Aims to be a research seminar on new methods, techniques and applications in Visual Analytics (VA), for exposure to diversity of VA research work and method, for fostering understanding of VA disciplinary commonalities and differences. Graded on a satisfactory/unsatisfactory basis. Prerequisite: Registered graduate students from the School of Interactive Arts and Technology, or with permission of the instructor.

Design principles for multimedia learning are derived from the theories and research of cognitive science. Topics include: tutorial interactions, history of adaptive learning systems, adapting to individual differences, dialogues with teachers (and other agents), problem solving and cognitive load, learning from multimedia, cognitive principles for document design, tools for self-regulated learning, intrinsic and situational motivation, simulations and self-regulated inquiry, inquiry with microworlds and cognitive tools, multimedia scenarios for anchored instruction.

An introduction to the theories and practices of managing information technology. Uses case studies to analyze complex situations and develop skills necessary to select, deploy and use information systems. Students with credit for BUS 554 or BUS 621 or BUS 739 or BUS 756 may not take this course for further credit.

Advanced topics in data visualization. Topics covered may include principles of data representation, data presentation, data interaction, data physicalization, data and visualization literacy, data visualization and diversity, open data, and public personal data visualization. Students with credit for CMPT 878 or 775 may not take this course for further credit.

The concepts, theories and technology behind 3D representation and 3D geovisualization of complex spatial phenomena using emerging interactive, immersive and ubiquitous interface technologies. Combines geovisualization, geospatial interface research, geovirtual environments, GIScience, and spatial knowledge acquisition perspectives. Prerequisite: Enrolment in any graduate program plus permission of the instructor. Graduate students from other disciplines are welcome to take this course.

Provides a cognitive and computational framework for understanding and designing graphical and visual representations. Investigates several psychological and computational models of diagram processing, and explores diverse interactive graphical systems.

A seminar format will be used to discuss the concepts and frameworks essential to the effective management of information technology. Our focus will be on the strategic role that information systems play in organizations, their structure and components, and various perspectives on how to plan and manage this technology. Students with credit for BUS 554 or BUS 709 or BUS 739 or BUS 756 may not take this course for further credit.

A study of the social theory of information technologies, examining issues affecting computer-mediated communication.

Examines the social environment of offenders through a criminal network perspective. Emphasizes how analyzing delinquency through the lens of networks can make theoretical and empirical contributions to the field.

Introduces the core values of interdisciplinary scholarship through engagement with history, theory and practice in the study of science, technology, society and culture. This course will be a reading-intensive, extended seminar style investigation of theoretical and historical references in science and technology studies and broader societal implications of technologies. Prerequisite: SIAT Graduate Student.

Use of quantitative methods of risk assessment and decision analysis to explicitly take uncertainty into account when making decisions in management of natural resources. Methods of quantifying uncertainty and the resulting risks. Examples from management of forests, wildlife, fisheries, water resources, energy, and toxic chemicals. Communicating information about uncertainties and the resulting risks to resource managers, the public, and scientists. Advantages and limitations of various quantitative methods. Includes computer laboratories. Prerequisite: Permission of instructor.