Al & Machine Learning

Subject Area
Credits 1
Prerequisites

1.0 Credit of Coding Experience (equivalent to 1 year) - This experience may be gained by completing two (2) of any of the following courses: Robotics, Coding in Action, Mobile App Development or Mobile Game Development.

Home Learning
Moderate
Course Description

AI & Machine Learning provides students interested in a career in the ICT industry an opportunity to explore technologies in the fields of Data Science, Machine Learning, and Artificial Intelligence. Following a project-based approach, students will gain hands-on experience combining cutting-edge machine learning techniques with Design Thinking to develop their own creative solutions to real-world challenges such as health, sustainability and the environment.

Learning Outcomes

Students will:

  • Learn to program in Python.
  • Analyze, manipulate and visualize large and complex real-world data sets.
  • Learn how a variety of machine learning methods work.
  • Create machine learning models and use them to make predictions based on data.
  • Create neural networks to solve computer vision challenges.
  • Explore the ethical challenges posed by Al systems such as ‘deep fake’ technology.
  • Develop Al ‘agents’ that use machine learning techniques to act intelligently on the physical world around them.
  • Apply Design Thinking to design creative solutions to open-ended real-world challenges using Al and machine learning.
  • Publish an online portfolio of work.
Assessment

Students will be assessed through a range of activities and assessment types such as practical programming activities, extended projects, presentations, written compositions and tests.

Grades
10,
11,
12
Grading Scheme
Standards-based Course