Module


General information
Master Teaching Assistantship
Master Teaching Assistantship
MTA
TeachAssist-01-MA-M
Prof. Dr. Prochnow, Steffen (steffen.prochnow@haw-kiel.de)
Prof. Dr. Aßmuth, Andreas (andreas.assmuth@haw-kiel.de)
Prof. Dr. Ehlers, Jens (jens.ehlers@haw-kiel.de)
Prof. Dr. Lüssem, Jens (jens.luessem@haw-kiel.de)
Prof. Dr. Manzke, Robert (robert.manzke@haw-kiel.de)
Prof. Prieß, Malte (malte.priess@haw-kiel.de)
Prof. Dr. Prochnow, Steffen (steffen.prochnow@haw-kiel.de)
Prof. Dr. Schramm, Hauke (hauke.schramm@haw-kiel.de)
Prof. Dr. Woelk, Felix (felix.woelk@haw-kiel.de)
Wintersemester 2025/26
1 Semester
In der Regel jedes Semester
Englisch
Curricular relevance (according to examination regulations)
Study Subject Study Specialization Study Focus Module type Semester
M.Sc. - MCS - Computer Science (PO 2023, V1) Wahlmodul
M.Sc. - MIE - Information Engineering (PO 2022, V3) Wahlmodul

Qualification outcome
Areas of Competence: Knowledge and Understanding; Use, application and generation of knowledge; Communication and cooperation; Scientific self-understanding / professionalism.
Teaching Assisntants learn the basic requirements for preparing, teaching, and postprocessing master-level courses. By swapping from student to teacher perspective, they learn basic skills in education, communication of scientific facts and concepts, and experience basic challenges in academic work.
Teaching Assistants are able to prepare and teach laboratory and exercise courses, create, propose and process examination tasks for university courses, and work with student results and grades in an academic environment.
Along with the teaching experience, teaching assisntants improve their presentation and rhetoric skills, learn how to handle critical situations in teaching events, and get additional experience in time managment. All of this improves their self-awareness and professionality as scientists.
Content information
Depending on the module the teaching assistantship is held in, the contents may vary. Beyond that, all theaching assistantships include preparation, performance and postprocessing of academis courses, exercises, laboratories, seminars, lectures, or similar, under the guidance of a responsible academic staff member.
Teaching formats of the courses
Teaching format SWS
Labor 4
Workload
4 SWS
5,0 Credits
48 Hours
102 Hours
Module Examination
Method of Examination Duration Weighting wird angerechnet gem. § 11 Satz 2 PVO Graded Remark
Projektbezogene Arbeiten 100 %