Teaching / Courses
Last updated November 2022
Methods Engineering (second year required course)
The course provides an introduction to the methods, used to measure, analyze, design and operate work systems. It introduces the engineering problem solving process, aimed to solve problems by collecting data, evaluating alternatives, and implementing changes in the structure of tasks and their performance. The course deals with the need to consider problems from a systems-perspective, combining the consideration of the technology, the humans involved in the process, and the environment.
Interaction with Automation (graduate level course)
The course deals the specification, design and operation of intelligent systems with advanced automation, focusing on the role of human operators or users in such systems. The course presents current research on the topic and provides knowledge and skills for the analysis and empirical study of human-system integration in systems with high levels of automation.
Quantitative Models of Human Performance (open for graduate students and advanced years graduate students)
The development of advanced technological systems and the introduction of changes to such systems require the prediction of how the system will function in different conditions. These predictions are based on models of the technological system, the environment in which it functions and the behavior of the humans who operate the system or are served by it. The course introduces basic principles of human performance modeling, techniques for developing models, and methods for evaluating and validating models. Students apply the knowledge they gain in the course to the modeling of specific behaviors and actions with technological systems.