Students should concurrently follow all the other courses of the first semester.

- Improve the understanding of how the way a company manages its people can positively or negatively influence the organization's performance. - Familiarize oneself with the essential practices and activities of Human Resources. - Develop the ability to effectively apply these practices and activities in real-world situations, whether as a Human Resources Director or as a business unit manager with responsibilities in people management.

Session 1: Building High-Performing HR Systems Session 2: The Link Between Strategy and HRM Session 3: Understanding and Managing Employee Response to HR Practices Session 4: The Meaning and Challenges of HR Implementation Session 5: Performance Management Session 6: Reward Management Session 7: Designing Reward Systems (I) Session 8: Designing Reward Systems (II) Session 9: Building HR Scorecards: Challenges and Opportunities Session 10: Auditing HR Initiatives ---------- The topic of HR sustainability is integrated into all sessions, with each session addressing it in relation to its specific content.

The course is based on case studies, readings, and in-person classes. Debate and the exchange of ideas and experiences are essential for the development of the course. Students will be consistently encouraged to present their views and ideas on the topics being analyzed. Many of the problems and issues discussed do not have only one "correct" answer, although some answers may be more valid than others. Therefore, "being right" should not be a primary concern for students when participating in class discussions. All viewpoints can be of interest. Students are expected to listen critically to their peers and ensure that any disagreements are properly explained. It is essential that students prepare the assigned study materials before each session. This is crucial for: 1) maximizing the value of each session; 2) contributing meaningfully to class discussions; and 3) participating productively in class exercises. In this course, students should not use artificial intelligence tools to complete the assignments or exercises proposed by the professor.