Course Description
This foundational course covers key concepts, and theoretical underpinnings of artificial intelligence (AI). Students will be introduced to the definition of AI and the basics of generative AI by exploring the impact, applications, and use cases of AI and how it is transforming our lives. Additionally, students will learn about the core concepts of AI, covering machine learning, neural networks, and deep learning and explore generative AI models, including large language models (LLMs), and their capabilities. As part of the course, students will gain hands-on experience using AI tools and platforms to implement AI applications, enabling them to apply theoretical knowledge to practical, real-world scenarios.
Intended Learning Outcomes
CILO-1: Articulate the basic concepts and key principles of core artificial intelligence (AI) technologies.
CILO-2: Recognise and summarise key aspects of the major artificial intelligence and machine learning algorithms and their applications.
CILO-3: Evaluate the advantages, disadvantages, and challenges of human-AI interaction.
CILO-4: Apply AI tools or platforms to solve a problem or complete a task.