teaching & supervision

I truly believe that we learn best in a good working atmosphere, when we allow ourselves to make mistakes and ask questions, when we bring together different background knowledge, reflect and, besides, when we teach.

On this page you find an overview of the courses I taught at Ruhr University Bochum and the research projects I supervised for the M.A. program Linguistic Data Science.

teaching

• SuSe 24
  • AI-assisted Programming (Tuesday 12-14PM)
• WiSe 23/24
  • Social Web Data Mining with Python (Monday 12-14PM)
  • Good Practices for Annotation (Thursday 14-16PM)
• SuSe 23
  • Data Wrangling with Pandas (Thursday 14-16PM)
• WiSe 22/23
  • Exploratory Data Analysis (Monday 12-14PM)
  • Polysemy of Connectors (Thursday 14-16PM)
• SuSe 22
  • (Social) Web Data Mining with Python
• WiSe 21/22
  • Annotation Mining for Modal Sense Classification [online course]
• WiSe 20/21
  • Introduction to Linguistic Models [online course]
  • Neural Networks in Python [workshop, together with Mirjam Koch]
• SuSe 20
  • NLP mit Python (‘NLP in Python’) [4 SWS]
• WiSe 19/20
  • Modalität (‘Mood and Modality’)
• SuSe 19
  • Korrespondenzanalyse (‘Correspondence analysis’)
• WiSe 17/18
  • Ansätze zur Polysemie (insb. von Präpositionen) (‘Approaches towards polysemy (with a focus on prepositions)’)
• WiSe 16/17
  • Relationale Nomina (‘Relational nouns’)
• WiSe 15/16
  • Kontrastive Linguistik (‘Contrastive Linguistics’)
• SuSe 15
  • Bedeutungskonstituierung von Kausalzusammenhängen (‘Construction of meaning in the expression of causal relations’)
• WiSe 13/14
  • Semantische Annotation (‘Semantic annotation’) [together with Antje Müller]

supervision

Many thanks to the students who dedicated themselves to the following projects. I am happy they picked me as a supervisor and about what I learned from their projects.

• Dependency of Modal Sense Classification on Different Word Embedding Techniques using LSTM
• NLP for low-resource languages – Creating a logistic regression classifier for sentiment analysis in Hindi
• Language Identification in Code-Mixed Text using Large Language Model
• Improving Metaphor Detection through Word Sense Disambiguation
• AraBERT-Based Arabic Gender Classifier
• Public sentiment in time of war: visual analysis of Russian Twitter data
• Rapid Miner for the Linguistic Data Science Lifecycle
• Headline Generator for Hindi using mT-5
• Regard Classifier and Gender Bias Evaluation in Arabic