This course is taught in the second semester. Students should pass all the courses in the first semster.

ABy the course's conclusion, students should: - Articulate the concept of strategic employee management. - Outline the criteria for effective Human Resource (HR) strategies. - Summarize key HR strategies managers can employ to support the implementation of organizational strategies, including: Job design and HR planning; Recruitment and selection; Training; Performance management; Compensation. - Analyze the primary challenges managers encounter in developing and executing HR initiatives, and propose strategies to address these challenges.

The course presents the main HR topics from a strategic perspective: - Effective deign of HR strategies - Talent attraction policies (recruitment and selection) - Talent development policies (training and career management) - Performance management programmes - Compensation policies - Effective implementation of HR strategies

The course will be based on case studies, a reading list, and presentations. Discussing and sharing ideas and experiences will be pivotal for the development of the course. Students will be encouraged to share their insights and thoughts in class discussions. As with other areas of HRM, most issues, cases and problems will not have "one right" answer, although some answers will be more valid than others. Thus, being right or wrong should not be a major concern for students when participating in class discussions. All viewpoints will be of interest. Everyone is expected to adopt a critical approach to their peers' contributions, and any disagreement should be explained. Each student is expected to be: - Prepared for each class session, whereby assigned readings, exercises and case studies are to be completed as required - A committed and loyal contributor to the learning team - Respectful and polite in class discussions and activities - Present at all classes - Punctual In this course, students should not use artificial intelligence tools to carry out the work or exercises proposed by the faculty. In the event that the use of AI by the student gives rise to academic fraud by falsifying the results of an exam or work required to accredit academic performance, the Regulation of the University Carlos III of Madrid of partial development of the Law 3/2022, of February 24th, of University Coexistence, will be applied.