C PP Final Project The project of Programming Paradigms module consists of the development of a complete compiler for a (source) language that you may define yourself, as long as certain minimal criteria are met. The tar- get machine for compilation is a realistic, though non-existent processor called SPROCKELL, for which a hardware-level simulator is […]
David Liben-Nowell Department of Computer Science Carleton College Discrete Mathematics for Computer Science or (A Bit of) The Math that Computer Scientists Need to Know 1 VP AND EDITORIAL DIRECTOR SENIOR DIRECTOR ACQUISITIONS EDITOR EDITORIAL MANAGER CONTENT MANAGEMENT DIRECTOR CONTENT MANAGER SENIOR CONTENT SPECIALIST PRODUCTION EDITOR PHOTO RESEARCHER COVER PHOTO CREDIT Laurie Rosatone Don Fowley
CS 461 Programming Language Concepts Gang Tan Computer Science and Engineering Penn State University Functions and Procedures 2 12 Terminology Example in C prototype int plus(int a, int b); function call … void main() { … int x = plus(1, 2); … } int plus(int a, int b) { return a + b; } arguments
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CS 461 Programming Language Concepts Gang Tan Computer Science and Engineering Penn State University * Some slides are adapted from those by Dr. Danfeng Zhang Supplementary Slides Chap 11 Functional Languages 2 12 Why Study Functional Programming (FP)? Expose you to a new programming model • FP is drastically different – Scheme: no loops; recursion
3 Semantics CS 381 • Semantics 1 en.wikipedia.org/wiki/Blissymbols Semantics 3 Semantics CS 381 • Semantics Syntax 2 CS 381 • Semantics 3 3 Semantics Why semantics? What is semantics? Semantics of simple expression languages Elements of semantic definitions Examples: Shape & Move languages Advanced semantic domains Translating Haskell into denotational semantics Haskell as a metalanguage
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1 Haskell CS 381 • Haskell 1 λ Change vs. Description private void quicksort(int low, int high) { int i = low, j = high; int pivot = numbers[low + (high-low)/2]; while (i pivot) { j–; } if (i 6 then 5 else 6 if 2*3==3+3 then True else False 2*3==3+3 CS 381 • Haskell
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4Types CS 381 • Typing 1 CS 381 • Typing 2 4Types Types,Type Errors,Type Systems Why Type Checking? Static vs. Dynamic Typing Polymorphism Parametric Polymorphism Lost … CS 381 • Typing mars.jpl.nasa.gov/msp98/orbiter/ 3 CS 381 • Typing 4 More Motivation … Video clip First-Cause Arguments Kalam Cosmological Argument (Al-Ghazali,William Lane Craig, …) (1)Whatever begins to
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2 Syntax For snoring?! Hell, that’s nothin’. I once shot a man for ending a sentence in a preposition. CS 381 • Syntax 1 Sharing Thoughts doggy dog Wauwau chien Hund CS 381 • Syntax 2 Syntax:Agreed-upon representation for semantic concepts 2 Syntax CS 381 • Syntax 3 Grammars & Derivation Syntax Tree Abstract vs.
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CSE 216 PROGRAMMING ABSTRACTIONS Dr. Ritwik Banerjee Computer Science, Stony Brook University Overview of topics Programming paradigms Functional programming Object-oriented design and programming Cross-cutting concepts Parallel Programming scopes bindings parameter passing type systems recursion higher-order procedures streams and lazy evaluation abstraction and encapsulation class hierarchy polymorphism and inheritance object-oriented design principles multi-paradigm programming unit testing
Functional Elements and Evaluations in Java CSE 216 : Programming Abstractions Department of Computer Science Stony Brook University Dr. Ritwik Banerjee Functional Programming The boundaries between language categories are fuzzy. • Mostlyfunctional:Haskell,Lisp,ML. • Mostlyimperative,withsomeelementsof functional programming: Java, Python. Functional languages typically heavily depend on (sometimes implicit) parametric polymorphism and the use of lists. • Wehaveseentwotypesofexplicitpolymorphism