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CS3033: ARTIFICIAL INTELLIGENCE (2021-2022)

Last modified: 31 May 2022 13:05


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
  • Dr Mingjun Zhong
  • Dr Shouyong Jiang

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

  • 1 Practical during University weeks 9 - 19

More Information about Week Numbers


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

Summative Assessments

Alternative Assessment

Critical essay and problem solving exercise 50%

Exam 50%

Alternative Resit Assessment

Where a student fails the course overall they will be afforded the opportunity to resit those parts of the course that they failed (pass marks will be carried forward).

 

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

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

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