Course Title: Modern Programming Languages
Course Overview:
Modern Programming Languages is a course designed to introduce students to contemporary programming paradigms, language features, and design principles. The course covers a range of programming languages to provide a broad understanding of language concepts, syntax, semantics, and application domains. Students will explore functional, object-oriented, scripting, and concurrent programming languages, along with the concepts of language implementation and interoperability.
Course Objectives:
Understand the principles and characteristics of modern programming languages.
Explore different programming paradigms, including functional, object-oriented, and concurrent programming.
Learn about language syntax, semantics, and type systems.
Gain hands-on experience with programming languages through projects and exercises.
Understand language interoperability and integration with other technologies.
Develop problem-solving skills and programming proficiency in multiple languages.
Course Outline:
Introduction to Programming Languages
Overview of programming language concepts
Historical perspective and evolution of programming languages
Language classification and paradigms
Functional Programming Languages
Fundamentals of functional programming
Language features (e.g., first-class functions, immutability, higher-order functions)
Examples of functional languages (e.g., Haskell, Lisp, Scala)
Object-Oriented Programming Languages
Object-oriented principles and concepts
Class-based vs. prototype-based languages
Examples of object-oriented languages (e.g., Java, C++, Python)
Scripting Languages
Characteristics of scripting languages
Scripting for automation, web development, and data processing
Examples of scripting languages (e.g., JavaScript, Python, Ruby)
Concurrent and Parallel Programming
Introduction to concurrency and parallelism
Concurrency models (e.g., threads, processes, actors)
Concurrent programming in languages like Go, Erlang, or Java
Language Implementation
Lexical analysis and parsing
Intermediate representations and code generation
Interpretation vs. compilation
Language Interoperability
Interfacing with libraries and APIs
Integration with databases and external services
Cross-language interoperability (e.g., using C/C++ libraries in Python)
Project Work and Case Studies
Hands-on programming projects in various languages
Case studies of real-world applications and language usage
Analysis of language design choices and trade-offs
Assessment Methods:
Programming assignments and projects to assess practical skills.
Quizzes and exams covering language concepts and principles.
Language comparisons and analysis reports.
Participation in discussions, code reviews, and presentations.
Textbook:
“Programming Language Pragmatics” by Michael L. Scott
References:
“Structure and Interpretation of Computer Programs” by Harold Abelson and Gerald Jay Sussman
“Eloquent JavaScript” by Marijn Haverbeke
Online documentation and resources for specific languages covered in the course
This course structure aims to provide students with a comprehensive understanding of modern programming languages, preparing them for diverse programming challenges and opportunities in software development.
Admission Open for this course
Contact Number: 03307615544