ADE690 - SEMINAR: DEUTSCHE SPRACHE UND LITERATUR
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| SEMINAR: DEUTSCHE SPRACHE UND LITERATUR | ADE690 | 1st Semester | 0 | 2 | 0 | 7 |
| Prequisites | ||||||
| Course language | German | |||||
| Course type | Must | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Case Study Other | |||||
| Instructor (s) | Lehrpersonen | |||||
| Course objective | Hier wird erzielt die Seminarteilnehmer so zu befähigen, dass sie mit wissenschaftlichen Texten umgehen können um ihre Eignung zum Zweck wissenschaftlicher Tätigkeiten weiter zu entwickeln. | |||||
| Learning outcomes |
| |||||
| Course Content | Hier werden die Magistranten auf die Magisterarbeit vorbereitet: die Hauptquellen für Forschungsarbeiten werden vorgestellt und Methoden erläutert, wie die einschlägigen Quellen benutzt werden sollen (wie z. B. das Anfertigen von Notizen, manuellen und elektronischen Archiven, das Durchführen theoretischer und praktischer Forschungsarbeiten); dabei werden sowohl Probleme der linguistischen als auch der literaturwissenschaftlichen Forschung diskutiert und anhand von Beispielen und Modellen erläutert. | |||||
| References | Unter Rücksichtsnahme auf das Erfahrungshorizont und den Stand der wissenschaftlichen Kompetenz der Seminarteilnehmer werden die hier heranzuziehenden wissenschaftlichen Werke und Materialien in Absprache mit ihnen vereinbart. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Presenting the problem in scientific research |
| Week 2 | Solution to the problem in scientific research |
| Week 3 | Testing accuracy and systematic study in scientific research |
| Week 4 | Measuring, observing and analyzing determined variables with statistical methods |
| Week 5 | Objectivity and measurability of scientific research |
| Week 6 | How to write a scientific article |
| Week 7 | How to do a literature review |
| Week 8 | Data collection and analysis |
| Week 9 | Interpretation and reporting of findings |
| Week 10 | Scientific article summary is written |
| Week 11 | Interpretation and criticism of scientific work |
| Week 12 | Revealing the system of relations between natural events and phenomena |
| Week 13 | Repetition |
| Week 14 | Repetition |
| Week 15 | Preparation for the general exam |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 2 | 50 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 2 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 14 | 3 | 42 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
| Presentation / Seminar Preparation | 2 | 3 | 6 |
| Project | 2 | 7 | 14 |
| Homework assignment | 2 | 8 | 16 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 1 | 6 | 6 |
| Total Workload | 49 | 36 | 210 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Expertise and applied knowledge in the field | X | ||||
| 2. Concept review and commentary on the field | X | ||||
| 3. New theories regarding the field | X | ||||
| 4. Applying specialization topics | X | ||||
| 5. Basic information about the field | X | ||||
| 6. International cooperation (European Language Portfolio Global Scale, Level B2) | X | ||||
| 7. Collecting data about the field | X | ||||
| 8. Applying the knowledge gained | X | ||||
| 9. Experience postgraduate level qualifications | X | ||||
| 10. Ability to process expert data | X | ||||
| 11. Analyzing and evaluating theoretical knowledge related to the field | X | ||||
| 12. Developing field-related behavior | X | ||||
| 13. Applying technical issues related to the field | X | ||||
| 14. Decision making skills | X | ||||
| 15. Social awareness | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest