Universität Wien
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060053 LP Excavation Grub-Kranawetberg (Upper Palaeolithic) BA & MA (2026S)

7.00 ECTS (4.00 SWS), SPL 6 - Ägyptologie, Judaistik, Urgeschichte und Historische Archäologie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 8 participants
Language: English

Lecturers

Classes

13.3. (1. Vorbesprechung): 13:30-15:00 Uhr in der Lithothek
2. u 3. Vorbesprechung: Ort u Termin wird bekanntgegeben

27.7. bis 21.8.2026: Lehrgrabung

Information

Aims, contents and method of the course

During the Lehrgrabung 1/BA (Bachelor Curriculum) the participants learn basic principles of archaeological excavation. This includes planning, surveying (total station), excavation activities, documentation (photos, drawings, total station, etc.) as well as finds management and reporting.

During the Lehrgrabung 2/MA (Master Curriculum) the core competencies of archaeological excavation are reinforced and initial independent decisions about the excavation and documentation process are practiced. This includes, but is not limited to, documentation, protocol and report writing.
The presentation of the excavation results in the context of an open excavation day is supported by the participants.

Assessment and permitted materials

This course (including the assessment(s)) will be entirely in English.
Assessment is based on the following assignments:
* Participation in fieldwork (constant)
* 1 protocol (written, submitted via Moodle)
* 1 report (written, submitted via Moodle)
Detailed information on format, structure and other information on the reports will be made available via Moodle.

The use of generative AI tools is prohibited in written examinations. The same applies to written papers for presentations, seminar papers and academic work (Bachelor's thesis, Master's thesis, dissertation). You may not pass off AI-generated text as your own.
If you use generative AI tools as part of the research and preparation of reports, essays, seminar papers and dissertations/theses (Bachelor's thesis, Master's thesis, doctoral dissertation), you must indicate this as an aid and define which aspects were created by generative AI tools. Under no circumstances may you pass off texts created by generative AI tools as your texts (even if it is only one sentence).
In order to ensure good scientific practice, the course instructors/lecturers may provide for an oral reflection on the written papers and/or seminar papers submitted, which must be successfully completed. Students have a duty to participate in this.

Minimum requirements and assessment criteria

This course (including the assessment(s)) will be entirely in English.

Participation for 20 days is mandatory. Non-attendance days need to be documented with a doctor’s note.

Final grade is calculated based on the grades of the individual assignments, which are weighted as follows:
Participation: 80%
Protocol: 5%
Report: 15%
All three assignments must be completed. Protocol and Report will be submitted via Moodle.

Points grade
100-87 1
86-75 2
74-63 3
62-51 4
50-0 5

Examination topics

Fieldwork techniques and methods.

Reading list

Will be provided on Moodle.

Association in the course directory

Last modified: Th 12.03.2026 13:25