Collaboration and Decision Technologies

This website serves the needs for the course:

Collaboration and Decision Technologies

The course outline is available HERE.

Course description

This course provides an overview of the development and usage of decision support systems (DSS), data mining and collaboration technologies. Students will learn how database technologies support managerial decision making, and will understand the role of the data warehouse in supporting DSS and data mining applications. Antirequisite MT8301.


With Big Data and Analytics becoming mainstream in public and private sectors, decision support systems have become even more important elements in effective decision-making. Managers increasingly rely on data and synthesized information to make decisions. This course exposes graduate students to the fundamentals of decision support systems. This course will focus on data mining techniques used in managerial decision-making. The course will use state-of-the-art computing software, R, and data-mining extensions written for R, such as R Commander and rattle. R and its extensions, despite being the state-of-the-art, are freeware and hence allow students to learn the most advanced analytic methods and to graduate with skills they can readily apply in their new roles as analysts and managers.

The specific objectives of this course as follows:

1.      Introduce students to decision support systems
2.      Introduce students to data mining techniques
3.      Expose students to advanced data mining methods in a hands-on environment, such as regression and classification methods
4.      Review applications of data mining methods in businesses

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