Catalogue of Modules, University of Nottingham

G51IAI Introduction to Artificial Intelligence
(Last Updated:03 May 2017)

Year  14/15

Total Credits: 10

Level: Level 1

Target Students:  Qualifying year undergraduate students in the School of Computer Science.

This module is part of the AI, Modelling and Optimisation theme in the School of Computer Science.

Taught Semesters:

Spring Assessed by end of Spring Semester 


G51MFC Mathematical Foundations of Computer Science 

Corequisites:  None.

Summary of Content:  Through a two hour lecture once a week, this module gives you a broad overview of the fundamental theories and techniques of Artificial Intelligence (AI). You’ll explore how computers can produce intelligent behaviour, and will consider topics such as the history of AI, AI search techniques, neural networks, data mining, game playing techniques, philosophical and ethical issues, and knowledge representation and reasoning. Module Web Links:
  • Reading List
  • Method and Frequency of Class:

    ActivityNumber Of WeeksNumber of sessionsDuration of a session
    Lecture 12 weeks1 per week2 hours

    Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

    Method of Assessment: 

    Assessment TypeWeightRequirements
    Exam 1 100 2 hr written examination 

    Dr R Qu

    Education Aims:  To introduce students to Artificial Intelligence, its history and some key AI techniques.

    Learning Outcomes:  Knowledge and Understanding:
    Knowledge of key AI techniques.

    Intellectual Skills:
    The ability to think independently while giving due weight to the arguments of others.
    The ability to analyse algorithms.

    Professional Skills:
    The ability to evaluate available AI techniques and select those appropriate to a given problem.

    Transferable Skills:
    The ability to solve problems and communicate effectively in writing.

    Offering School:  Computer Science

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