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Uedu Open / Adventures in Advanced Symbolic Programming
6.945

Adventures in Advanced Symbolic Programming

Prof. Gerald Sussman | Spring 2009
Data Science, Analytics & Computer Technology AI Programming & Coding Software Design and Engineering Machine Learning Computer Science Engineering Artificial Intelligence
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CC BY-NC-SA 4.0
Course introduction

This course covers concepts and techniques for the design and implementation of large software systems that can be adapted to uses not anticipated by the designer. Applications include compilers, computer-algebra systems, deductive systems, and some artificial intelligence applications. Topics include combinators, generic operations, pattern matching, pattern-directed invocation, rule systems, backtracking, dependencies, indeterminacy, memoization, constraint propagation, and incremental refinement. Substantial weekly programming assignments are an integral part of the subject.

There will be extensive programming assignments, using MIT/GNU Scheme. Students should have significant programming experience in Scheme, Common Lisp, Haskell, CAML or some other “functional” language.

Course Information
SourceMIT 開放式課程
DepartmentElectrical Engineering and Computer Science
LanguageEnglish
Number of videos0
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