Language Processors (CMPE424) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Language Processors CMPE424 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to provide necessary skills in developing a language processor as applied to compiler generation.
Course Learning Outcomes The students who succeeded in this course;
  • Use syntactic analyzers in the context of compiler construction
  • Appraise higher level programming languages concepts
  • Design a scanner and a parser as a part of a compiler
Course Content Fundamental concepts of compilation and interpretation; single-pass and multiple-pass language translators; lexical analyzer; top-down parsing, and LL(1) grammars; recursive descent method; bottom-up parsing; shift reduce technique; operator precedence grammar, LR(0) and SLR(1) grammars; syntax directed translation; error processing and recovery; s

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Compiling Chapter 1 (main text)
2 A Simple One-Pass Compiler Chapter 2
3 Lexical Analysis Chapter 3
4 Syntax Analysis Chapter 4
5 Syntax Directed Translation Chapter 5
6 Syntax Directed Translation Chapter 5
7 Type Checking Chapter 6
8 Run-time Environments Chapter 7
9 Run-time Environments Chapter 7
10 Run-time Environments Chapter 7
11 Intermediate Code Generation Chapter 8
12 Code Generation Chapter 9
13 Code Generation Chapter 9
14 Code Optimization Chapter 10
15 Review
16 Review

Sources

Course Book 1. Alfred V. Aho, Monica S. Lam, Ravi Sethi, Jeffrey D. Ullman, Compilers: Principles, Techniques, and Tools (2nd Edition), 2006, ISBN: 0321486811. (Dragon Book)
Other Sources 2. Steven Muchnick, Advanced Compiler Design and Implementation, 1997, Morgan Kaufmann Publishers, ISBN:1-55860-320-4.
3. Doug Brown, John Levine, Tony Mason, UNIX Programming Tools: Lex & Yacc, O’Reilly, 1992.
4. Dick Grune, Henri E. Bal, Ceriel J.H. Jacobs, and Koen Langendoen VU University Amsterdam, Amsterdam, The Netherlands. John Wiley & Sons, Ltd., pp. 736 + xviii; ISBN 0471976970, 2000.
5. http://dinosaur.compilertools.net/yacc/.
6. Andrew W. Appel, Jens Palsberg, “Modern Compiler Implementation in Java (2nd edition)”, Cambridge Univ. Press, ISBN-13: 9780521820608, 2002.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 15
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 30
Toplam 5 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 1 15 15
Report
Homework Assignments 2 5 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 130