Introduction to the Theory of Computation, 6 credits
Introduction to the Theory of Computation, 6 hp
TDDD65
Main field of study
Computer Science and Engineering Computer ScienceCourse level
First cycleCourse type
Programme courseExaminer
Christer BäckströmDirector of studies or equivalent
Ahmed RezineEducation components
Preliminary scheduled hours: 54 hRecommended self-study hours: 106 h
Course offered for | Semester | Period | Timetable module | Language | Campus | ECV | |
---|---|---|---|---|---|---|---|
6MICS | Computer Science, Master's Programme | 1 (Autumn 2017) | 1, 2 | 2, 1 | English | Linköping, Valla | C |
Main field of study
Computer Science and Engineering, Computer ScienceCourse level
First cycleAdvancement level
G2XCourse offered for
- Computer Science, Master's Programme
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 course in discrete mathematics. Basic course in algorithms and data structures.Intended learning outcomes
During this course the students will learn concepts and techniques of formal languages, automata, computability and complexity, relevant for the engineering practice. They are applied, among others, in systems modeling and verification and in compiler construction. They also allow to reason if a computational problem at hand can be solved at all and if it has an efficient solution. After this course, a student will be able to use techniques of:
- formal language definition by accepting automata and by formal grammars,
- transformation of such definitions,
- analysis of decidability of algorithmic problems
- complexity analysis.
- the basic rules and regulations for advanced studies and how to apply the ethical code of academia in their own studies,
- the requirements of reports and exams in their education.
Course content
- Finite automata and regular languages.
- Push-down automata and Context-free languages.
- Turing Machines and Church-Turing Thesis.
- The notion of decidability; important undecidable problems.
- Techniques for checking undecidability.
- Big-Oh-notation, techniques for analysis of algorithms.
- Time complexity classes P, NP.
- NP-completeness and its practical relevance.
- Basics of space complexity.
Teaching and working methods
Lectures present the theory and seminars are devoted to problem solving.
The course runs over the entire autumn semester.
Examination
UPG3 | Assignments - computation | 1 credits | U, G |
UPG2 | Assignments - academic studies | 2 credits | U, G |
TEN1 | Written examination | 3 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplemenatary courses: Compiler construction
Department
Institutionen för datavetenskapDirector of Studies or equivalent
Ahmed RezineExaminer
Christer BäckströmCourse website and other links
http://www.ida.liu.se/~TDDD65/Education components
Preliminary scheduled hours: 54 hRecommended self-study hours: 106 h
Course literature
Additional literature
Books
- Michael Sipser, (2006) Introduction to the Theory of Computation 2nd edition
- Thomas A. Sudkamp, (2006) Languages and Machines 3d edition
Code | Name | Scope | Grading scale |
---|---|---|---|
UPG3 | Assignments - computation | 1 credits | U, G |
UPG2 | Assignments - academic studies | 2 credits | U, G |
TEN1 | Written examination | 3 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
Note: The course matrix might contain more information in Swedish.
I | U | A | Modules | Comment | ||
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1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
1.1 Knowledge of underlying mathematics and science (G1X level) |
X
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X
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TEN1
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1.2 Fundamental engineering knowledge (G1X level) |
X
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X
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X
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TEN1
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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 |
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X
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X
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TEN1
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2.2 Experimentation, investigation, and knowledge discovery |
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X
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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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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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