English

This course draws upon research linked to youth studies, sociology, criminology, psychology, and social policy. The course provides students with an in-depth, research-based understanding of youth, adolescence, and emerging adulthood. The course focuses on key theoretical approaches to understanding youth in society and considers a range of substantive issues and areas within contemporary research on both "mainstream" and "marginalized" youth, but with a strong emphasis on youth "at risk," including homeless youth, young people with care experience, and young people who use drugs. Varying approaches to the study of youth are reviewed and students explore how social and economic forces influence the lives and experiences of young people generally and marginalized youth in particular.

This course introduces motivational causes of behavior and the emotions experienced as a basis for understanding human behavior. Emphasis is placed on the theories, sources and types of motivation and emotion.

Linear models are widely used in almost every field of business, economics, science, and industry where quantitative data are collected. This course focuses on linear models and concentrates on modeling the relationship between a continuous response variable and one or more continuous explanatory variables. The course is concerned with both the theory and applications of linear models, and covers problems of estimation, inference, and interpretation. Graphical methods for model checking are discussed and various model selection techniques are introduced.

This intensive practical course revolves around technical problem solving, engineering and programming using Lego Mindstorms sets. Students design, build, and program autonomous robotic systems to perform tasks such as measuring the gravitational constant or constructing a time piece. Students encounter and acquire an understanding of all aspects of such an architectural challenge, including research, design, hardware construction and software implementation. After some carefully selected introductory problems, teams of two students move on to design and build their own constructions. In order to facilitate creative thinking and free exploration, teams choose their projects freely, without constraints, under advisement. Teams work continuously throughout the duration of the course, with scheduling and planning at their own discretion, while receiving guidance and help from the instructors during the timetabled sessions. The course culminates in a series of presentations, where teams have a chance to demonstrate the fruits of their newly acquired skills and share their experiences.

This class focuses on stem cell biology and stem cell therapy. In the stem cell biology part of the course, the following topics are covered: stem cell and regenerative medicine, adult stem cell, embryonic stem cell, induced pluripotent stem cell, stem cell niche, technique of purification and characterization (FACS). In the stem cell therapy part of the course, the following topics are covered: the basics of stem cell transplantation, hematopoietic stem cell transplantation (HSCT), cancer stem cell and targeted therapy, skin stem cell and their clinical application, stem cell and cardiac repair.

This course provides training in the use of statistical methods for the analysis of complex behavioral and physiological signals. Students develop a theoretical understanding of emotion, including its subjective, physiological, and behavioral aspects. Students learn skills in processing and analysing subjective, physiological, and behavioral data, and develop methods for the analysis of voice and motion-capture data. Students produce and share written tutorials in statistical methods, conducting research that is rigorous, clearly documented, and transparent.

This course examines the relationship between brain mechanisms and behavior. The course develops an appreciation of the neurobiological basis of psychological function and dysfunction via two approaches. The first emphasizes a top-down method that links psychological functions to their biological substrates. Neuroscientific research techniques and what they can reveal about psychological function are emphasized. These techniques are presented within an historical context, beginning with electroencephalography (EEG) and finishing with functional magnetic resonance imaging (fMRI). The second approach emphasizes a bottom-up approach including the topics of brain development, neurons and neural circuits, neurotransmission and neurotransmitter substances, and the structurofunctional properties of selected brain regions. Neurobiological principles are illustrated using conditions with abnormal neuronal function. A quantitative methods component is integrated into the lecture, tutorial and assessment structure of this course. It provides an understanding of, and practical experience with, the appropriate experimental design and statistical analysis techniques used to evaluate hypotheses in Biological Psychology.