Module: Interdisciplinary Media Project
LV-Number: 0434 L 923
Language: German/English (according to agreement with students)
Contact Person:Britta Hesse
In this module, the students develop solutions for technical or social science problems connected with digital media using the course content. Both IT skills and analytical social science skills are required to complete this module. The project includes a task from the area of conception, development, or use of a system for the design, recording, transmission, or presentation of media, which is redefined every semester. So, the chair offers usually different project topics for students who should use the above-described skills on the subject. The project work should be solved in a team with interdisciplinary skills; the group organizes itself; the lecturers guarantee regular supervision. Finally, the project results should be presented, and a project report should be delivered.
(Möller; 4/6 SWS, 6/9 LP; jeweils im SoSe/WiSe)
LV-Number: 6LP Projekt: 0434 L 918 / 9LP Projekt: 0434 L 919
Contact person:Britta Hesse
Topics related to current research focus of QU-Lab are offered to teach the necessary basics and practical applications.
(2 SWS/3 LP; SoSe/WiSe with changing topics)
LV-Number: 0434 L 905
Changing topics are offered within the Quality and Usability Seminar.
Project (Voigt-Antons; 2 SWS/3 LP) LV-Number: 0434 L 914
Based on the seminar Affective Computing and ongoing research at the Quality and Usability Lab, the participants will set up an own study project to investigate the role of affective processes in HCI or alternatively deploy psychophysiological measures for usability evaluation.
This research colloquium is a weekly event with various invited speakers. It is open to anyone who is interested in the general area of usability and human-computer interaction. Researchers in this area will present overviews of their work. Within the framework of colloquium, bachelor and master thesis can be presented once per month.
Three slots each 30 minutes are arranged for master thesis blocks. Please be aware that we have a separate table for presentations of thesis. The colloquium is organized by the Quality and Usability Lab. If you have any questions or want your email to be added to the colloquium mailing list, please contact Saman Zadtootaghaj.
Please note that research colloquium has no credit point (ECTS).
For information on past colloquium talks please visit the archive.
(Möller, 4 SWS/6 LP, each WiSe)
LV-Number: 0434 L 900
Speech signals and speech sounds; human speech production; auditory perception; speech signal transmission and coding; speech recognition and speaker recognition; speech synthesis; spoken dialogue systems; multimodal dialogue systems.
Speech is the most important means of human communication, and more and more it develops into an important modality for human-computer interaction. Already systems work by speech recognition, interpretation of linguistic content, control of dialoge flow, generation of responses or production of speech signals. Beyond that, the efficient transmission of speech is of utmost importance, both in conventional transmission networks as well as in networks with paket switching (eg. Voice over IP).
In the course of this lecture the basis for unterstanding and designing communication technology systems based on speech will be provided. Starting with the production and perception of natural human speech will shed light on many important characteristics of speech signals and requirements for their processing. Essential means for representing speech signals in the time and frequency domains will be laid out. On this basis, the functioning of important components of systems of speech technology will be explicated. Apart from efficient coding of speech, speech recognition, speech synthesis, as well as interaction withspeech processing systems (spoken dialogue systems, alternative term: voice user interfaces) will be central. Finally, improvement strategies for the smoother adaption of such systems to human communicative needs via multimodal means of input and output will be presented (multimodal dialogue systems).
The lecture has been developed with a focus on students of electrical engineering, computer engineering, as well as computer science. Above these, students from linguistics, communication sciences, engineering acoustics, sociology, human factors, as well as other departments are very welcome. Previous knowledge in speech signal processing or linguistics is not required.
(Möller; 4 SWS/6 LP)
LV-Number: 0434 L 920
Basic concepts; Media; Modalities; Codes; Audio; spoken / written language; Pictures; Video; Graphic; Haptics; Multimedia and multimodality; Design processes; Standards.
The students will get:
The exercise is programmed with Python. All the necessary knowledge is presented in the first two exercises; Previous knowledge makes the exercise easier, but is not a prerequisite.
(Ketabdar; 2 SWS/3 LP; each WiSe)
LV-Nummer: 0434 L 903
Overview speech processing with statistical models, extraction of metadata, audio-visual speech recognition, multi-lingual speech recognition, language translation, multimodal interfaces, multimodal fusion and fission, information retrieval, beamforming and microphone arrays.
(Möller, Hillmann, Kojic; 6 CPs; MOOC)
VL-Number: 0434 L 904
Communication acoustics consists of all areas of acoustic that deal with the communication between systems, humans or communication between a systems and humans. These are for example: auditory and speech acoustics, electroacoustics, audio technology, the simulation of acoustic environments, as well as all signal processing approaches that are used within these areas. Depending on the focus area of communication acoustics the lectures are part of different faculties, e.g., electrical engineering, physics and computer sience. The MOOC brings together leading scientists in the area of acoustics to create an overview on this versatile topic.
2. Registration and participation
Please enrol to the related ISIS course to get further information about the course organization and how to enrol to the related MOOCs on edX.org. Also, the ISIS course will be used as communication platform during the semester, because there are no classic lecture or exercise (meaning no mandatory attendance time).
