Quality and Usability

Quality and Usability Seminar

Seminar
(2 SWS/3 LP; SoSe/WiSe with changing topics)
LV-Number: 0434 L 905

Language: German

Contet:
Changing topics are offered within the Quality and Usability Seminar.

current semester

Further information will be provided soon

Topic: NLP4Health - Natural Language Processing for Healthcare (hands-on)

ISIS-Course: https://isis.tu-berlin.de/course/view.php?id=36236

Timeframe:
Daten: 01.11.2023, 16-18 Uhr
Raum: TEL 209

Capacity: 20

ECTS: 3 (90h)

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.

The seminar "NLP4Health - Natural Language Processing for Healthcare (hands-on)" addresses problems related to machine learning and natural language processing in healthcare. In the first session, we dive into a variety of different problems related to natural language and healthcare. If you are then interested, you can sign up for this seminar, meaning that you will work in a small team of students examining one of the presented topics. This might include for instance, analyzing a particular problem, implementing a small solution, and/or  conducting some experiments. Topics will be given by the supervisor, as well as support and guidance throughout the process. Note, if you would like to attend the seminar, it would be important for you to be present at the first session on November 1st. Access to Isis will be given in the first session. If you want to participate in the seminar, please come to the first session. In case you cannot participate, write us an email PRIOR to the first session. If you have any further questions please send an email to roland.roller[@]tu-berlin.de

Access to Isis will be given in the first session. If you want to participate in the seminar, please come to the first session. In case you cannot participate, write us an email PRIOR to the first session.

If you have any further questions please send an email to roland.roller[@]tu-berlin.de

Requirements:

  • Python skills, as well as experience with machine learning and natural language is mandatory
  • Regular active participation

Project work:

  • Conducting an experiment for a given topic as a group 
  • Presentation of experimental results 
  • Written project report