Total Credits: 10
Level: Level 2
Target Students: Part I undergraduate students in the School of Computer Science. Also available to students from other Schools with the agreement of the module convenor. Available to JYA/Erasmus students.
|Spring||Assessed by end of Spring Semester|
|G51FUN||Introduction to Functional Programming|
|G51MCS||Mathematics for Computer Scientists|
|G51PRG||Introduction to Programming|
Summary of Content:
This module is part of the Foundations of Computer Science theme in the School of Computer Science.
A series of abstract machines, classes of formal languages, and their relation is investigated, along with important practical applications of this theory, in particular language recognition (lexical and syntactic analysis). Ultimately the investigations touch on the question of what can and cannot be computed. Topics covered include: finite state machines, regular expressions, context-free grammars, push-down automata, parsing, and Turing machines.Module Web Links:
Method and Frequency of Class:
|Activity||Number Of Weeks||Number of sessions||Duration of a session|
|Lecture||11 weeks||2 per week||1 hour|
Method of Assessment:
|Exam 1||75||2 hr written examination|
|Coursework 1||25||Problem sheets with theoretical and small programming problems|
Dr V Capretta
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: Uderstanding 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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