Department of Mechanical & Industrial Engineering (MIE)

This course introduces quality control techniques applicable in various engineering settings. These techniques are widely used in monitoring and improving the quality of both products and services. Topics include process quality inferences, statistical process control, various control charts, system capability analysis, design of experiments, and acceptance sampling. Various simulation models will be used to represent and generate data sets in various settings, for analysis and charting with widely available software.

This MOOC ran on Coursera in October 2014. While it is not available currently, we are hoping to offer it in On Demand format as of Spring 2017.

Alternative Energy Systems is offered to graduate students completely online, minus the mid-term and final exam. The course has been offered online for over five years and undergoes a process of continuous improvement and update. The online course is administered through the University of Toronto's learning management system, Portal (Blackboard). The learning outcomes and learning objectives of the online version of this course are identical to the in-class experience.

The modules are suitable for courses in both cognitive neuroscience and cognitive psychology and they are informed by rapid advances in the understanding of brain structures and functions in recent decades. We selected ten topics that form the backbone of this type of course and that have the strongest connection to brain mechanisms as they are currently understood.