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Last modified: 30 Apr 2026 12:46
Discover the world of Artificial Intelligence in this accessible course for all disciplines. Explore key AI concepts, including machine learning, NLP, and computer vision, and learn how AI is applied across industries. Through lectures and hands-on activities, you will build practical skills, examine ethical impacts, and gain a solid foundation for further study or careers in this rapidly evolving field.
| Study Type | Undergraduate | Level | 2 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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Explore the fascinating world of Artificial Intelligence (AI) in this course designed for students from all academic backgrounds. This course offers a comprehensive yet accessible overview of AI. It introduces the core concepts, principles, and techniques of AI in an engaging way. No prior programming or technical experience is required.
Through a blend of lectures and practical sessions, students will learn about:
• The history and evolution of AI
• Key AI techniques such as machine learning, natural language processing, and computer vision
• Real-world applications of AI across various industries
• Ethical considerations and societal impacts of AI
The course also emphasises hands-on learning, allowing students to experiment with AI tools and work on practical projects that bridge the gap between theory and practice.
By the end of the course, students will gain a foundational understanding of AI and its impact, preparing them for further study or a career in this rapidly evolving field.
Topics
• Introduction to AI and machine learning concepts.
• Data collection, data cleaning and labelling.
• Feature extraction.
• Natural Language Processing.
• Computer vision and image processing.
• Model evaluation and metrics.
• AI ethics and fairness.
• Generative AI and creativity.
• Real world AI applications.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 30 | |
|---|---|---|---|---|
| Assessment Weeks | 28,29,30,31,32,33,34,38,39,40 | Feedback Weeks | 29,30,31,32,33,34,35,39,40,41 | |
| Feedback |
Equally weighted. Automated feedback provided through MyAberdeen. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Identify and explain core AI concepts and techniques, including machine learning, natural language processing, and computer vision, using non-technical language. |
| Factual | Evaluate | Evaluate a range of real-world applications of AI across different sectors such as healthcare, finance, education, and the arts. |
| Procedural | Apply | Use accessible AI tools to carry out basic tasks and experiments, demonstrating an understanding of how AI systems are trained and applied. |
| Reflection | Analyse | Reflect on the opportunities and challenges posed by AI in modern society, and consider how AI may influence their own field of study or future career. |
| Reflection | Analyse | Discuss ethical, legal, and societal implications of AI, including issues such as bias, privacy, automation, and accountability. |
| Assessment Type | Summative | Weighting | 70 | |
|---|---|---|---|---|
| Assessment Weeks | 41,42 | Feedback Weeks | 47 | |
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Identify and explain core AI concepts and techniques, including machine learning, natural language processing, and computer vision, using non-technical language. |
| Factual | Evaluate | Evaluate a range of real-world applications of AI across different sectors such as healthcare, finance, education, and the arts. |
| Procedural | Apply | Use accessible AI tools to carry out basic tasks and experiments, demonstrating an understanding of how AI systems are trained and applied. |
| Reflection | Analyse | Discuss ethical, legal, and societal implications of AI, including issues such as bias, privacy, automation, and accountability. |
| Reflection | Analyse | Reflect on the opportunities and challenges posed by AI in modern society, and consider how AI may influence their own field of study or future career. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | 50,51 | Feedback Weeks | ||
| Feedback |
Automatic feedback provided through MyAberdeen. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Identify and explain core AI concepts and techniques, including machine learning, natural language processing, and computer vision, using non-technical language. |
| Factual | Evaluate | Evaluate a range of real-world applications of AI across different sectors such as healthcare, finance, education, and the arts. |
| Procedural | Apply | Use accessible AI tools to carry out basic tasks and experiments, demonstrating an understanding of how AI systems are trained and applied. |
| Reflection | Analyse | Discuss ethical, legal, and societal implications of AI, including issues such as bias, privacy, automation, and accountability. |
| Reflection | Analyse | Reflect on the opportunities and challenges posed by AI in modern society, and consider how AI may influence their own field of study or future career. |
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