265-0102-00L  Data Modeling and Computer Vision

SemesterAutumn Semester 2022
LecturersE. Konukoglu, C. Zhang
Periodicityyearly recurring course
Language of instructionEnglish
CommentOnly for CAS in Applied Information Technology and MAS in Applied Technology.


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.