Denmark

This course provides fundamental knowledge of the issues, insights and methods of psycholinguistics. It also trains basic methods for data collection, data processing, statistical analysis, academic argumentation and presentation. The course includes various cognitive models which form a bridge between language as a communicative phenomenon and language as part of human biology. The course provides insight into and experience of using basic tools connected to the planning, implementation, and statistical analysis of a scientific experiment. The course also provides insight into some of the psychological and neurobiological processes which are the foundation of language. Students also acquire skills in quantitative research which can be used in independent work. The course is closely linked to analytical courses in phonetics/phonology, grammar, semantics and pragmatics, and to courses in conversation analysis, language development, and sociolinguistics.

This course explores key philosophical questions about consciousness as it relates to the world. It discusses the connection between intentionality and phenomenal consciousness, the relationship between object consciousness and self-consciousness, and the link between consciousness and the self. On the basis of central texts in contemporary theoretical and practical philosophy, as well as more historical texts in classical phenomenology, the course addresses questions of personal identity: how the self pertains to personal identity, the nature of personal identity over time, how persons persist despite undergoing physical and psychological changes, and the prudential and moral significance of personal identity. The course involves lectures, oral exercises, and group discussions.

This course provides an introduction to the field of quantum computing and information, covering a variety of topics ranging from computation and cryptography to foundations of quantum physics. It explores current research topics and discusses how quantum phenomena give rise to new algorithms for machine learning, quantum computational supremacy, cryptographic schemes with unprecedented security guarantees, and device-independent protocols. Topics include fundamentals of quantum computing; the circuit model; basic quantum algorithms and the concept of quantum computational supremacy; Bell inequalities, non-local games, and the concept of device-independence; and basic quantum protocols for cryptography. As part of the exercises, students run simple quantum programs on an actual quantum computer available through the cloud.