PPT: Introduction | Compiler Design - Computer Science Engineering (CSE) PDF Download

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Compiler course
1. Introduction
Page 2


Compiler course
1. Introduction
Outline
 Scope of the course
 Disciplines involved in it
 Abstract view for a compiler
 Front-end and back-end tasks
 Modules
Page 3


Compiler course
1. Introduction
Outline
 Scope of the course
 Disciplines involved in it
 Abstract view for a compiler
 Front-end and back-end tasks
 Modules
Course scope
 Aim:
– To learn techniques of a modern compiler
 Main reference:
– Compilers – Principles, Techniques and Tools, Second
Edition by Alfred V. Aho, Ravi Sethi, Jeffery D.
Ullman
 Supplementary references:
– Modern compiler construction in Java 2
nd
edition
– Advanced Compiler Design and Implementation by
Muchnick
Page 4


Compiler course
1. Introduction
Outline
 Scope of the course
 Disciplines involved in it
 Abstract view for a compiler
 Front-end and back-end tasks
 Modules
Course scope
 Aim:
– To learn techniques of a modern compiler
 Main reference:
– Compilers – Principles, Techniques and Tools, Second
Edition by Alfred V. Aho, Ravi Sethi, Jeffery D.
Ullman
 Supplementary references:
– Modern compiler construction in Java 2
nd
edition
– Advanced Compiler Design and Implementation by
Muchnick
Subjects
 Lexical analysis (Scanning)
 Syntax Analysis (Parsing)
 Syntax Directed Translation
 Intermediate Code Generation
 Run-time environments
 Code Generation
 Machine Independent Optimization
Page 5


Compiler course
1. Introduction
Outline
 Scope of the course
 Disciplines involved in it
 Abstract view for a compiler
 Front-end and back-end tasks
 Modules
Course scope
 Aim:
– To learn techniques of a modern compiler
 Main reference:
– Compilers – Principles, Techniques and Tools, Second
Edition by Alfred V. Aho, Ravi Sethi, Jeffery D.
Ullman
 Supplementary references:
– Modern compiler construction in Java 2
nd
edition
– Advanced Compiler Design and Implementation by
Muchnick
Subjects
 Lexical analysis (Scanning)
 Syntax Analysis (Parsing)
 Syntax Directed Translation
 Intermediate Code Generation
 Run-time environments
 Code Generation
 Machine Independent Optimization
Grading policy
 Midterm (4-5 points)
 Final exam (7-9 points)
 Home-works (2-3 points)
 Term project (4-5 points)
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FAQs on PPT: Introduction - Compiler Design - Computer Science Engineering (CSE)

1. What is Computer Science Engineering (CSE)?
Ans. Computer Science Engineering (CSE) is a field of engineering that focuses on the design, development, and implementation of computer systems and software. It involves the study of algorithms, programming languages, data structures, computer networks, and artificial intelligence.
2. What are the career prospects for Computer Science Engineering graduates?
Ans. Computer Science Engineering graduates have a wide range of career opportunities. They can work as software developers, system analysts, database administrators, network administrators, cybersecurity specialists, and artificial intelligence engineers. They can also pursue higher education and research in the field.
3. What are the important subjects in Computer Science Engineering?
Ans. Some important subjects in Computer Science Engineering include programming languages, data structures, computer networks, operating systems, database management systems, algorithms, software engineering, and artificial intelligence. These subjects provide a strong foundation for understanding and working in the field.
4. What skills are required to excel in Computer Science Engineering?
Ans. To excel in Computer Science Engineering, one should have a strong understanding of mathematics, logical reasoning, and problem-solving. Proficiency in programming languages like Java, C++, and Python is also essential. Additionally, skills in critical thinking, communication, teamwork, and adaptability are valuable in this field.
5. How can one prepare for the Computer Science Engineering entrance exams?
Ans. To prepare for Computer Science Engineering entrance exams, it is important to have a thorough understanding of the fundamental concepts of mathematics, physics, and computer science. Practicing previous years' question papers and taking mock tests can help in familiarizing with the exam pattern and improve time management skills. Additionally, referring to standard textbooks and online resources can provide comprehensive study material.
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