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JC3001: ARTIFICIAL INTELLIGENCE FOUNDATION (2023-2024)

Last modified: 05 Oct 2023 08:46


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 Offshore Sustained Study No
Co-ordinators
  • Dr Tryphon Lambrou

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

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

  • Grand Challenges in AI
  • Approaches in AI: Symbolic; Sub-symbolic; Statistical learning; Cybernetic and integrated/combined agent
  • Search and adversarial search
  • Uncertainty
  • Introduction to Knowledge Representation and Reasoning (KRR)
  • Classical planning
  • Probabilistic reasoning
  • Simple/complex decision-making
  • Advanced directions

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

Exam

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralAnalyseStudents will develop the ability to think analytically and creatively about classic AI theories and techniques, including the ability to inter-relate problems, techniques/theories for their solutions
ProceduralApplyStudents will demonstrate an understanding of, and ability to apply, classic artificial intelligence theories and techniques.
ReflectionAnalyseStudents will demonstrate an ability to evaluate these and communicate their findings effectively at an appropriate level of technical depth
ReflectionEvaluateStudents will demonstrate the ability to apply relevant analysis techniques, and to contrast and compare A.I. techniques and their applicability to specific or classes of problems.
ReflectionEvaluateStudents will demonstrate an ability to perform an in-depth analysis of variants, combinations and extensions of classical A.I. techniques and theories, and an ability to evaluate these and communicat

Essay

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralAnalyseStudents will develop the ability to think analytically and creatively about classic AI theories and techniques, including the ability to inter-relate problems, techniques/theories for their solutions
ProceduralApplyStudents will demonstrate an understanding of, and ability to apply, classic artificial intelligence theories and techniques.
ReflectionAnalyseStudents will demonstrate an ability to evaluate these and communicate their findings effectively at an appropriate level of technical depth
ReflectionEvaluateStudents will demonstrate an ability to perform an in-depth analysis of variants, combinations and extensions of classical A.I. techniques and theories, and an ability to evaluate these and communicat
ReflectionEvaluateStudents will demonstrate the ability to apply relevant analysis techniques, and to contrast and compare A.I. techniques and their applicability to specific or classes of problems.

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
ProceduralApplyStudents will demonstrate an understanding of, and ability to apply, classic artificial intelligence theories and techniques.
ProceduralAnalyseStudents will develop the ability to think analytically and creatively about classic AI theories and techniques, including the ability to inter-relate problems, techniques/theories for their solutions
ReflectionEvaluateStudents will demonstrate the ability to apply relevant analysis techniques, and to contrast and compare A.I. techniques and their applicability to specific or classes of problems.
ReflectionEvaluateStudents will demonstrate an ability to perform an in-depth analysis of variants, combinations and extensions of classical A.I. techniques and theories, and an ability to evaluate these and communicat
ReflectionAnalyseStudents will demonstrate an ability to evaluate these and communicate their findings effectively at an appropriate level of technical depth

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