Dr. Hadjer Bechinia
PhD in Computer Science
The module Complex Systems and Artificial Intelligence (CSAI) is offered as part of the Master’s Program in Data Science and Artificial Intelligence during Semester 3, within the teaching unit UEF3. It carries 4 credits with a coefficient of 2 and is delivered in person over a total of 42 hours across 14 weeks. The course is structured with weekly sessions comprising 1 hour and 30 minutes of lectures and 1 hour and 30 minutes of practical work, allowing students to combine theoretical understanding with hands-on application. Assessment is based on a combination of continuous control and a final exam, where the final grade is calculated as 40% continuous assessment and 60% final examination. Continuous assessment includes quizzes, exercises, and active participation in workshops, with students given a 7-day deadline to complete each assigned task, while the final exam is written and evaluates both theoretical knowledge and practical application skills.
This course aims to provide students with a comprehensive understanding of advanced concepts in complex systems, emphasizing their modeling, analysis, and practical applications, as well as their strong interconnections with data science and artificial intelligence.
Operations Research
Soft Computing
Metaheuristics
PhD in Computer Science
Biography of instructor/staff member #2
Students are expected to have a basic understanding of programming (preferably in Python), fundamental concepts in mathematics (linear algebra and probability), and an introductory knowledge of machine learning.
The final grade is based on 40% continuous assessment (quizzes, exercises, and workshop participation) and 60% final written exam covering both theoretical concepts and practical applications.
This course introduces key concepts of complex systems and their integration with artificial intelligence techniques, enabling students to analyze, model, and solve real-world problems using advanced AI approaches.