Computer Science

This course provides an overview of mobile, ubiquitous, and wearable computing interfaces; including commercial devices such as mobile phones, smart watches, augmented reality glasses, smart speakers, and other home devices; as well as research interfaces such as public displays, smart jewelry, or body-based user interfaces. The course sheds light on two fundamental aspects of mobile computing: the technological foundations of mobile computing interfaces and the user interface requirements for such novel computing interfaces. It contains advanced material on both technological foundations and interaction styles on mobile interfaces.

The course conveys an understanding of the internal structure and implementation of digital computers. To impart this knowledge, we first explain how the interface between hardware and software is typically constructed. In addition to explaining the interface between hardware and software, this course introduces the ideas behind the hardware implementation of a processor. This course includes a brief introduction to the C programming language, which is widely used as a systems programming language.

This course explores a range of key concepts and topics in Data Science, accompanied by practical implementations using Python. This ranges from the initial stages of data collection and preparation through to data analysis and modelling. Students become familiar with widely-used Python packages for data analysis, including Pandas, Matplotlib, and scikit-learn. 

This course sets the basics for an understanding of multimodal communication between humans and multimodal interaction between humans and machines. The course begins with clarifying the basic principles of human-human communication and human-machine interaction. The course then describes the processes taking place in humans when perceiving auditory, visual, and tactile signals, as well as how these perceptions are integrated in order to form a multimodal perception. The signals can be generated and received by machines which are able to interact with humans in limited domains. The set-up of such machines is discussed, and limitations as well as potential solutions to overcome these limitations is explained.

In this internship, students work closely with their host organization for up to 12 hours per week over the course of a semester. Final assessment is comprised of a mentor evaluation, a self-evaluation/reflection, and an organizational report.