Found 7 relevant results in 2.43s where lecturer="April Wang"
In the recent years, there have been major technological advances in commercial virtual and augmented reality systems. Those advancements lead to many open challenges in terms of perception and interaction as well as technical challenges. In this course, students present and discuss papers from relevant top-tier research venues to extract techniques and insights from MR research.
Educational technology is reshaping how knowledge is shared, making it more accessible and meaningful for learners across diverse contexts. Designing effective educational tools requires an understanding of both how learning happens and how technology can best support it.
This course introduces core principles for designing, analyzing, and critically evaluating empirical studies in computer science. It focuses on how to formulate research questions, select appropriate study designs (experiments, quasi-experiments, and observational studies), and apply statistical and qualitative methods to generate valid and interpretable results.
This course (e-learning module and face-to-face sessions) equips doctoral students with knowledge and tools to recognize, discuss and address ethical issues of their research.
This course module explores how Virtual Reality (VR) can create value in business and management in an interdisciplinary, cross-university setting (ETH + TUM). Students will learn core concepts of VR, analyse real industry use cases, and develop a VR prototype application in interdisciplinary teams as their group project. The interdisciplinary teams consist of management and technical students.
The course provides an introduction to the field of human-computer interaction and focuses on role of the user in system design. Methods used to analyze the user experience will be introduced to show how they inform the design of new interfaces, systems, and technologies. Emerging methods and tools in computational interaction and optimization for UI design will also be introduced.
This course introduces students to research topics around the principles and practices of designing user-centered programming interfaces. We will explore and discuss research topics on understanding programmers from specialized domains, interactive programming paradigms, collaborative interfaces, learning-oriented interfaces, and AI's impact on future programming interfaces.