Teaching

1. Artificial Intelligence. Obligatory course. Bachelor’s degree in cybersecurity engineering, L3. In academic year 2021/22, 15 out of 45 hours taught (1.5 ECTS out of 4.5 ECTS).  Coordinator of the course in A. Y. 2022/23, 30 out of 45 hours taught (3 ECTS out of 4.5 ECTS).

2. Development of Games with Artificial Intelligence. Obligatory course (two groups), L3, 40 out of 160 hours taught (4ECTS out of 16 ECTS). Bachelor´s degree in videogame design and development.  Academic years 2021/22, 2022/23, 2023/24.

3. Distributed Artificial Intelligence. Obligatory course, M1, 10 out of 30 hours taught (1 ECTS out of 3 ECTS). Master’s in computer engineering. Academic years 2021/22, 2022/23.

4. Intelligent Systems. Obligatory course, L3, 20 out of 80 hours taught (2ECTS out of 8 ECTS). Bachelor’s degree in computer engineering. Academic years 2021/22, 2022/23, 2023/24.

5. Operational and Statistical Methods of Management. Obligatory course, L2. Bachelor’s degree in cybersecurity engineering. 50-60 students. In academic year 2021/22, 15 out of 80 hours taught (1.5 ECTS out of 8 ECTS).   Coordinator of the course in A.Y. 2022/23. 30 out of 80 hours taught (3 ECTS out of 8 ECTS).

6. Search and Optimization. Obligatory course, M1. Coordinator of the course. 30 out of 60 hours taught (3 ECTS out of 6 ECTS). University Master's Degree in Artificial Intelligence for Energy and Infrastructure Sector. On-Line Interuniversity Program with the International University of La Rioja (Coordinator), University of Alcalá, Rey Juan Carlos University.  Academic years 2022/23, 2023/24.

7. Seminars on Research in Artificial Intelligence for the Energy and Infrastructure Sector. Obligatory course, M1. Co-coordinator of the course. 30 out of 60 hours taught (3 ECTS out of 6 ECTS). University Master's Degree in Artificial Intelligence for Energy and Infrastructure Sector. On-Line Interuniversity Program with the International University of La Rioja (Coordinator), University of Alcalá, and Rey Juan Carlos University.  Academic years 2022/23, 2023/24.

Courses taught at IMT Lille Douai (IMT Nord Europe), Lille, France

1. Intelligent Transportation Systems. Head of the course and the only teacher. Engineering Degree in Computer Science. Specialization program (Master 2). Prerequisites: Introduction to Operations Research. Approximately 10 students per class. Academic years: 2019/20, 2020/21. Total: 36 hours per course per year.

2. Introduction to Artificial Intelligence. Head of the course and the only teacher. Engineering Degree in Computer Science. Elective course (License 3). On average, 25 students per class. Academic years: 2016/17, 2017/18, 2018/19, 2019/20, 2020/21. From 24 to 28 hours per course per year.

3. Introduction to Operations Research. Head of the course and the only teacher. Engineering Degree in Computer Science. Compulsory course (Master 1, License 3). On average, 120 students per class. Academic years: 2017/18, 2018/19, 2019/20, 2020/21. From 24 to 28 hours per course per year.

4. Logistics and Intelligent Transportation Systems. Coordinator of the Specialization Program within the domain Industry and Services composed of the following three courses: Logistics and Supply Chain Management, Intelligent Transportation Systems, and Simulation of Transportation Systems. Engineering Degree in Computer Science (Master 2). Prerequisites: Introduction to Operations Research. Approximately 10 students per class. Academic year: 2019/20, 2020/21. Total: 98 hours  per specialization program per year.

5. Logistics and Supply Chain Management. Head of the course and the only teacher. Engineering Degree in Computer Science. Specialization program (Master 2). Prerequisites: Introduction to Operations Research. Approximately 10 students per class. Academic year: 2019/20, 2020/21. Total: 52 hours per course per year.