Learning and computers
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1995.
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格式: | Thesis |
语言: | eng |
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Massachusetts Institute of Technology
2007
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在线阅读: | http://hdl.handle.net/1721.1/36622 |
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author | Higgins, Daniel M. (Daniel Michael) |
author2 | John R. Williams. |
author_facet | John R. Williams. Higgins, Daniel M. (Daniel Michael) |
author_sort | Higgins, Daniel M. (Daniel Michael) |
collection | MIT |
description | Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1995. |
first_indexed | 2024-09-23T08:56:03Z |
format | Thesis |
id | mit-1721.1/36622 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T08:56:03Z |
publishDate | 2007 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/366222019-04-10T19:50:30Z Learning and computers Higgins, Daniel M. (Daniel Michael) John R. Williams. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering Civil and Environmental Engineering Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1995. Includes bibliographical references (p. 85-88). by Daniel M. Higgins. M.S. 2007-03-12T17:37:48Z 2007-03-12T17:37:48Z 1995 1995 Thesis http://hdl.handle.net/1721.1/36622 33822630 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 88 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | Civil and Environmental Engineering Higgins, Daniel M. (Daniel Michael) Learning and computers |
title | Learning and computers |
title_full | Learning and computers |
title_fullStr | Learning and computers |
title_full_unstemmed | Learning and computers |
title_short | Learning and computers |
title_sort | learning and computers |
topic | Civil and Environmental Engineering |
url | http://hdl.handle.net/1721.1/36622 |
work_keys_str_mv | AT higginsdanielmdanielmichael learningandcomputers |