Assessment

Continous Assessment Activities

Title	Weighting	Hours	ECTS	Learning Outcomes
Continued evaluation. Exercises to be solved autonomously. Weekly.	30	10	0.4	CM09
First case study.	35	15	0.6	CM09
Second Study case	35	25	1	CM09

• This subject is excluded from single assessment.

• Completion of a weekly graded exercise. Assignment explained on Thursday and submitted the following Tuesday.

• These exercises may be done and submitted collectively, in pairs or groups of up to four students.

Submission of First Case Study

• Data provided by the instructor.

• A simulated archaeological scenario with numerical data on various aspects of the archaeological record.

• Students must solve the archaeological question posed, statistically arguing their response using the provided data and the necessary calculations for hypothesis testing.

• This first case is resolved in class with the help of the professor. The student task is to integrate all analyses and class discussions into a well-organized paper including an introduction, approach, calculation discussion, results, and conclusions.

Submission of Second Case Study

• Also based on instructor-provided data,another simulated archaeological scenario.

• In this case, the problem is discussed in class, but students must work independently, identifying the necessary analyses and applying everything learned during the course.

Recovery Procedure

• At the time of each graded activity, the professor will inform students (via Moodle) about the procedure and review date of the grades.

  Only the final project (second case study) can be re-evaluated.

• This decision is made on a case-by-case basis after a personal interview between the student and the professor.

• The re-evaluation deadline is also determined on a case-by-case basis by mutual agreement.

• Students will receive a “Not assessable” grade if either of the two case studies is not submitted.

• If a student commits any irregularity that could significantly alter the evaluation result, the affected activity will be graded with a 0, regardless of any disciplinary process. Multiple irregularities in one course will result in a final grade of 0.

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AI Use Policy

• The use of Artificial Intelligence (AI) technologies is recommended as an integral part of the course work, as long as the final result reflects a significant contribution from the student in analysis and personal reflection.

• Students must:
  (i) identify which parts were generated with AI;
  (ii) specify which tools were used;
  (iii) include a critical reflection on how these tools influenced the process and the final result.

• Lack of transparency in AI use will be considered academic dishonesty, resulting in a grade of 0 for the activity and no possibility of recovery, or greater sanctions in serious cases.