Digital and information skills

This workshop is an introduction to large language model (text-based) generative AI tools. We will explore a selection of platforms and their practical applications. We introduce techniques to create more effective prompts to use when interacting with AI tools and discuss how AI might be used responsibly and ethically.

By the end of this session you will be able to:

• Identify the key features of notable text-based generative AI tools.
• Develop effective prompts for engaging with these generative AI tools.
• Apply knowledge of generative AI tools responsibly for tasks and learning.
• Understand the importance of using generative AI in the context of college and departmental guidance.

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Graduate School 

An introduction to the types of company, financial and industry information available. The session includes financial statements, company profiles, reports, share price and other financial data. Find out about some of the best databases available through Library Services and learn useful search techniques. 

By the end of this session you will be able to:

• identify the best resources for company, financial and industry information offered by Library Services
• find specific databases for your topic
• develop a search strategy to uncover relevant information

This workshop is a general introduction to academic databases and using search tools such as Web of Science, Engineering Village, PubMed, and Google Scholar to find high quality academic research to support your project work and assignments.  You will have an opportunity to practice using these databases in the session.

In this session we will cover the basics of organising and managing research materials that will help you now and in the future. Whether you have created data yourself or are reusing data from existing resources, making sure research materials are well managed can help prevent loss, ensure research transparency and reproducibility, and enable data sharing and reuse.

By the end of this session you will be able to:

• understand what Research Data Management is and why it is important
• use practical skills and tips for managing research materials that can be applied to your own work
• find where to go for advice in the future