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Objectives of Principles of Programming Languages
- Helps a student understand syntax, semantics of programming languages.
- This helps to analyze data, type of data, basic statements and call return architecture and ways to implement them.
- Helps in understanding more about object orientation, concurrency, event handling.
- Helps to develop programs in non-procedural programming paradigms.
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- Robert W. Sebesta, “Concepts of Programming Languages”, Tenth Edition, Addison Wesley, 2012.
- Programming Languages, Principles & Paradigms, 2ed, Allen B Tucker, Robert E Noonan, TMH
- R. Kent Dybvig, “The Scheme programming language”, Fourth Edition, MIT Press, 2009.
- Jeffrey D. Ullman, “Elements of ML programming”, Second Edition, Prentice Hall, 1998.
- Richard A. O’Keefe, “The craft of Prolog”, MIT Press, 2009.
- W. F. Clocksin and C. S. Mellish, “Programming in Prolog: Using the ISO Standard”, Fifth Edition, Springer, 2003
Syntax and semantics: Evolution of programming languages, describing syntax, context, free grammars, attribute grammars, describing semantics, lexical analysis, parsing, recursive – decent bottom-up parsing
Data, data types, and basic statements: Names, variables, binding, type checking, scope, scope rules, lifetime and garbage collection, primitive data types, strings, array types, associative arrays, record types, union types, pointers and references, Arithmetic expressions, overloaded operators, type conversions, relational and boolean expressions , assignment statements , mixed mode assignments, control structures – selection, iterations, branching, guarded Statements
Subprograms and implementations: Subprograms, design issues, local referencing, parameter passing, overloaded methods, generic methods, design issues for functions, the semantics of call and return, implementing simple subprograms, stack and dynamic local variables, nested subprograms, blocks, dynamic scoping
Object- orientation, concurrency, and event handling: Object – orientation, design issues for OOP languages, implementation of object, oriented constructs, concurrency, semaphores, Monitors, message passing, threads, statement level concurrency, exception handling, event handling
Functional programming languages: Introduction to lambda calculus, fundamentals of functional programming languages, Programming with Scheme, – Programming with ML,
Logic programming languages: Introduction to logic and logic programming, – Programming with Prolog, multi-paradigm languages
- How do you describe the meanings of programs using dynamic semantics?
- Explain in detail about recursive descent parsing.
- Give an example of a left-recursive rule in CFG. What is the significance of the left Recursive rule?
- Explain about the following
i) associative arrays ii) union types
- State whether the static binding is more reliable or dynamic binding. Justify.
- Define a function. What are the design issues for functions? Explain.
- Explain how a subprogram is overloaded? Give examples.
- Compare and contrast the cooperation synchronization and competition synchronization in message passing.
- Explain the basic concepts of exception handling.
- How is ML different from other functional programming languages?
- Why were imperative features added to most dialects of LISP?
- Explain how RDBMS and expert systems are helped using logic programming.
- Discuss Terms and Goal statements in Prolog with examples.