AI and Machine Learning A and B

AI and Machine Learning A and B

Information Processing and Publishing

Students will explore the applications of Artificial Intelligence (AI) and Machine Learning (ML) across three core domains: Computer Vision, Predictive Analytics, and Natural Language Processing (NLP).

In Semester 1 (A), students will build foundational programming skills, develop computational thinking, and engage with key mathematical concepts that underpin Computer Vision. These skills are then applied to gain an intuitive understanding of image classification and object detection models.

Semester 2 (B) shifts focus to Predictive Analytics, where students learn how predictions can be generated from input data, including language input represented mathematically.

Across each domain, students are introduced to the full ML pipeline, including the training and testing of models to classify images, detect objects within images and make data-driven predictions, including when given text input. They will consider the ethical implications of AI and work both individually and collaboratively to continually develop their digital technology and mathematical competencies while solving problems in real-world contexts.