Christian Holz: Katalogdaten im Herbstsemester 2020

NameHerr Prof. Dr. Christian Holz
Intelligente interaktive Systeme
ETH Zürich, STD G 29.2
Stampfenbachstrasse 48
8092 Zürich
Telefon+41 44 632 84 39
BeziehungAssistenzprofessor (Tenure Track)

252-3110-00LHuman Computer Interaction Information 6 KP2V + 1U + 2AO. Hilliges, C. Holz
KurzbeschreibungThe course provides an introduction to human-computer interaction, emphasizing the central role of the user in system design. Students will learn different methods for analyzing user experience and shown how these can inform the design of interfaces, systems and technologies. Furthermore, students will learn to use computational tools and models of human capabilities to create interactive systems.
LernzielThe goal of the course is that students learn how to design, prototype, build and evaluate interactive systems that gather and process information on users’ state, task and environment, and apply algorithms to adapt the interface to optimize for performance and usability.

- Students will be introduced to the factors that influence usability, user experience and perception of interactive systems, and methods to analyze and quantify those factors. This will include insights from user-centered design, design thinking and user experience design, with the goal for students to apply these in practice.

- Students will learn to quickly build prototypes with different fidelity to -evaluate and inform the design of interactive systems.

- Students will learn to use manual design to implement interactive systems informed by user models, human factors and perception.

- Students will learn to compare, choose and implement various algorithms to automatically generate and adapt user-facing interactive systems.

- Students will learn to evaluate the benefits and limitations of interactive systems qualitatively and quantitatively.
InhaltThe course will introduce students to various methods of analyzing the user experience, showing how these can be used at different stages of system development from requirements analysis through to usability testing. Students will get experience of designing and carrying out user studies as well as analyzing results. The course will also cover the basic principles of interaction design.

Furthermore, the course will cover foundational models of human capabilities, such as motor, visual and cognitive processes. Insights into those factors will be used to inform the design of interactive systems. Building on those models, students will be introduced to computational tools and algorithms that are used to analyze, create and adapt interfaces, systems and devices.

In a practical project, students will build on the lectures and design an interactive system from the ground up. This will include needfinding, ideation, prototyping and finally implementing a small interactive system based on manual design and with the aid of the learned computational tools.
265-0102-00LHumans & Machines Belegung eingeschränkt - Details anzeigen
Only for CAS in Applied Information Technology and MAS in Applied Technology.
3 KP2VE. Konukoglu, A. M. Feit, C. Holz
KurzbeschreibungThis module offers practical knowledge in visual information processing and human computer interactions.
LernzielParticipants understand basic concepts of visual regonition and human-computer interaction systems.
InhaltThe first part of the module will cover basic theoretical knowledge on visual recognition systems of the last two decades, mostly focusing on the most recent advancements in deep learning and convolutional neural networks. The theoretical knowledge will be supported with practical sessions that will allow participants to gain hands-on experience with most commonly used tools and deepen their understanding of the key concepts. The second part provides an introduction to the field of human-computer interaction, emphasising the central role of the user in system design. Through detailed case studies, students will be introduced to different methods used to analyse the user experience and shown how these can inform the design of new interfaces, systems and technologies.