This course will provide students with a rich development experience, focused on the design and implementation of user interfaces and mobile applications. A brief overview of human computer interaction will provide context for designing, prototyping and evaluating user interfaces. Students will invent their own mobile applications and implement them using the Android SDK, which is JAVA based. An overview of the Android platform and available technologies will be provided, as well as XML for layouts, and general concepts for effective mobile development. Students will be expected to explore and experiment with outside resources in order to learn technical details independently. There will also be an emphasis on building teamwork skills, and on using modern development techniques and tools.

In Multidisciplinary Design, teams of students with disparate engineering backgrounds will come together to tackle design challenges for a project partner. While practicing a user-centered design thinking process, teams will understand the essential need behind a problem, prototype solutions, test their prototypes, and present a final solution to their project partner. Students will also learn to collaborate among different working styles, and they will introduce their peers to new skill sets from their engineering discipline.

This course introduces computer graphics techniques and applications, including image processing, rendering, modeling and animation.

This course is designed to introduce undergraduate and graduate students to design techniques and practices in human-computer interaction (HCI), the study of interactions between humans and computing systems. Students will learn design techniques and evaluation methods, as well as current practices and exploratory approaches, in HCI through lectures, readings, and assignments. Students will practice various design techniques and evaluation methods through hands-on projects focusing on different computing technologies and application domains. This course is intended for undergraduate and graduate students in Computer Science/Cognitive Science/Psychology. Interested students from different disciplines should contact the instructor before enrolling in this course

The field of artificial intelligence (AI) has recently seen a substantial increase in popularity, largely fueled by the successes of training deep neural networks that achieve state-of-the-art performance in a large variety of problems. These successes are not limited to academic benchmarks but have started to impact our everyday lives in the form of products such as Google Lens, Amazon Alexa, and Tesla Autopilot. In order for such AI systems to succeed we must consider its impact on everyday life, its overall capabilities and performance, and the effectiveness of the human-AI interaction. The importance of harmonic interplay between all these components is dramatically highlighted by recent catastrophic events in road transport and aviation. In this project-based course you will work in teams of 3-5 students to 1) Identify a need with high-impact implications on everyday life; 2) Conceptualize and design an AI system targeting this need, and 3) Develop the AI system by refining a demo-able prototype based on feedback received during course presentations.

This course is designed to introduce advanced students to research methods and topics in human-robot interaction (HRI), an emerging research area focusing on the design and evaluation of interactions between humans and robotic technologies. Students will (1) learn design principles for building and research methods of evaluating interactive robot systems through lectures, readings, and assignments, (2) read and discuss relevant literature to gain sufficient knowledge of various research topics in HRI, and (3) work on a substantial project that integrates the principles, methods, and knowledge learned in this course.