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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Sans maîtrise de la détection de collision, vos jeux et applications interactives subissent des performances catastrophiques, avec des lags et bugs qui ruinent l'expérience utilisateur.
Une implémentation inefficace gaspille jusqu'à 50% des ressources CPU, entraînant 35% d'abandons de joueurs et des notes inférieures à 3/5 sur les stores, selon des rapports GDC.
Cela coûte en moyenne 40 000 € par projet en debug et retards, menaçant la survie de votre studio face à la concurrence.
Chaque trimestre sans compétences avancées expose votre carrière à des échecs irréversibles et une perte de parts de marché.
The Maîtriser la Collision Detection : Techniques et Algorithmes pour Jeux Vidéo et Applications Interactives training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Maîtriser la Collision Detection : Techniques et Algorithmes pour Jeux Vidéo et Applications Interactives training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Maîtriser la Collision Detection : Techniques et Algorithmes pour Jeux Vidéo et Applications Interactives training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Présentation des types de collisions et contextes d'application (jeux vidéo, CAD, simulations). Notions géométriques (points, segments, plans, sphères, boîtes englobantes). Analyse mathématique de la détection de collision. Découverte des outils et frameworks d’expérimentation.
Étude détaillée des méthodes AABB (Axis-Aligned Bounding Box), OBB (Oriented Bounding Box), détection de collision par sphère. Gestion polygonale (SAT, Minkowski, GJK). Programmation orientée objet et optimisation des algorithmes pour applications temps réel. Cas pratiques sous Unity, Unreal, Godot et bibliothèques open source.
Détection de collision pour animations et physiques avancées (maillages dynamiques, particules). Structures accélératrices (grilles, arbres BSP, KD-Trees). Dépassements et résolutions de collisions. Optimisation du calcul en multithreading, gestion mémoire et benchmarking. Étude de cas intégrée : diffusion dans un pipeline de développement jeu/app interactive.
Target audience
Développeurs, ingénieurs informatiques, concepteurs de jeux et toute personne souhaitant implémenter des systèmes de détection de collision performants
Prerequisites
Bonne maîtrise d’un langage de programmation (C++, C#, JavaScript ou Python recommandé), bases en mathématiques appliquées à l’informatique graphique
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