| dc.contributor.author | Guttag, John | |
| dc.coverage.temporal | Spring 2011 | |
| dc.date.accessioned | 2023-05-05T15:39:39Z | |
| dc.date.available | 2023-05-05T15:39:39Z | |
| dc.date.issued | 2011-06 | |
| dc.identifier | 6.00SC-Spring2011 | |
| dc.identifier.other | 6.00SC | |
| dc.identifier.other | IMSCP-MD5-cfc60c000cf60ad25ec41ab2b6b5c6cb | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/150601 | |
| dc.description.abstract | 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. | en |
| dc.language.iso | en-US | |
| dc.rights | This site (c) Massachusetts Institute of Technology 2023. 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") unless otherwise noted. 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. | en |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 Unported | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | * |
| dc.subject | Python programming | en |
| dc.subject | algorithms | en |
| dc.subject | dynamic programming | en |
| dc.subject | object-oriented programming | en |
| dc.subject | debugging | en |
| dc.subject | problem solving | en |
| dc.subject | recursion | en |
| dc.subject | iteration | en |
| dc.subject | search algorithms | en |
| dc.subject | program efficiency | en |
| dc.subject | order of growth | en |
| dc.subject | memoization | en |
| dc.subject | hashing | en |
| dc.subject | object classes | en |
| dc.subject | inheritance | en |
| dc.subject | Monte Carlo simulation | en |
| dc.subject | curve fitting | en |
| dc.subject | optimization | en |
| dc.subject | clustering | en |
| dc.subject | queuing networks | en |
| dc.subject | data sampling | en |
| dc.title | 6.00SC Introduction to Computer Science and Programming, Spring 2011 | en |
| dc.title.alternative | Introduction to Computer Science and Programming | en |
| dc.audience.educationlevel | Undergraduate | |
| dc.subject.cip | 110701 | en |
| dc.date.updated | 2023-05-05T15:40:43Z | |
