This course, titled "Theories and Phenomena of HCI," is designed to provide students with a robust understanding of human-computer interaction, a dynamic and increasingly vital field that bridges the gap between human users and technology. The course will delve into the theoretical frameworks that underpin HCI, exploring the cognitive, psychological, and social aspects that influence how users interact with and behave within computer-mediated environments.

A key focus of the course will be on teaching students the ability to quantitatively analyze user data, employing statistical methods and computational models to derive insights into user behavior and experience. This skill set is essential for designing effective and intuitive interfaces that enhance user satisfaction and productivity.

Moreover, the course will cover the latest theories in HCI research, including cutting-edge work in computational rationality, offers significant potential for understanding and predicting user behavior, as well as for developing adaptive systems that can learn from and respond to user interactions.

Through a combination of lectures, discussions, and hands-on activities, students will acquire a solid foundation in HCI theories and will learn to apply these theories to real-world problems. The course will also expose students to current research and emerging trends in the field, preparing them for careers in user experience design, human factors engineering, and related areas.

By the end of the course, students will be able to critically evaluate existing HCI theories, conduct quantitative analyses of user data, and understand the implications of theories in HCI. They will be well-prepared to contribute to the advancement of human-computer interaction and to the development of technologies that are both user-centered and technologically sophisticated.