Hint: Please write a mail with the subject Key Request to email@example.com to get the key for self-enrolment.
(Voigt-Antons; 2 SWS/3 LP, each WiSe)
VL-Number: 0434 L 912
The main topic of this seminar is the deployment of affective and physiological processes in the context of human-computer-interaction (HCI). Overview structure and function of the human nervous system and neuronal information processing; basic assumption of evolution theory and evolutionary psychology; theories on emotion; current findings of emotion research with an emphasis on positive emotions; methods to induce emotions; measurement of feeling / subjective measurements; overview of related terms/buzzwords like user experience, joy of use etc. Recording and analysis of biosignals like facial muscle activity, heartbeat and eye movements; existing sensors and research to measure these signals during human-computer-interaction; attempts to manipulate user affect in HCI.
(Jettkowski, Schmitt; 2 SWS, 3 LP, each WiSe)
LV-Number: 0434 L 922
No registration in advance needed. The course is limited to 25 students.
If more than 25 students register for the course in the first session we apply the official rules from the current AllgStuPO §36 to limit the number of attendees.
This seminar gives an introduction to privacy, with the focus on human aspects in information privacy. Topics include social media, location tracking, data protection, GDPR, user behavior with respect to e.g. decision making, self-disclosure, privacy paradox and privacy calculus. Also privacy in general, and differences to related topics such as security and confidentiality are discussed. Please send any question by email to Tobias Jettkowski at privacy.seminar[at]qu.tu-berlin.de
LV-Nummer: 0434 L 901
Concept of quality, usability and ergonomics; basics of psychophysics and psychometrics; quality measurement and prediction, scaling; quality elements and quality characteristics; usability engineering lifecycle; usability heuristics; usability tests; other usability evaluation methods; quality of graphical interfaces; quality of transmission systems; quality of interactive systems; models for quality prediction; standards.
A script will be issued for the lecture material. Additional literature will be announced in the course.
An introductory video to the course can be found here.
The course is aimed at students of computer science, computer engineering and electrical engineering. In addition, students from linguistics and communication sciences, technical acoustics, sociology and human factors as well as from other departments are welcome.
This course lays the foundations for an understanding of multimodal communication between humans and multimodal interaction between humans and machines. We begin by clarifying the basic principles of human-human communication and human-machine interaction. We then describe the processes that occur in humans when they perceive auditory, visual, and tactile signals, and how these perceptions are integrated to form multimodal perception. The signals can be generated and received by machines capable of interacting with humans in limited domains. The design of such machines will be discussed, and the limitations as well as possible solutions to overcome these limitations will be explained.
The course will be delivered in MOOC format. The entire course will be completed through TUB's ISIS course management system. To facilitate learning, videos and other learning materials will be made available through the course management system.
Basic knowledge of information and communication technologies
For more information please read the Modul description.
Students are able to reflect on the basic knowledge in the field of digital logic circuits with reference to physical performance parameters and master the most important terms, properties and theories as well as the elementary components and design principles of digital circuits. They possess the skills to design switching networks and switching devices and are capable of teamwork in small groups.
This course is mandatory for students of Computer Engineering, but is also aimed equally at students of Computer Science as well as Electrical Engineering. Please check in advance for credit.
(R. P. Spang; 2 SWS/5 LP or 6 LP, each in SoSe)
LV number: 0434 L 921
Language: German (some projects are offered in english)
The module takes place entirely as an online course.
In the module, students develop digital media using the content of their studies. Computer science skills as well as design and analytical-social science skills are applied. The project includes the complete creation of a digital medium from conception, design, recording and post-production to evaluation. The respective project task is redefined each semester and solved in a team with interdisciplinary competencies. The team organizes itself independently; regular supervision is guaranteed by the lecturers. Finally, there is a presentation of the project result and a written elaboration. The module takes place as an online course. Project work is organized with video conferencing system. Thus, project work is also possible remotely.
Target group: Students of media informatics and media technology in the second semester are accepted with priority.
LV-Nummer: 0434 L 916
This seminar deals with current methods of personal identification using biometric measures. Topics include:
Basics of feature extraction and classification, identification and verification; speaker recognition; face recognition; iris recognition; fingerprint recognition; 'exotic' verification.
(Mohtaj; 6 LP; each SoSe)
The students gain fundamental knowledge of using machine learning methods to process natural language and understanding of different tasks and techniques in natural language processing. It includes knowledge about the advantages and disadvantages of different NLP technologies and also the knowledge of interpreting results of an NLP system. Moreover, the course teaches the evaluation metrics for different NLP tasks like text classification, named entity recognition and keyphrase extraction.
Current fundamental topics in natural language processing are presented in the course. This includes text pre-processing steps, text vectorization and language models. Moreover, different tasks in NLP like text classification, keyphrase extraction, named entity recognition and machine translation and also the evaluation metrics for theses tasks are discussed in the course. The course includes practical project work to apply the taught models on real problems; therefore, basic knowledge of python and machine learning is recommended.
Description of the teaching and learning methods
Studying the online video on the learning platform.
Discussing the topic and questions in the forum and doing the quizzes and projects.