Teaching

Introduction to Natural Language Processing

Note that in WS2020/2021 the lecture will NOT take place!

  • When: winter semester
  • Targeted students: Master in Computer Science (Informatik)
  • Language: English
  • Latest lecture information can be found here.

The lecture in Introduction to Natural Language Processing is part of the Smart Computing module. It targets the students from the master studies in Computer Science. The language of the lecture is English. The lecture involves the following topics: introduction to language and grammar, basic text processing, text data representation, text processing for information retrieval, dimensionality reduction and latent semantic indexing, topic models, text classification, structure of text, parsing, information extraction and named entity ex- traction, relation extraction, ontology learning from texts, natural language processing for behaviour understanding, question answering.

Artificial Intelligence I (Smart Computing)

  • When: summer semester
  • Targeted students: Bachelor in Computer Science (Informatik)
  • Language: German
  • Latest lecture information can be found here.

The lecture in Artificial Intelligence is part of the Smart Computing Module. It is given to the students from the bachelor studies in Computer Science. The language of the lecture is German. The lecture involves the following topics: introduction to artificial intelligence, agents, problem solving through search, local search algorithms, constraint satisfaction problems, logical agents, planning, acting under uncertainty, sequential state estimation, computational state space models, learning from observations, Markov decision processes, Q-learning, ontology learning, artificial neural networks, applications to artificial intelligence.

Experimental Lecture on Newest Topics in Computer Science

Note that we do not have any topics for WS 2020/21. If you are looking for a NEIDI project, have a look at the webpage of the [MMIS Group].

  • When: summer and winter semesters
  • Targeted students: Master in Computer Science (Informatik)
  • Language: German or English

The Computer Science Department provides the master students with the option to participate in a practical project involving the newest topics in computer science. The language of the course is English or German depending on the preferences of the students. Examples for topics that students have already been supervised by our grouup are: a platform where chatbots can exchange knowledge between each other in order to provide the answer most suitable for the user; comparison of optical character recognition systems and evaluation of their performance; comparison of different graph-based databases and semantic structures and their evaluation on a dataset from the domain of daily activities of people with dementia.

Seminar on Selected Topics in Ubiquitous Computing

  • When: summer and winter semesters
  • Targeted students: Bachelor in Computer Science (Informatik)
  • Language: German or English

Each semester our group participates in the supervision at a seminar for the bachelor students in Computer Science. The language of the seminar is German. The students are expected to report on selected topics from the field of ubiquitous computing. For example, our group has already supervised topics such as model learning from texts, automatic extraction of procedural knowledge from texts, extraction of action and situation knowledge from texts, natural language communication in robots, activity and intention recognition in everyday activities, unsupervised methods for activity recognition, etc.

Available Topics for Master Thesis

At the moment we do not have any pre-defined topics, but students can feel free to send us suggestions which are in the scope of our research field. Please, contact Teodor Stoev, teodor.stoev(at)uni-rostock.de, if you have particular ideas for a thesis.