Students will learn about Artificial Intelligence from its core pillars to coding and implementing Machine Learning models and programs. The course covers the technological advancements that enabled AI to become a reality, then moves on to exploring the concept of AI in greater depth. Students will understand how AI differs from the more familiar conventional coding.

Students will deepen their knowledge of AI. They will be introduced to search algorithms for problem solving, knowledge representation and reasoning, image recognition, “fuzzy logic”, and neural networks by doing.

We don’t call them students, we call them young scientists! We teach students about scientific inquiry, reasoning and critical thinking. They are encouraged to make assumptions and predictions, bringing together their experiences and knowledge from different subjects. They will utilize their skills, creativity and intuition to design and build a science project related to renewable energy.

We don’t call them students, we call them young scientists! We will introduce students to renewable energy technologies as well as their real world application. This is a project driven course. Topics covered include energy consumption, the advantages and disadvantages of renewable energy, energy production, energy conversion, environmental issues and concerns. Students will explore the transformation of energy (solar, water and wind) into elect...