ÐÂÏã¸ÛÁùºÏ²Ê¿ª½±½á¹û

This module is designed to equip students with practical skills and knowledge in the application of generative AI for information processing, including for data analysis, interpretation, visualization, and programming.Ìý

We aim to provide a deep understanding of modern information processing techniques, focusing on harnessing the power of AI-assisted information processing tools. Through hands-on experience and practical exercises, students will gain proficiency in data analysis, interpretation, visualisation, and programming, enabling them to make informed decisions and extract valuable insights from complex datasets.

This module aims to foster critical thinking and problem-solving abilities, empowering students to tackle real-world challenges where effective information processing is paramount. By the end of the course, students will be well-prepared to harness the capabilities of AI to enhance their information processing skills, making them valuable assets in fields that require data-driven decision-making and practical problem-solving. The module will integrate critical assessment of employed AI tools with particular focus to ethical use, bias and inaccuracies.

Learning outcomes
On successful completion of the module students will:

• understand the role of generative AI as a central tool in information processing tasks
• be able to apply generative AI for a range of information processing tasks, with a focus on good quality prompt engineering, including practical experience using commercial tools and platformsÌý
• have the necessary skills to evaluate and test generative AI output for alignment, bias, correctness and appropriate, ethical use.

Additional information
Formative assessment will take the form of weekly individual and group activities, utilising and evaluating the use of generative AI for problem solving and information processing tasks. Students will be encouraged to share practice within small groups and to report back to the class.Ìý

Indicative readings may include:

• Cuenca, P. et al. (2024) Hands-On Generative AI with Transformers and Diffusion Models [Book]. Available at: https://www.oreilly.com/library/view/hands-on-generative-ai/9781098149239/
• Leo Porter and Daniel Zingaro Learn AI-Assisted Python Programming with GitHub Copilot and ChatGPT. https://www.manning.com/books/learn-ai-assisted-python-programming
• Babcock, J. and Bali, R. (2021) Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models. Packt Publishing Ltd.
• Cintas, A. (2023) Use Generative AI with Google Search. O’Reilly Media, Inc,