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CS5022: APPLIED ARTIFICIAL INTELLIGENCE (2020-2021)

Last modified: 05 Aug 2021 13:04


Course Overview

This course will allow students to use cutting-edge AI technologies to investigate the creation and application of AI systems. Such tools include deep learning libraries and simulation environments.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr N. Oren

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

  • Any Postgraduate Programme

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

On this module students will apply the theoretical and practical knowledge they have gained on previous modules to undertake several AI mini-projects. Each project will exercise a different AI application library (e.g., TensorFlow, PyTorch or Keras), and students will therefore understand how AI techniques e.g., classifier and neural network systems, reinforcement learning systems and simulation/evaluation systems, can be combined to create an end-to-end deployable AI solution.


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 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Coursework – Computer Programming Exercise (x3)

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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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

Formative Assessment

There are no assessments for this course.

Resit Assessments

Resubmission of three failed assessments.

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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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
ConceptualUnderstandStudents will understand how libraries for AI system creation are applied and used in practice.
ConceptualApplyStudents will be able to combine different components into an end-to-end solution.
ConceptualEvaluateStudents will be able to validate the effectiveness of their solution.
ConceptualApplyStudents will be able to document – in a reproducible manner – their approach to AI system construction.
ReflectionEvaluateStudents will be able to reflect and modify their design in response to validation of an AI system’s performance.
ReflectionAnalyseStudents will reflect on their new knowledge and apply it to a practical example.

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