Grades 9-12 | Advanced Machine Learning & Artificial Intelligence
Grades 9-12 | Advanced Machine Learning & Artificial Intelligence
Overview: Students explore AI and machine learning, focusing on image analysis and real-life applications, including building and training machine learning algorithms.
Grade Band: 9-12
Lessons: 15
Professional Development: Yes
Software Needed: Yes
Equipment Required: No
Number of Students per Equipment Kit: 24
All Included: Yes
Product Description:
The "Advanced Machine Learning & Artificial Intelligence" course is designed for learners in grades 9-12. This comprehensive 15-hour course introduces students to the advanced concepts of machine learning and artificial intelligence, focusing on real-life applications and challenges. Students will collect and build datasets to train machine learning algorithms and explore image analysis and augmented reality (AR) applications.
Course Features:
15 Lesson Hours: The course includes 15 detailed lessons that cover a wide range of topics in machine learning and artificial intelligence.
Curriculum and Supporting Materials: Comprehensive lesson plans, activity guides, and additional resources to support effective teaching and learning.
Ongoing Product and Curriculum Support: Continuous support to ensure the curriculum remains relevant and effective.
Professional Development: Training sessions for educators to deliver the course content effectively and facilitate student learning.
Facilitation by a Trained STEM Instructor (Optional): Option to have a professional STEM instructor lead the course.
Learning Target Examples:
Introduction to Machine Learning and AI: Understand the foundational concepts of machine learning and artificial intelligence.
Data Collection and Preparation: Learn how to collect, clean, and prepare datasets for machine learning models.
Supervised Learning: Explore supervised learning techniques and algorithms.
Unsupervised Learning: Understand unsupervised learning methods and their applications.
Neural Networks and Deep Learning: Dive into the basics of neural networks and deep learning.
Image Recognition: Implement image recognition models and understand their applications.
Natural Language Processing (NLP): Explore NLP techniques and build models for text analysis.
Reinforcement Learning: Understand the principles of reinforcement learning and its real-world applications.
Model Evaluation and Optimization: Learn how to evaluate and optimize machine learning models.
Ethics in AI: Discuss the ethical implications of artificial intelligence and machine learning.
Augmented Reality (AR) Applications: Explore the integration of machine learning with AR technologies.
AI in Healthcare: Understand the applications of AI in the healthcare industry.
AI in Finance: Explore how AI is transforming the finance sector.
AI in Autonomous Vehicles: Learn about the role of AI in developing autonomous vehicles.
Final Project: Develop a comprehensive machine learning project that addresses a real-world problem.
Equipment Included:
Classroom Set of Tablets: Devices for students to use for coding and machine learning projects.
Supporting Materials: Various materials required for hands-on activities, including software licenses and instructional guides.
Machine Learning Software Access: Access to machine learning and AI software tools necessary for the course.
Professional Development:
Teacher Training: Comprehensive training sessions to equip educators with the skills and knowledge to effectively teach the course.
Ongoing Support: Continuous professional development opportunities and support to ensure successful course delivery.
Additional Information:
Designed for Learners in Grades 9-12: The course is tailored to meet the developmental and educational needs of students in this age group.
Hands-On Activities: Emphasis on interactive and engaging activities to foster a love for learning and exploration in STEM fields.
Problem-Solving and Creativity: Encourages students to use their imagination and creativity while learning advanced concepts in machine learning and artificial intelligence.