Compilers and Interpreters, 4 credits
Kompilatorer och interpretatorer, 4 hp
TDDD55
Main field of study
Information Technology Computer Science and EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Martin SjölundDirector of studies or equivalent
Ahmed RezineEducation components
Preliminary scheduled hours: 32 hRecommended self-study hours: 75 h
Available for exchange students
YesMain field of study
Information Technology, Computer Science and EngineeringCourse level
First cycleAdvancement level
G2XCourse offered for
- Computer Engineering, B Sc in Engineering
- Programming
- 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
- Information Technology, M Sc in Engineering
Specific information
Overlapping course contents: TDDB44
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
Participants are expected to have knowledge of: a procedural programming language such as Pascal, internal data structures such as arrays and lists, and theory and implementation of abstract data types.
Intended learning outcomes
The aim of this course is to give a basic introduction to the theoretical and practical issues underlying the design and implementation of compilers. After the completion of the course you should be able to:
- explain and apply fundamental principles and techniques of compiler design
- explain and use methods for lexical analysis, top-down and bottom-up parsing
- explain and use methods for basic semantic analysis and syntax-directed translation
- construct and implement a top-down parser for a given context-free grammar,
- use a generator to build a lexical analyzer, apply a parser generator, and
- implement simple intermediate code generation from abstract syntax trees
Course content
Different types of translators such as compilers and preprocessors. Grammars and formal languages. Lexical and syntax analysis. Intermediate code generation. The course also gives a brief introduction to: Memory management and run-time organization. Code generation and code optimization. Basic usage of compiler construction tools. Criteria for language design. The labs contain exercises in hand-implementation and usage of tools for construction of smaller parts of a compiler, such as lexer, parser, generation of intermediate code.
Teaching and working methods
The theory is presented during the lectures. The laboratory assignments consists of building compiler components such as syntactical and lexical analysers.
Examination
LAB1 | Laboratory work | 2 credits | U, G |
TEN1 | Written examination | 2 credits | U, 3, 4, 5 |
The questions in the written exam check how well the student has fulfilled the learning goals of the course. For passing the exam, deficits in fulfilling certain partial goals can be balanced by a better fulfilling of other partial goals.
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för datavetenskapDirector of Studies or equivalent
Ahmed RezineExaminer
Martin SjölundEducation components
Preliminary scheduled hours: 32 hRecommended self-study hours: 75 h
Course literature
Additional literature
Books
- Aho, Lam, Sethi, Ullman, (2006) Compilers - Principles, techniques, and tools Second edition Addison-Wesley
Compendia
Code | Name | Scope | Grading scale |
---|---|---|---|
LAB1 | Laboratory work | 2 credits | U, G |
TEN1 | Written examination | 2 credits | U, 3, 4, 5 |
The questions in the written exam check how well the student has fulfilled the learning goals of the course. For passing the exam, deficits in fulfilling certain partial goals can be balanced by a better fulfilling of other partial goals.
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
Compendia
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) |
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1.2 Fundamental engineering knowledge (G1X level) |
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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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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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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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