Advanced Certificate in Playful STEM: High-Performance Curriculum
-- ViewingNowThe Advanced Certificate in Playful STEM: High-Performance Curriculum is a comprehensive course designed to equip educators with the latest skills and methodologies in teaching Science, Technology, Engineering, and Mathematics (STEM). This course emphasizes the importance of playful learning, which has been proven to enhance students' understanding and retention of complex concepts.
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Kursdetails
โข Advanced Robotics: This unit covers the design and programming of advanced robotic systems using popular platforms like Arduino, Raspberry Pi, and Lego Mindstorms. Emphasis is placed on developing problem-solving and critical thinking skills through hands-on activities and projects.
โข Coding for Games and Simulations: Students will learn to create their own video games and simulations using popular programming languages like Python, Java, and C#. They will also explore the physics and mathematics behind game development.
โข Mathematical Modeling: This unit teaches students how to build and analyze mathematical models of real-world phenomena. Students will learn to use algebraic, geometric, and statistical methods to make predictions, analyze data, and solve complex problems.
โข Data Science and Machine Learning: Students will explore the fundamentals of data science and machine learning, including data visualization, predictive modeling, and natural language processing. They will also learn to use popular tools like Jupyter Notebooks, TensorFlow, and Scikit-Learn.
โข Physical Computing: This unit introduces students to the world of physical computing, where they will learn to create interactive systems that respond to real-world inputs like light, sound, and temperature. Students will use popular platforms like Arduino, Raspberry Pi, and Makey Makey to build their own projects.
โข Advanced Programming Concepts: In this unit, students will delve into advanced programming concepts like object-oriented design, recursion, and functional programming. They will learn to use popular programming languages like JavaScript, Ruby, and Swift to build complex systems.
โข Virtual and Augmented Reality: Students will explore the world of virtual and augmented reality, where they will learn to design and build immersive experiences using popular tools like Unity, Unreal Engine, and A-Frame. They will also learn about the psychology and physiology of virtual reality.
โข Artificial Intelligence and Robotics: This unit covers the fundamentals of artificial intelligence and robotics, including machine learning, computer vision, and natural language processing. Students will learn to use popular tools like TensorFlow, OpenCV, and NLTK to build intelligent systems.
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Zugangsvoraussetzungen
- Grundlegendes Verstรคndnis des Themas
- Englischkenntnisse
- Computer- und Internetzugang
- Grundlegende Computerkenntnisse
- Engagement, den Kurs abzuschlieรen
Keine vorherigen formalen Qualifikationen erforderlich. Kurs fรผr Zugรคnglichkeit konzipiert.
Kursstatus
Dieser Kurs vermittelt praktisches Wissen und Fรคhigkeiten fรผr die berufliche Entwicklung. Er ist:
- Nicht von einer anerkannten Stelle akkreditiert
- Nicht von einer autorisierten Institution reguliert
- Ergรคnzend zu formalen Qualifikationen
Sie erhalten ein Abschlusszertifikat nach erfolgreichem Abschluss des Kurses.
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- Offene Einschreibung - jederzeit beginnen
- 2-3 Stunden pro Woche
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