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Formal Languages and Automata Theory, 6 credits
Formella språk och automatateori, 6 hp
TDDD14
Main field of study
Computer Science and Engineering Computer ScienceCourse level
First cycleCourse type
Programme courseExaminer
Johannes SchmidtDirector of studies or equivalent
Ahmed RezineEducation components
Preliminary scheduled hours: 50 hRecommended self-study hours: 110 h
ECV = Elective / Compulsory / Voluntary
Main field of study
Computer Science and Engineering, Computer ScienceCourse level
First cycleAdvancement level
G2XCourse offered for
- Computer Science and Engineering, M Sc in Engineering
- Industrial Engineering and Management - International, M Sc in Engineering
- Industrial Engineering and Management, M Sc in Engineering
- Mathematics, Master's programme
- Information Technology, M Sc in Engineering
- Computer Science and Software Engineering, M Sc in Engineering
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 coursesIntended 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;construct, understand and apply their formal descriptions.
- Describe relations between languages and language classes.
- Apply basic parsing methods.
- Explain the difference between decidable and undecidable problems.
Course content
Course content: Finite automata and regular expressions. Context-free grammars and pushdown automata. Deterministic context-free languages, LR parsing. Chomsky's hierarchy. Introduction to Turing Machines and
undecidability.
Teaching and working methods
The theory is presented during the lectures. Problem solving is practiced during the lessons.
Examination
| UPG1 | Assignments | 1 credits | U, G |
| TEN1 | Written examination | 5 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
| Supplementary courses: Compiler Construction, Complexity Theory, Rewriting Systems, Programming Theory, Logic, advanced course |
Department
Institutionen för datavetenskapDirector of Studies or equivalent
Ahmed RezineExaminer
Johannes SchmidtCourse website and other links
http://www.ida.liu.se/~TDDD14Education components
Preliminary scheduled hours: 50 hRecommended self-study hours: 110 h
Course literature
Additional literature
Books
- D. C. Kozen, (1997) Automata and Computability Springer Verlag
Other
Compendium, published at the homepage.
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| UPG1 | 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.
Additional literature
Books
D. C. Kozen, (1997) Automata and Computability Springer Verlag
Other
Compendium, published at the homepage.
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
|---|---|---|---|---|---|---|
| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
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X
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X
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TEN1
UPG1
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| 1.2 Fundamental engineering knowledge (G1X level) |
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X
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TEN1
UPG1
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
X
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X
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X
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TEN1
UPG1
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| 2.2 Experimentation, investigation, and knowledge discovery |
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| 2.3 System thinking |
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| 2.4 Attitudes, thought, and learning |
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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| 3.2 Communications |
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| 3.3 Communication in foreign languages |
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X
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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| 4.5 Implementing |
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| 4.6 Operating |
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| 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 |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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