Lectures and Seminars

Einführung in die Statistik

Instructors: Dr. Katharina Oster
Course No.: 06.008.0999
Course Type: Übung

This multilingual translation course is aimed at students whose native language (A language) is neither English nor German and who can read, write, and speak English competently. Since we will not use German in this course, your proficiency in German is irrelevant.
You will need a proficiency level of at least B2.2. This means that you can “understand the main ideas of complex text on both concrete and abstract topics, including technical discussions in [your] field of specialisation”, “interact with a degree of fluency and spontaneity that makes regular interaction with native speakers quite possible without strain for either party”, and “produce clear, detailed text on a wide range of subjects and explain a viewpoint on a topical issue giving the advantages and disadvantages of various options”.
You will be expected to participate actively, with regular coursework including four mandatory assignments (each of which requires a minimum score of 50%). Assignments and dates will be posted in Moodle. If you need a grade for the course, you will additionally submit a portfolio at the end of the semester.
Further information on the course will be available in Moodle by the beginning of the semester. Ideally, you should access the Moodle course before our first session; to obtain access, please contact the lecturer, Susanne Hagemann, preferably from your JGU email account. Make sure to familiarize yourself with the information provided in both Jogustine and Moodle.

Apart from dates specified in Moodle, attendance is not compulsory. However, classroom discussions are essential to the course because translation is a process, not simply a product. You should therefore make an effort to attend and participate.
For sessions that you do not attend, it is your own responsibility to find out from other participants what we have discussed, and to bring yourself up to date on everything that you may need for your further coursework. Please be aware that, in doing so, you risk losing information and/or being misinformed. It is up to you to decide how to handle this risk.

Course materials as well as upload folders for your assignments will be made available in Moodle.
You are free to use generative AI tools such as ChatGPT, DeepL, or Perplexity (unless explicitly forbidden to do so). However, make sure to fully document both your input and the AI output. In mandatory assignments, failure to do so will be treated as cheating and result in your not being able to complete the course.
Please bring a laptop to our sessions.