1 / 13

Programming Languages

CS 242. Programming Languages. John Mitchell. Course web site: http://www.stanford.edu/class/cs242/. Some Course Goals. Programming Language Concepts A language is a “conceptual universe” (Perlis) Framework for problem-solving Useful concepts and programming methods

cheri
Download Presentation

Programming Languages

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CS 242 Programming Languages John Mitchell Course web site: http://www.stanford.edu/class/cs242/

  2. Some Course Goals • Programming Language Concepts • A language is a “conceptual universe” (Perlis) • Framework for problem-solving • Useful concepts and programming methods • Understand the languages you use, by comparison • Appreciate history, diversity of ideas in programming • Be prepared for new programming methods, paradigms, tools • Critical thought • Identify properties of language, not syntax or sales pitch • Language and implementation • Every convenience has its cost • Recognize the cost of presenting an abstract view of machine • Understand trade-offs in programming language design

  3. Language goals and trade-offs Architect Programmer Programming Language Tester Compiler, Runtime environ-ment DiagnosticTools

  4. Value of Language Concepts • Parable • I started programming in 1970’s • Dominant language was Fortran; no recursive functions • My algorithms and data structure instructor said: • Recursion is a good idea even though inefficient • You can use idea in Fortran by storing stack in array • Today: recursive functions everywhere • Moral • Futuristic ideas may be useful problem-solving methods now, and may be part of languages you use in the future • Current examples • Function passing: pass functions in C by building your own closures, as in STL “function objects” • Continuations: used in web languages for workflow processing • Monads: programming technique from functional programming • Concurrency

  5. Languages in common use Compiled by François Labelle from statistics on open-source projects at SourceForge

  6. What’s new in programming languages • Commercial trend over past 5 years • Increasing use of type-safe languages: Java, C#, … • Scripting languages, other languages for web applications • Teaching trends • Java replaces C as most common intro language • Less emphasis on how data, control represented in machine • Research and development trends • Modularity • Java, C++: standardization of new module features • Program analysis • Automated error detection, programming env, compilation • Isolation and security • Sandboxing, language-based security, … • Web 2.0 • Increasing client-side functionality, mashup isolation problems

  7. What’s worth studying? • Dominant languages and paradigms • C, C++, Java • Imperative and Object-oriented languages • Explosion of programming technologies for the web • Important implementation ideas • Performance challenges • Concurrency • Design tradeoffs • Concepts that research community is exploring for new programming languages and tools

  8. Joining us this year • Kathleen Fisher • Research interests • PADS language for specifying physical data representations • Hancock: C-based, domain-specific programming language designed to facilitate extracting useful information from massive data streams • Professional activities • Chair of SIGPLAN, Editorial Board of JFP, … • Home page • http://www.research.att.com/info/kfisher

  9. First half of course (subject to change) • JavaScript (1 lecture) • Current language illustrating features covered in course • Conventional prog. language concepts (4 lectures) • Block structure and memory management (1 lecture) • ML, Haskell (1 lecture) • Control constructs (1 lecture) • Types and type checking/inference (1 lecture) • Programming techniques from the future (3 lectures) • Generalized Abstract Data Types (1 lecture) • Type classes (1 lecture) • Monads (1 lecture) • Theoretical foundations (1 lecture) • Operational semantics, via JavaScript --------------------- Midterm Exam ------------------------

  10. Second half of course • Modularity, data abstraction, objects (1 lecture) • Object-oriented languages (5 lectures) • Smalltalk and Self (1.5 lectures) • C++ (1.5 lectures) • Java (2 lectures) • Security (1 lecture) • Concurrency (2 lectures) • Conclusions and review (1 lecture) --------------------- Final Exam ------------------------

  11. General suggestions • Read ahead • Some details are only in HW and reading • Scope of course defined by lectures, reading assignments, and homework • There is something difficult about this course • May be hard to understand homework questions Thought questions: cannot run and debug May sound like there is no right answer, but some answers are better than others • Many of you may be used to overlooking language problems, so it takes a few weeks to see the issues

  12. Course Logistics • Homework and Exams • HW handed out and due on Wednesdays • Midterm Wed Oct 22 7-9PM, Final Wed Dec 10, 12:15-3:15 PM • Honor Code, Collaboration Policy • Homework grader? • Send email to cs242@cs.stanford.edu email addr • TA’s, Office hours, Email policy, … • Section • Friday afternoons, 2:15-3:05 in Gates B03 • Optional discussion and review; no new material • Reading material • Book available in bookstore (Concepts in Programming Lang.) • Supplementary reading on web See web site…

  13. Questions?

More Related