The approach to learning and teaching is interactive and will involve lectures, case analyses, a group project, and presentations, as well as preparation before class and reflection during and after class.

The major concepts discussed will be illustrated with real-world examples and/or cases with the objective to learn fundamental concepts related to the planner and the strategic planning. 

This module consists of two main areas of activity: (1) working on the keys to a good strategy and (2) working on the application of the strategy in the creation phase.

Lectures will be combined with sessions based on the case method where the preparation of a case linked to each topic will be carried out, its resolution and the related theoretical aspects will be addressed through an exposition of the teaching staff and the reading of articles.

The topics are organized sequentially from the more generic topics (which act as a context) to the more specific ones. However, this organization may be altered due to unforeseen events that may require a change in the schedule.

The best learning experiences occur when students participate actively. Students must be prepared to discuss all assigned readings and cases.

Note: The content of the course will be sensitive to aspects related to the gender perspective and the use of inclusive language.

Evaluation

The evaluation of the module is carried out by continuous assessment and through the student's participation in the following activities:

1- Module project (written project): 50%. A specific case will be developed from the knowledge and skills acquired throughout the sessions of the module.

2- Module project (oral presentation): 15% the oral presentation of the project.

3- 25% the practical cases that will be carried out in the sessions of professors Miquel Campmany and Anna Fajula.

4- 10% Participation and follow-up of the module: attendance and participation in the sessions.

Reassessment

Students will be entitled to reassessment in the course if they have been evaluated on a set of activities accounting for at least two-thirds of the total course grade.

Single-Assessment

This course/module does not provide for a single-assessment system.

Not Evaluable

The module will be considered \"not evaluable\" when any of the following requirements are met:

- The activities have not been submitted within the deadlines set by the teachers (in case of late submissions, the grade will be penalized. In case of systematic delays in the deliveries or failure to present them, they will be considered non-assessable).

- The student has not attended at least 80% of the sessions of the module.

- The student has not completed the module project.

- The student has not completed the practical cases of the module.

Use of Artificial Intelligence (AI)

For this module, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks, such as bibliographic or information searches, text correction, translations or the use as a tool in order to improve your project or presentation (e.g. image generation, video). Students must clearly identify any parts generated with these technologies, specify the tools used, and include a critical reflection on how AI has influenced the process and final outcome of the assignment. Failure to disclose the use of AI in this assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases.

Plagiarism

The student performing any irregularity (copy, plagiarism, impersonation,...) will be graded with 0 for this assessment act. In the event of several or repeated irregularities, the final score of the subject will be 0.

Irregularities/ fraud

The performance of any irregularity in an evaluation act (academic fraud, plagiarism or improper use of AI, unless this use is expressly authorized by the teaching guide), which may lead to a significant variation in the grade, assumes that this act will be graded with a 0. In the event that the teaching guide foresees that in order to pass the subject it is an essential requirement to have obtained a minimum grade in this evaluation act or that there are several irregularities in the evaluation acts of the same subject, the final grade of this subject is 0. Apart from this, a disciplinary process may be instructed to the student that incurs any of these irregularities.

Any student suspected of submitting work that includes AI generated content may be asked for preliminary work or other materials to evidence the student’s original and unaided authorship. The student may also be asked to separately explain or support their work. AI identification methods may also be employed by the professors. After review, if it is determined by the instructor that submitted work likely contains AI generated content, the work may receive a zero and the student may be subject to further misconduct measures.