AI for Information
This course explores how artificial intelligence can support information gathering, analysis, and communication across academic and professional contexts. Students will learn how to use AI tools for summarising articles, identifying credible sources, fact-checking, and spotting bias or misinformation. The course also introduces AI-driven data analysis, visualisation, and content creation— including automated news writing and study organisation tools. With a strong emphasis on ethics, students will examine issues of privacy, reliability, and academic integrity.
Key Information
COURSE SYLLABUS
Course Syllabus
| Department | Technology |
| Course Length | 10 weeks |
| Live Lessons | One 45-minute lesson per week |
| Homework | Weekly mini assignments and one mini-project at the end of each course |
| Examination | None |
| Entry Requirements | None |
| Lesson 1 | AI for Research: Summarising articles and finding sources |
| Lesson 2 | Fact-checking with AI: Identifying bias and misinformation |
| Lesson 3 | Data Analysis: Using AI to interpret data sets and trends |
| Lesson 4 | AI in Journalism: Automated news writing and content curation |
| Lesson 5 | AI for Managing your Studies: Note-taking and organisation |
| Lesson 6 | Visualising Data: Creating charts and infographics with AI |
| Lesson 7 | Hands-on Practice: Real-world information projects |
| Lesson 8 | Ethics in Information AI: Data privacy, reliability and plagiarism |
| Lesson 9 | Mini-project guidance and independent working time |
| Lesson 10 | Mini-project showcase and reflection |