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CS1035: AI IN THE MODERN DAY (2026-2027)

Last modified: 14 Aug 2026 14:46


Course Overview

This course covers an introduction to AI topics and tools such as large language models, image generation and computer vision. The course will build intuitive understanding without requiring programming experienced or advanced maths. The focus is on developing the ability to use and understand these technologies in a productive, responsible and ethical manner.

Course Details

Study Type Undergraduate Level 1
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Mr Miles Everett

What courses & programmes must have been taken before this course?

  • Any Undergraduate Programme (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

AI has become the biggest development of the 2020’s, evolving from a niche area of research to being integrated into every part of our lives. While AI tools are increasingly easy to use, using them correctly and effectively is important. This course emphasises the role of AI to support our work to make us more productive, rather than replacing us. This course will also include guest lectures from a wide range of experts offering diverse perspectives.

This course will cover the following topics:

  • What is an LLM (Large Language Model e.g. ChatGPT, Gemini, Copilot)? How do they understand the world we live in?
  • Why LLMs can hallucinate
  • How to use LLMs productively
  • How to evaluate LLMs correctness
  • What is an image generation model?
  • The problems with image generation models
  • Ethics of LLMs and image generation models
  • Computer Vision and its applications to our lives
  • The pairing of Robots and AI

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2026 for Term 1 and Full Year courses and 8 January 2027 for Term 2 courses.

Summative Assessments

Oral Presentation: Group

Assessment Type Summative Weighting 50
Assessment Weeks 19 Feedback Weeks 21

Look up Week Numbers

Feedback

15-minute presentation of project worked on throughout semester.

Feedback will be provided on MyAberdeen.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualCreateDesign and communicate a proposal for the effective and responsible use of AI to address a problem or opportunity in a specific domain.
ConceptualUnderstandIdentify and justify appropriate uses of AI within a chosen disciplinary or professional context.
ProceduralCreateEvaluate the capabilities and limitations of AI tools, including issues of accuracy, bias, and reliability.
ReflectionAnalyseExplain key AI concepts and tools, and their role in society, with a focus on ethical, legal, and societal considerations.

Report: Group

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback

Report marking will contain peer-assessment.

Feedback will be provided on MyAberdeen, with comments and tips on how to improve as this will form the basis of the topic for the final group presentation.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualCreateDesign and communicate a proposal for the effective and responsible use of AI to address a problem or opportunity in a specific domain.
ConceptualUnderstandIdentify and justify appropriate uses of AI within a chosen disciplinary or professional context.
ProceduralCreateEvaluate the capabilities and limitations of AI tools, including issues of accuracy, bias, and reliability.
ReflectionAnalyseExplain key AI concepts and tools, and their role in society, with a focus on ethical, legal, and societal considerations.

Formative Assessment

There are no assessments for this course.

Resit Assessments

Report: Individual

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback

3,000-word resit report. Grades will be made available after the final exam meeting. Feedback is provided upon request.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ReflectionAnalyseExplain key AI concepts and tools, and their role in society, with a focus on ethical, legal, and societal considerations.
ProceduralCreateEvaluate the capabilities and limitations of AI tools, including issues of accuracy, bias, and reliability.
ConceptualUnderstandIdentify and justify appropriate uses of AI within a chosen disciplinary or professional context.
ConceptualCreateDesign and communicate a proposal for the effective and responsible use of AI to address a problem or opportunity in a specific domain.

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