1.0 Credit of Coding Experience (equivalent to 1 year). This experience may be obtained by completing a full year course or 2 semester courses.
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.
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.
Students will be assessed through a range of activities and assessment types such as practical programming activities, extended projects, presentations, written compositions and tests.