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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Format: | Learning Object |
Language: | en-US |
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2007
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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. |
first_indexed | 2024-09-23T10:14:05Z |
format | Learning Object |
id | mit-1721.1/50241 |
institution | Massachusetts Institute of Technology |
language | en-US |
last_indexed | 2025-03-10T08:35:47Z |
publishDate | 2007 |
record_format | dspace |
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 |
work_keys_str_mv | AT guttagjohn 600introductiontocomputerscienceandprogrammingfall2007 AT guttagjohn introductiontocomputerscienceandprogramming |