Otmar Hilliges: Catalogue data in Autumn Semester 2019

Name Prof. Dr. Otmar Hilliges
Name variantsOtmar Hilliges
FieldComputer Science
Address
Professur für Informatik
ETH Zürich, STD H 24
Stampfenbachstrasse 48
8092 Zürich
SWITZERLAND
Telephone+41 44 632 39 56
E-mailotmar.hilliges@inf.ethz.ch
URLhttp://people.inf.ethz.ch/otmarh
DepartmentComputer Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
252-3110-00LHuman Computer Interaction Information Restricted registration - show details
Number of participants limited to 150.
6 credits2V + 1U + 2AO. Hilliges, C. Holz
AbstractThe course 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.
ObjectiveThe goal of the course is that students should understand the principles of user-centred design and be able to apply these in practice.
ContentThe course will introduce students to various methods of analysing 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 analysing results. The course will also cover the basic principles of interaction design. Practical exercises related to touch and gesture-based interaction will be used to reinforce the concepts introduced in the lecture. To get students to further think beyond traditional system design, we will discuss issues related to ambient information and awareness.
265-0102-00LHumans & Machines Restricted registration - show details
Only for CAS in Applied Information Technology and MAS in Applied Technology.
3 credits2GE. Konukoglu, O. Hilliges, C. Holz
AbstractThis module offers practical knowledge in visual information processing and human computer interactions.
ObjectiveParticipants understand basic concepts of visual regonition and human-computer interaction systems.
ContentThe 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.