In person

: Points will be assigned to several activities as follows:

Project (P) – 75%

• Given a real situation for which the development of a project is needed, students will be asked to work in groups and develop a project plan.
• This project is designed to develop students’ skills in real applications that require the use of different quantitative tools and methods in data interpretation for decision-making.
• All group members are expected to discuss the development of the project regularly and to participate equally in completing the group work. To foster a productive learning environment, it is important that all students attend class prepared and willing to contribute.
• The grade corresponding to the project is divided into the following items:
  • Work diary (5%): each team will select a project management tool and use it to monitor the progress of the work. This tool must be updated weekly and the professor must have access.
  • Deliverables (30%): follow-up activities carried out during or outside class hours related to the project (e.g., golden circle, concept sheet, survey, focus group, user research, empathy map, persona, project canvas, etc.). All exercises will be weighted at the end of the semester, so each contributes the same weight to the final grade.
  • Peer review evaluation (10%).
  • Report (30%): final project report.
  • Final presentation (25%): at the end of the semester, in person in the classroom.

Case study (CS) – 10%

• Case study covering the activity planning module.
• A computer is needed to solve this case.
• The case must be solved individually.

Autonomous learning activities (A) – 15%

• Autonomous learning activities that must be completed individually before some of the sessions.
• All these activities will be weighted at the end of the semester, so each contributes the same weight to the final grade.

Final grade = 0.75 × P + 0.10 × CS + 0.15 × A

For the second assessment period, the final grade results will be obtained from an individual project (50%) and an exam (50%).

Policy

• Attend class prepared, with the required material and prior activities submitted.
• Punctuality is critical. If for any reason a student cannot attend a session, they must inform the professor in advance and prepare a proposal to make up for the work that will be missed.
• Assignments are expected to be of quality and submitted within the established deadlines. All activities will be assessed both for their content and for the quality of the presentation.
• Each day of delay in submitting an activity entails the loss of one point. The only exception is autonomous learning activities, which, if not submitted on the indicated date, will be assessed with a zero.
• If a student cannot attend a session on a given day and there are exercises due that day, they must still submit them on the date established in the calendar.
• Mobile phones interrupt the class. All these devices must be switched off or on silent and may not be taken out during class.
• In exam situations or assessment exercises, the use of mobile phones or similar communication devices may lead to academic dishonesty. Consequently, if the student uses them, they will be expelled from the exam and assessed with a 0 in that specific test. The same penalty will apply if plagiarism is detected in any of the course submissions.
• Generative artificial intelligence tools may be used only in accordance with the specific instructions for each activity. When their use is allowed, students must transparently declare how they have used them. Any misuse, concealment of its use, or presentation of AI-generated content as if it were entirely one’s own may be considered a breach of academic honesty and will result in a grade of 0 for the corresponding activity.