision making under uncertainty. For more information please contact us.