Assessment methods

The assessment of student learning in this program will be conducted through a variety of methods, allowing for a comprehensive and accurate evaluation of their skills in accordance with the requirements of the degree or professional certification awarded. These methods include, but are not limited to:

  • Case studies: Students will be asked to analyze complex real-life situations and propose innovative solutions.
  • Exams and written assignments will be used to assess students' understanding of theoretical concepts and their ability to apply them to real-world problems.
  • Individual presentations and group discussions will be used to assess students' communication, collaboration, and critical thinking skills.
  • Immersive simulations will allow students to put their skills into practice in realistic environments.
  • Professional setting: Projects and internships will enable students to apply their knowledge and skills in real-world professional contexts.

Other evaluation methods

In addition to the assessment methods mentioned above, other approaches may be used depending on the specific needs of the program and the skills to be assessed. These approaches may include portfolios, self-assessment questionnaires, peer assessments, and assessments by industry professionals.

Other evaluation methods

The use of a variety of assessment methods provides a more comprehensive and objective evaluation of student learning. It also allows for different learning styles and gives students the opportunity to demonstrate their skills in different ways.

Teaching methods

The program utilizes a variety of teaching methods designed to promote active, engaging, and stimulating learning for students. These teaching methods include, but are not limited to:

  • Conceptual and theoretical foundations: Classroom lectures and presentations enable students to acquire fundamental theoretical knowledge. These courses are taught by experts in the field and are based on concrete examples and case studies.
  • Group work: Group work allows students to develop their collaboration, communication, and problem-solving skills. It also promotes the exchange of ideas and peer learning.
  • Professional scenarios (AI Clinic): Simulations, role-playing, and real-world projects allow students to put their knowledge and skills into practice in realistic professional contexts. This helps them develop their analytical skills, creativity, and decision-making abilities.
  • Flipped classrooms: In flipped classrooms, students prepare assignments, case studies, and research ahead of class. In class, they discuss, share their ideas, and work together to deepen their knowledge and solve problems. This approach promotes active, student-centered learning.

Other teaching methods

In addition to the teaching methods mentioned above, other approaches may be used depending on the specific needs of the program and learning objectives. These approaches may include guest lectures, workshops, company visits, and research projects.

Choice of teaching methods

The choice of teaching methods will be guided by the program's educational objectives, the characteristics of the learners, and the resources available. The goal is to create a dynamic and stimulating learning environment that promotes the acquisition of the skills and knowledge students need to succeed in the field of AI/Data.

Importance of diversity in teaching methods

Using a variety of teaching methods allows you to cater to students' different learning styles and keep them engaged in their learning. It also creates a richer and more stimulating learning environment that encourages critical thinking, creativity, and problem solving.