6.00 Introduction to Computer Science and Programming, Fall 2007

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small...

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Bibliographic Details
Main Author: Guttag, John
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Learning Object
Language:en-US
Published: 2007
Subjects:
Online Access:http://hdl.handle.net/1721.1/50241
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author Guttag, John
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Guttag, John
author_sort Guttag, John
collection MIT
description This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.
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spelling mit-1721.1/502412025-02-25T16:40:45Z 6.00 Introduction to Computer Science and Programming, Fall 2007 Introduction to Computer Science and Programming Guttag, John Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science computer science computation problem solving Python programming recursion binary search classes inheritance libraries algorithms optimization problems modules simulation big O notation control flow exceptions building computational models software engineering This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language. 2007-12 Learning Object 6.00-Fall2007 local: 6.00 local: IMSCP-MD5-c575d2144fb74dddaacc72bee73d7133 http://hdl.handle.net/1721.1/50241 en-US Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. text/html Fall 2007
spellingShingle computer science
computation
problem solving
Python programming
recursion
binary search
classes
inheritance
libraries
algorithms
optimization problems
modules
simulation
big O notation
control flow
exceptions
building computational models
software engineering
Guttag, John
6.00 Introduction to Computer Science and Programming, Fall 2007
title 6.00 Introduction to Computer Science and Programming, Fall 2007
title_full 6.00 Introduction to Computer Science and Programming, Fall 2007
title_fullStr 6.00 Introduction to Computer Science and Programming, Fall 2007
title_full_unstemmed 6.00 Introduction to Computer Science and Programming, Fall 2007
title_short 6.00 Introduction to Computer Science and Programming, Fall 2007
title_sort 6 00 introduction to computer science and programming fall 2007
topic computer science
computation
problem solving
Python programming
recursion
binary search
classes
inheritance
libraries
algorithms
optimization problems
modules
simulation
big O notation
control flow
exceptions
building computational models
software engineering
url http://hdl.handle.net/1721.1/50241
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