Catalogue of Modules, University of Nottingham

G53CMP Compilers
(Last Updated:27 May 2017)

Year  16/17

Total Credits: 10

Level: Level 3

Target Students:  Part II undergraduate students in the School of Computer Science. Also available to students from other Schools with the agreement of the module convenor.

This module is part of the Programming theme in the School of Computer Science.  Available to JYA/Erasmus students.

Taught Semesters:

Autumn Assessed by end of Autumn Semester 

Prerequisites: G51FUN Introduction to Functional Programming (2014-15)

G52LAC Languages and Computation 

Corequisites:  None.

Summary of Content:  You’ll examine aspects of language and compiler design by looking at the techniques and tools that are used to construct compilers for high level programming languages. Topics covered include: parsing; types and type systems; run-time organisation; memory management; code generation; and optimisation. You’ll spend around four hours each week in lectures and computer classes for this module.

Method and Frequency of Class:

ActivityNumber Of WeeksNumber of sessionsDuration of a session
Lecture 11 weeks2 per week1 hour
Computing 11 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 75 2 hr written examination 
Coursework 1 25 Written reports 

Dr H Nilsson

Education Aims:  To provide an understanding of how compilers work and how they are constructed.

Learning Outcomes:  Knowledge and Understanding:
Knowledge of language and compiler design.
Understanding of the problems to be faced and the techniques and tools which may be used in the construction of medium sized programs.

Intellectual Skills:
The ability to define and construct syntax-directed translation schemes and specifications.
Understand complex ideas and relate them to specific problems or questions.
The ability to gather information on and analyse the structure of medium sized computer programs.

Professional Skills:
Programming in various paradigms.
Comprehend and apply software engineering methodologies, in particular capturing design through formal specifications and deriving implementations from those.
Evaluate available tools, applications, algorithms and data structures, and select those that are fit for purpose within a given domain, in particular tools for syntax analysis and syntax-directed translation.

Transferable Skills:
The ability to use mathematics to solve problems and write detailed reports on the solutions adopted.

Offering School:  Computer Science

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