English Term

AuxStudents: Advanced Writing for Social Media (written C1)

Compulsory Course/Required Elective

Required Elective

Type of Course

Seminar (AWP)

Language

English

Faculty/Faculties
Offered in

Every Semester

Credits

2 CP

Credit Hours

2 SWS

Course Assessment

Die Gesamtnote ist eine Portfolio-Prüfung und errechnet sich aus allen schriftlichen Beiträgen, die im Laufe des Kurses erbracht werden.

Grading

Decimal Grade

Admission Requirements
Offen für Studierende aller Fakultäten NUR wenn sie Writing for Social Media schon bestanden haben. Voraussetzung sind Writing for Social Media (course 1) und Englischkenntnisse auf dem Niveau C1, Einstiegslevel C1
Entry Level
C1

Objectives

 

Die Einstufung richtet sich nach dem Gemeinsamen Europäischen Referenzrahmen (GERS).

Startniveeau: B2+

Zielniveau: C1-

Was ist Ihr Sprachniveau? Hier geht es zum Selbsteinstufungstest.

Inhalte

 

Managing the teams in charge of of our @AuxStudents account.

For the students who successfully passed Writing for Social Media, it is your turn to manage the process and be a guiding force to make our social media presence more professional and increase our engagement. You will be in charge of making sure that the teams work together well and make valuable posts. It will be your change to be a leader and an influencer of the influencers. You will be the directors helping the communication and the work flow between groups. This course is entirely in English and the communication is done on Zoom and via Whatsapp.

The course focuses on the following topics:

  • Managing our teams social media account @AuxStudents
  • Deciding if the suggested content from the team members fits to our account
  • Coordinating content with a team to effectively attract followers
  • Reflecting on the written posts, pictures, and designs
  • Testing various types of posts and stories to determine engagement
  • Negotiating with local businesses for giveaways and online contests
  • Delegating the responsibilities well
  • Studying the data analytics to make suggestions for the future of @AuxStudents.

Recommended Literature

 

Course materials will be made available on Moodle and in class.

Work Load

 

30 hours (2 h / week)