Formal Languages and Automata Theory, 6 credits

Formella språk och automatateori, 6 hp

TDDD85

Course starting semester

Main field of study

Computer Science and Engineering Computer Science

Course level

First cycle

Course type

Programme course

Examiner

Johannes Schmidt

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 50 h
Recommended self-study hours: 110 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CMJU	Computer Science and Software Engineering, M Sc in Engineering	2 (Spring 2017)	2	2	Swedish/English	Linköping, Valla	C

Main field of study

Computer Science and Engineering, Computer Science

Course level

First cycle

Advancement level

G1X

Course offered for

Computer Science and Software Engineering, M Sc in Engineering

Specific information

This course is not available for exchange students

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Basic mathematics, for instance given by discrete mathematics courses

Intended learning outcomes

This course will give an introduction to formal languages and automata theory. Automata and formal languages appear (possibly in various disguises) in almost every branch of computer science. Having completed the course the student will be able to:

Deal with regular and context-free languages; explain and analyse their descriptions.
Describe relations between languages and language classes.
Apply basic parsing methods.
Explain Turing machines.

Course content

Finite automata and regular expressions. Context-free languages and pushdown automata. Deterministic context-free languages, LR parsing. Chomsky's hierarchy. Introduction to Turing machines.

Teaching and working methods

The theory is presented during the lectures. Problem solving is practiced during the lessons.

Examination

UPG2	Compulsory lab assignments	1 credits	U, G
TEN1	Written examination	5 credits	U, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses:
Compiler Construction, Complexity Theory, Rewriting Systems, Programming Theory, Logic, advanced course

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Johannes Schmidt

Education components

Preliminary scheduled hours: 50 h
Recommended self-study hours: 110 h

Course literature

D. C. Kozen, Automata and Computability, 1997, Springer Verlag. Kompendium, publiceras på webben.

Code	Name	Scope	Grading scale
UPG2	Compulsory lab assignments	1 credits	U, G
TEN1	Written examination	5 credits	U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Course literature is preliminary.

D. C. Kozen, Automata and Computability, 1997, Springer Verlag. Kompendium, publiceras på webben.

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A	Modules
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)		X	X	TEN1 UPG2
	1.2 Fundamental engineering knowledge (G1X level)		X		TEN1 UPG2
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving	X	X	X	TEN1 UPG2
	2.2 Experimentation, investigation, and knowledge discovery
	2.3 System thinking
	2.4 Attitudes, thought, and learning
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork
	3.2 Communications
	3.3 Communication in foreign languages			X
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management
	4.4 Designing
	4.5 Implementing
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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