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In this seminar, we will discuss how scientific publications come about, and then guide you in conducting and presenting a review of publications for a topic of your choice. The review will be presented in class, as well has handed in as a written report. The lecturers and topics will change every year.
For Winter 2020, Navid Rekabsaz and Jan Schlüter will provide potential topics from two fields:
- machine learning for music and audio processing (such as music similarity estimation, auto-tagging, acoustic scene analysis)
- natural language processing (such as sentiment analysis, translation, summarization)
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General information
Eligibility: Master in AI.
Seminar objectives: Improving knowledge and skills in
- literature research,
- independent development of a topic that is novel to the student,
- presentation of results (delivering a written report and giving an oral presentation), and
- critical assessment of scientific work (reviewing reports by others).
Language: English
Specific content and activities to be performed
- Choose your favorite topic from a list (quite comprehensive, provided by course supervisors)
- Find and study relevant literature (6-8 papers), compile annotated bibliography (about 10 lines per paper; approx. 6 weeks time)
- Deliver written seminar report (about 12 pages, until mid-term)
- Review a colleague's report (optional; depending on number of participants)
- Deliver oral seminar presentation (about 20 minutes, end of semester)
