Christian Holz: Katalogdaten im Herbstsemester 2019 |
Name | Herr Prof. Dr. Christian Holz |
Lehrgebiet | Informatik |
Adresse | Intelligente interaktive Systeme ETH Zürich, STD G 29.2 Stampfenbachstrasse 48 8092 Zürich SWITZERLAND |
Telefon | +41 44 632 84 39 |
christian.holz@inf.ethz.ch | |
URL | https://siplab.org |
Departement | Informatik |
Beziehung | Assistenzprofessor (Tenure Track) |
Nummer | Titel | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|
252-3110-00L | Human Computer Interaction Number of participants limited to 150. | 6 KP | 2V + 1U + 2A | O. Hilliges, C. Holz | |
Kurzbeschreibung | The 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. | ||||
Lernziel | The goal of the course is that students should understand the principles of user-centred design and be able to apply these in practice. | ||||
Inhalt | The 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. | ||||
265-0102-00L | Humans & Machines Only for CAS in Applied Information Technology and MAS in Applied Technology. | 3 KP | 2G | E. Konukoglu, O. Hilliges, C. Holz | |
Kurzbeschreibung | This module offers practical knowledge in visual information processing and human computer interactions. | ||||
Lernziel | Participants understand basic concepts of visual regonition and human-computer interaction systems. | ||||
Inhalt | The 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. |