Assessment

Continous Assessment Activities

Title	Weighting	Hours	ECTS	Learning Outcomes
Class participation	10%	2	0.08	KM20, KM21, KM23, SM19
Final project	25%	3	0.12	CM22, CM24, SM19, SM20
Knowledge test	40%	1.5	0.06	KM20, KM21, KM23
Practical exercises	25%	3	0.12	CM22, CM24, SM19, SM20

Continuous assessment

The continuous assessment system for this course is based on the following weightings:

A) 40% Knowledge test: The theoretical examination must be passed (minimum grade: 5.0) to pass the course (this is a mandatory requirement).

B) 25% Completion and presentation of practical exercises: In‑class practicals are compulsory. Failure to submit a practical exercise on time will result in a mark of 0.0. The overall grade for criterion B will be calculated as the average of all practical exercise marks.

C) 25% Final project: Analyse and develop a resolution proposal for a communication challenge set by the teaching team within a specific organisational context. Failure to submit the final project on time will result in a mark of 0.0.

D) 10% Class participation: Active participation in class sessions and engagement in classroom discussions and activities will be assessed.

Total: A (40%) + B (25%) + C (25%) + D (10%) = 100% Final course grade

Resit for continuous assessment

a) In accordance with regulations, to be eligible for a resit, students must have been previously assessed in at least 2/3 of all continuous assessment activities and obtained a minimum weighted average final grade of 3.5.

b) Only the theoretical component may be resat if the student took the original test and scored between 3.5 and 4.9. The resit will be a theoretical knowledge exam.

c) Students who receive a D grade for any practical activity, either byfailing or not submitting it (provided there are validated or acceptable reasons), may attempt a resit during the designated period. The resit will consist of solving a communication case or problem in class (to be scheduled).

d) The final project (25%) is not eligible for resit if failed, as it is practically impossible to replicate another work of equivalent complexity during the resit period.

 

Single assessment

The single assessment system for the course is based on the following weightings:

A) 40% Knowledge test: Oral theoretical examination. The exam must be passed (minimum grade: 5/10) to pass the course.

B) 30% Case study/comms challenges: Resolution of four case studies and/or communication challenges.

C) 30% Final project: Analyse and develop a resolution proposal for a communication challenge set by the teaching team.

Total: A (40%) + B (30%) + C (30%) = 100% Final course grade

Resit for single assessment

a) To participate in the resit, students must have been previously assessed in at least 2/3 of all evaluation activities and achieved a minimum weighted average final grade of 3.5.

b) Only the theoretical component may be resat if the student took the original test and scored between 3.5 and 4.9. The resit will be a written theoretical knowledge test.

c) The combined grade from the case studies and challenges forms part of the final grade. If failed, students may retake itunderthe same conditions.

d) The final project (30%) is not resitable if failed, due to the impracticality of replicating such work during the resit period.

 

Not evaluable

According to point 9 of article 266 of the UAB Academic Regulations: If a student cannot provide sufficient evidence of assessment, the course must be marked as “not evaluable”. This course will be deemed non‑evaluable if the student fails to complete at least 80% of the evaluable activities.

 

Plagiarism

If a student engages in any irregularity that may lead to a significant alteration of the grade for an assessment activity, that activity will be graded with a 0, regardless of any disciplinary proceedings that may be initiated. If multiple irregularities occur in assessment activities within the same course, the final grade for that course will be 0.

 

Artificial Intelligence (AI)

In this course, the use of AI technologies is permitted only for the initial exploration of information or ideas and for grammatical correction of text. However, the teaching staff will specify which types of use are allowed for each practical or evaluable activity. Students must clearly identify the parts generated with AI, specify the tools used, and include a critical reflection on how they influenced the process and final result. Failure to transparently disclose AI usage in an evaluable activity will be considered academic dishonesty and may result in partial or total grade penalties for that activity, or more severe sanctions in case of serious infractions.