Formal Languages and Compilers

Language of Instruction:Czech
Public info:http://www.fit.vutbr.cz/study/courses/IFJ/public/
Completion:credit+exam (written)
Type of
Guarantor:Meduna Alexander, prof. RNDr., CSc. (DIFS)
Lecturer:Burgetová Ivana, Ing., Ph.D. (DIFS)
Křivka Zbyněk, Ing., Ph.D. (DIFS)
Meduna Alexander, prof. RNDr., CSc. (DIFS)
Instructor:Křena Bohuslav, Ing., Ph.D. (DITS)
Křivka Zbyněk, Ing., Ph.D. (DIFS)
Křoustek Jakub, Ing. (DIFS)
Kučera Jiří, Ing. (DIFS)
Navrátil Ondřej, Ing. (DIFS)
Vrábel Lukáš, Ing. (DIFS)
Zemek Petr, Ing. (DIFS)
Faculty:Faculty of Information Technology BUT
Department:Department of Information Systems FIT BUT
Discrete Mathematics (IDA), DMAT
Principles of Programming Languages (IPP), DIFS
Learning objectives:
  Familiarity with formal languages and their models. Grasp of compiler construction.
  This course discusses formal languages and their models. Based on these models, it explains the construction of compilers. The lectures are organized as follows: (I) Basic notions: formal languages and their models, grammars, automata; compilers. (II) Regular languages and lexical analysis: regular languages and expressions, finite automata and transducers, lexical analyzer; Lex; symbol table. (III) Context-free languages and syntax analysis: context-free grammars, pushdown automata and transducers, deterministic top-down syntax analysis (recursive descent), the essence of deterministic bottom-up syntax analysis; Yacc. (IV) Semantic analysis and code generation: semantic checks, intermediate code generation, optimization, code generation.
Knowledge and skills required for the course:
  Knowledge of discrete mathematics.
Learning outcomes and competencies:
  Fundamental familiarity with the theory of formal languages. Ability of a compiler construction.
Syllabus of lectures:
  • Formal languages.
  • Translation of languages and the structure of a compiler.
  • Regular languages and their models: regular expressions and finite automata.
  • Lexical analysis: lexical analyzer; Lex; symbol table.
  • Context-free languages and their models: context-free grammars and pushdown automata.
  • Syntax analysis: deterministic syntax analysis, FIRST and FOLLOW, LL and LR grammars.
  • Deterministic top-down syntax analysis: recursive descent.
  • Deterministic bottom-up syntax analysis: simple precedence analysis, LR analysis; Yacc.
  • Semantic analysis and intermediate form generation.
  • Optimization.
  • Code generation.
  • Chomsky hierarchy and the corresponding models.
  • Remarks and summary. Preliminary discussion of the VYPe contents.
Syllabus - others, projects and individual work of students:
 Students in teams (3 through 5 students per a team) implement a compiler/interpreter of a simple programming language (including a documentation).
Fundamental literature:
  • Parsons, T. W.: Introduction to Compiler Construction. Freeman, New York, 1992.
Study literature:
  • copy of lectures
  • Meduna, A.: Automata and Languages. London, Springer, 2000.
  • Meduna, A.: Elements of Compiler Design. New York, US, Tailor & Francis, 2008.
Controlled instruction:
  The midterm test takes place approximately in the middle of the semester without a spare or correction term (20 points). To apply theoretical knowledge, students work on a team project (25 points). Continuously, the team leader checks team's progress. Finally, there is a final exam with two correction terms (55 points).
Progress assessment:
There is a midterm test for 20 points without a spare or correction term. Students solve one team project during the semester (25 points) that is handed over before given deadline.
Exam prerequisites:
  To be allowed to take the final written exam, the student has to obtain 20 points during the semester; out of these 20 points, at least five points has to be obtained for the programming part of the project.

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