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CS3033: ARTIFICIAL INTELLIGENCE (2022-2023)

Last modified: 24 Oct 2022 16:00


Course Overview

The course provides an introduction to Artificial Intelligence (AI). It discusses fundamental problems of AI and their computational solution via key concepts. 



Course Details

Study Type Undergraduate Level 3
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Professor Felipe Meneguzzi

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

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

The course provides an introduction to Artificial Intelligence (AI). It discusses fundamental problems of AI and their computational solution via key concepts. 

Content: Introduction and Agents; Uninformed search. Search; Informed search; Adversarial Search; Constraint Satisfaction Problems; Logical Agents, propositional reasoning; Probabilistic Reasoning under Uncertainty; Planning; Symbolic Machine Learning; Neural Nets. 


Details for second half-session courses, including assessments, may be subject to change until 23 December 2022.

Contact Teaching Time

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

Teaching Breakdown

  • 2 Lectures during University week s 8 - 18
  • 1 Practical during University week s 9 - 18

More Information about Week Numbers


Details for second half-session courses, including assessments, may be subject to change until 23 December 2022.

Summative Assessments

Exam

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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2 hour exam - December exam diet

Written feedback

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralEvaluateAbility to analyze and evaluate proposed AI solutions in their context
ReflectionCreateAbility to apply AI concepts, techniques, and tools to creatively solve problems

Programming Assignment (Python)

Assessment Type Summative Weighting 50
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

Exam

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
ReflectionCreateAbility to apply AI concepts, techniques, and tools to creatively solve problems
ProceduralEvaluateAbility to analyze and evaluate proposed AI solutions in their context
ConceptualUnderstandUnderstanding of major issues, problems, solutions, and concepts in AI

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