Teaching
Courses, Resources & Student Opportunities
Explore my teaching activities at the University of Lille: hands-on courses, curated resources, and research opportunities for students in robotics, computer graphics, and simulation.
DU-823220: Logique Séquentielle – SAP et Grafcet
Semester: S3
Level: Undergraduate
CM: 22h
TP: 22h
Evaluation: DS, Note de Classe, Note de TP
Industrial logic and computer systems for automation and control
SIMULATION-MEDICALE: Simulation Médical et Robotique Médicale
Semester: Fall 2024
Level: Graduate
CM: 10h
Evaluation: Exposé, Note de Classe
Medical simulation techniques and medical robotics applications
MODELING-MEDICAL-SIM: Modeling & Real-Time Medical Simulation
Semester: Fall 2024
Level: Graduate
Evaluation: Exposé, Note de Classe
Advanced modeling techniques for real-time medical simulation systems
DU-822150: Initiation à la recherche
Semester: S2
Level: Graduate
CM: 12.5h
TP: 0h
Evaluation: Exposé
Introduction to research methodology and scientific presentation skills
DU-822240: Modélisation des systèmes de production
Semester: S2
Level: Graduate
CM: 27.5h
TP: 16h
Evaluation: DS, Note de Classe, Note de TP
Modeling and analysis of production systems and manufacturing processes
GR-711302: Automatique : Robotique
Semester: S1
Level: Graduate
TP: 21h
Evaluation: Note de Classe, Note de rapport
Automatic control systems applied to robotics with hands-on practical work
GBA3-ROBOTIQUE-ABB: TP Robotique ABB IRB140
Semester: 2025-2026
Level: Undergraduate
TP: 7h
Evaluation: Livrables (40%), Implication (25%), Réalisation (25%), Sauvegarde (10%)
Simulation et programmation robotique industrielle avec RobotStudio, RAPID et GRAFCET. Applications en génie biologique et alimentaire.
GR-712302: Programmation
Semester: Fall 2024
Level: Graduate
TP: 20h
Evaluation: Note de Classe, Note de rapport
Advanced programming concepts and techniques for engineering applications
GR-713301: Automatique: Régulation de Système
Semester: S3
Level: Graduate
TP: 32h
Evaluation: Note de Classe, Note de rapport
System regulation and automatic control theory with practical applications
GR-713302: Analyse numérique : Optimisation
Semester: S3
Level: Graduate
TP: 16h
Evaluation: Note de Classe, Note de rapport
Numerical analysis and optimization methods for engineering problems
GR-715201: Usine 4.0
Semester: S5
Level: Graduate
CM: 4.5h
TP: 6h
Evaluation: Exposé, Note de Classe
Introduction to Industry 4.0 concepts, IoT, and smart manufacturing
TESTS-MAINTENANCE: Tests et Maintenance
Semester: Fall 2024
Level: Graduate
TP: 8h
TD: 21.1h
Evaluation: Note de rapport
Software testing methodologies and system maintenance practices
DU-822110: Mathématiques pour l'ingénieur
Semester: S2
Level: Graduate
CM: 18.75h
TP: 20h
Evaluation: DS, Note de Classe, Note de TP
Advanced mathematics for engineering including Taylor series, differential equations, Fourier series, and Fourier transforms with practical applications
DU-822160: Introduction à la Sécurité Informatique
Semester: S2
Level: Graduate
CM: 6h
Evaluation: DS, Note de Classe
Introduction to cybersecurity fundamentals, data protection, authentication systems, and security best practices
DU-825250: Usine Connectée
Semester: S5
Level: Graduate
CM: 10h
Evaluation: Exposé, Note de Classe
Connected factory concepts, IoT integration, and smart manufacturing systems with focus on industrial applications
DU-812170: Culture Numérique et Sécurité des Données
Semester: S2
Level: Formation Continue
CM: 2.5h
Evaluation: Exposé, Note de Classe
Digital culture and data security covering cybersecurity fundamentals, data protection, GDPR compliance, and modern security practices
DU-816260: Usine Connectée
Semester: S6
Level: Formation Continue
CM: 7.5h
Evaluation: Exposé, Note de Classe
Advanced connected factory concepts for continuous education, focusing on IoT implementation and smart manufacturing
OA-ROBOTIQUE-MEDICALE: Robotique médicale
Semester: S3
Level: Master
TP: 8h
TD: 4h
Evaluation: Note de Classe, Note de rapport
Medical robotics applications including surgical robots, rehabilitation systems, and medical simulation
Teaching Resources
Curated resources for students and educators: programming, simulation, research, and more.
I integrate modern software tools and platforms to enhance the learning experience:
- SOFA: Open-source framework for real-time simulation used in medical simulation courses
- Notion: Course organization, documentation, and student resources
- Webflow: Web development and design projects
- Google Sheets: Data analysis and collaborative projects
Additional Teaching Activities
Student Supervision and Projects
- GBA4 & GBA5 Interns: Supervision of 4th and 5th year engineering students (6h each)
- Apprenticeship Programs: Mentoring students in professional integration
- Year Responsibility: Academic administration and student guidance (24h)
Specialized Workshops
- TP Robotino: Hands-on robotics with Robotino platform (6h)
- S5 TP Robotique: 5th semester robotics practical sessions
- S5 TP Automatique et Régulation: Control systems labs with M. Jean Yves Dieulot
- S5 TP Optimisation: Optimization methods practical work
Teaching Philosophy
My teaching approach emphasizes:
- Hands-on practical experience with industry-standard tools
- Real-world applications in robotics and medical simulation
- Interactive learning through practical workshops
- Integration of research with teaching
- Student mentorship and professional development
View all courses
Student Research Opportunities
I regularly mentor undergraduate and graduate students on research projects related to simulation, computer graphics, and robotics. If you are interested in getting involved in research, please contact me to discuss potential opportunities.
Current research opportunities include:
- Real-time simulation algorithm development
- Machine learning for physics-based simulation
- Virtual reality interfaces for medical training
- Soft robotics control and simulation
Teaching Awards and Recognition
- Outstanding Teaching Award, Department of Computer Science, 20XX
- Innovative Course Design Award, University Teaching Center, 20XX
Student Testimonials
“Professor Adagolodjo’s course was challenging but incredibly rewarding. His hands-on approach to teaching computer graphics helped me understand complex concepts that I now use daily in my job.” — Former Student, CS205
“The medical simulation project in Professor Adagolodjo’s class gave me real-world experience that helped me secure my internship. His mentorship was invaluable.” — Former Student, CS301