Courses offered

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Base Module Courses:

Advanced Courses:

For Research Module 1:

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If Summer Semester 2022 is your second semester

By the regular course of studies your second semester should be filled with:

  • Completing Base Module 1 with SA in Computational Linguistics with AI and EA (exam at the end of the semester)
  • Completing Base Module 2 with SA in Linguistic Data Science and EA (exam at the end of the semester)
  • Begin Research Module 1 by active participation in Block Course Prepatory Seminar Project Management (Note: These will take place on April, 9th, and June 25th) and online course during semester, active participation in Colloquium including presenting your own research idea and giving feedback on those of others, finding an advisor and beginning research for your Research Project.
  • Begin Core Module 1 by gaining your SA in two Advanced Courses.
  • Finish your supplementary Module by taking additional courses as agreed on with the advisory office.

Completing Base Module 1 – Computational Linguistics

The Module

To complete the module, you need to pass

  • the Study Achievement for Introduction to CL (with Python) in winter
  • the Study Achievement for Computational Linguistics and AI this semester
  • and the final exam (Examination Achievement) that follows this semester’s course and will be a written exam (90 minutes) on the module (both classes).

This semester

You should register for Computational Linguistics and AI and participate actively in class to pass the SA. At the end of the semester, you can register for the written final exam to pass the EA for the module, regardless of whether you have passed any of the SA. If you do not pass or are sick at the first examination date, there will be a second date. Note: You have three trials in total for the final exam – if you fail a third time, you will be exmatriculated.

Grade

If you pass all three parts of the module (2 SAs, 1 EA), your grade is determined by the grade you achieve in the final exam. It will count 5 % towards your final grade.

Note

If you have not passed the SA for Introduction to CL (with Python) last semester, you can still participate in this semester’s course and pass both the Study Achievement

Completing Base Module 2 – Linguistic Data Science

The Module

To complete the module, you need to pass

  • the Study Achievement for Introduction to Linguistic Models (with R) in winter
  • The Study Achievement for Linguistic Data Science this semester
  • and the final exam (Examination Achievement) that follows this semester’s course and will be a written exam (90 minutes) on the module (both classes).

This semester

You should register for Linguistic Data Science and participate actively in class to pass the SA. At the end of the semester, you can register for the written final exam to pass the EA for the module, regardless of whether you have passed any of the SA. If you do not pass or are sick at the first examination date, there will be a second date. Note: You have three trials in total for the final exam – if you fail a third time, you will be exmatriculated.

Grade

If you pass all three parts of the module (2 SAs, 1 EA), your grade is determined by the grade you achieve in the final exam. It will count 5 % towards your final grade.

Note

If you have not passed the SA for Introduction to Linguistic Models (with R) last semester, you can still participate in this semester’s course and pass both the Study Achievement

Begin Research Module 1

The Module

To complete the module, you need to pass

  • SA1: The Preparatory Seminar Project Management by active participation in two block days and reflection during this semester
  • SA2: Your Research Project documentation – planning, researching and writing.
  • EA: Active participation in Colloquium during the semester & Presentation of your Idea for your Research Project in one of the Colloquium’s sessions.

This Semester

You will start your first Research project and learn more about exchanging ideas with your colleagues, presenting a concept and giving and handling constructive criticism about your project. Additionally, you will learn about Project Management and how different concepts can help you plan a project alone or in a group. During the semester you will participate in the weekly colloquium where everyone presents their research ideas and gives feedback on those of others. An important part will be how you develop your idea and present it – this presentation will be the foundation for your grade. However, of course the Research project itself that you will do during this and the next semester, will be important as well (graded pass/fail).

To find the right research project for you, look the possibilities up in our Moodle course!

Grade

Your Supervisor for the project will grade your presentation in the colloquium and the way you handle feedback from others and give your own for their ideas. The grade will count 17,5 % to your total grade.

Note

You can do your research project in a group of up to five students. However, in this first project we recommend you working in a smaller group to find a good topic suited to your interests. Your second project (and your Master Thesis) can build on this first project, but it does not have to!
Usually, you would also hear presentations from students in their fourth semester who would present their finished second Research projects. Since this is our first year, we will include presentations from members of the faculty about past projects.

Begin Core Module 1

The Module

To complete this module, you need to pass:

  • the SA in three different Advanced courses.
  • the EA in one of those courses.

Each Advanced Course belongs to one or two Core Topics (Theoretical Linguistics, Linguistic Data Science, or Computational Linguistics). Each of your two Core Modules needs to belong to one Core Topic – you ensure this by picking two courses from one focus area.

This Semester

You will participate in two Advanced courses and should pass the SA in each course. This semester, we offer the following Advanced courses:

  • Argument structure and thematic hierarchies (TL)
  • Dependency Parsing (TL)
  • Syntax and Semantics of NPN (TL)
  • (Social) Web Data Mining with Python (CL, LDS)
  • Data collection and data simulation for GLMMs with R (CL)
  • Machine Learning for NLG (CL)

Grade

The grade for this module will be determined by the EA you pass for one of the three courses. You are free to choose the course where you add the EA to the SA. The grade will count 12,5 % towards your total grade.

Note

You cannot add the EA in a course without passing the SA in the same course. If you are interested in a course this semester, feel free to ask the lecturer about taking the EA. Note that when your EA for the first Core Module is oral (Presentation, Oral Exam), your EA for the second Core Module has to be written (Small Paper, Thesis, written exam) and vice versa.

Finish the Supplementary Module

The courses you pick here strongly depend on your personal Core Topic for the program, your previous experience and – often – the conditions you were admitted under. Before you choose courses you are interested in, make sure that the conditions you were given are met!
Also remember that you have to check in with the Academic Advisor before taking a class to make sure that the course will be accepted for your Supplementary Module. Remember, that you also can choose courses from TU Dortmund or Uni Duisburg-Essen.

These are some courses you might pick for the Supplementary Module this semester (when fitting, the condition this course might fit is given in brackets)