Postgraduate Course: AI in Action (CMSE11702)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | Combining theoretical insights with hands-on projects and practical activities, the course provides an opportunity to explore several aspects of human-AI interaction in various activities. |
| Course description |
The course AI in action provides a unique opportunity for students to engage in with hands-on projects and practical activities that will support the development of a critical understanding of the appropriateness and effectiveness of AI technologies across various contexts. Students actively participate in analysis considering the efficiency of AI in diverse modes of interaction, and critically evaluate the human role in AI-supported tasks. They gain insights into the role of AI in several activities and contexts, the role of humans in AI-supported activities, and practical strategies in human-AI interactions.
Outline content:
The role of AI in several contexts.
The role of humans in AI-supported activities.
Practical strategies in human-AI interaction.
Student learning experience:
This seminar-based course places students at the centre of the learning experience. It proposes problem-solving, discussions and reflections to foster a thorough exploration of relevant topics and a deep understanding, enabling students to effectively employ the insights from the course in their professional practices.
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Course Delivery Information
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| Academic year 2026/27, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Block 2 (Sem 1) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Seminar/Tutorial Hours 15,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
83 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
100% (Individual) Portfolio - Assesses all course Learning Outcomes |
| Feedback |
Formative: Feedback will be provided throughout the course.
Summative: Feedback will be provided on assessment within agreed deadlines. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Develop a critical understanding of the appropriateness and effectiveness of AI technologies across various contexts.
- Appreciate and analyse the efficiency of AI in diverse modes of interaction.
- Critically evaluate human-AI interactions in AI-supported tasks.
- Develop a critical understanding of how cognitive biases shape human-AI interactions and AI-supported outcomes
- Critically consider ethical aspects of AI application in several contexts
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Additional Information
| Graduate Attributes and Skills |
Practice: Applied Knowledge, Skills and Understanding
After completing this course, students should be able to:
Work with a variety of organisations, their stakeholders, and the communities they serve - learning from them, and aiding them to achieve responsible, sustainable and enterprising solutions to complex problems.
Communication, ICT, and Numeracy Skills
After completing this course, students should be able to:
Convey meaning and message through a wide range of communication tools, including digital technology and social media; to understand how to use these tools to communicate in ways that sustain positive and responsible relationships.
Critically evaluate and present digital and other sources, research methods, data and information; discern their limitations, accuracy, validity, reliability and suitability; and apply responsibly in a wide variety of organisational contexts. |
| Keywords | Artificial Intelligence,Practice,Human-AI interaction |
Contacts
| Course organiser | Dr Jordana Viotto Da Cruz
Tel:
Email: Jordana.Viotto@ed.ac.uk |
Course secretary | |
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