Catalogue of Modules, University of Nottingham

G52MAL Machines and their Languages
(Last Updated:03 May 2017)

Year  17/18

Total Credits: 10

Level: Level 2

Target Students:  Part I undergraduate students in the School of Computer Science only.

This module is part of the Foundations of Computer Science theme in the School of Computer Science.

Availability:  Module is dormant in 17/18 academic year.

Taught Semesters:

SemesterAssessment
Spring Assessed by end of Spring Semester 

Prerequisites: G51FUN Introduction to Functional Programming (2104-15)
G51PRG Introduction to Programming (up to 2014-15)
G51MFC Mathematical Foundations of Computer Science (2014-15)

Corequisites:  None.

Summary of Content:  You’ll investigate classes of formal language and the practical uses of this theory, applying this to a series of abstract machines. You’ll focus in particular on language recognition, but will study a range of topics including: finite state machines; regular expressions; context-free grammars; and Turing machines. You’ll spend around two hours per week in lectures studying for this module. Module Web Links:
   
  • Reading List
  • Method and Frequency of Class:

    ActivityNumber Of WeeksNumber of sessionsDuration of a session
    Lecture 10 weeks2 per week1 hour

    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

    Further Activity Details:
    Plus three problem classes spread over ten weeks to cover non-assessed coursework.

    Method of Assessment: 

    Assessment TypeWeightRequirements
    Exam 1 75 2 hr written examination 
    Coursework 1 25 Problem sheets with theoretical and small programming problems 

    Convenor: 
    Dr H Nilsson

    Education Aims:  To make the students conversant with central concepts of formal language and automata theory, such as finite automata and context-free grammars, and their applications. To give an introduction to computability theory.

    Learning Outcomes:  Knowledge and Understanding:
    Understanding of the equivalence between machine types and language types; the nature of formal languages and their specification by grammars and other notations; the practical and theoretical relevance of machines that process strings from an alphabet of symbols as models of computation; and the fundamental limits on what is computable by any machine.

    Intellectual Skills:
    Apply and deploy mathematical ability, practices and tools; understand complex ideas and relate them to specific problems or questions.

    Professional Skills:
    Understanding and ability to apply techniques for language specification.

    Transferable Skills:
    The ability to use mathematics to solve problems.

    Offering School:  Computer Science


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