7.349 Biological Computing: At the Crossroads of Engineering and Science, Spring 2005
Imagine you are a salesman needing to visit 100 cities connected by a set of roads. Can you do it while stopping in each city only once? Even a supercomputer working at 1 trillion operations per second would take longer than the age of the universe to find a solution when considering each possibilit...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Learning Object |
| Language: | en-US |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/152415 |
| _version_ | 1826199977025601536 |
|---|---|
| author | Khodor, Julia |
| author2 | Massachusetts Institute of Technology. Department of Biology |
| author_facet | Massachusetts Institute of Technology. Department of Biology Khodor, Julia |
| author_sort | Khodor, Julia |
| collection | MIT |
| description | Imagine you are a salesman needing to visit 100 cities connected by a set of roads. Can you do it while stopping in each city only once? Even a supercomputer working at 1 trillion operations per second would take longer than the age of the universe to find a solution when considering each possibility in turn. In 1994, Leonard Adleman published a paper in which he described a solution, using the tools of molecular biology, for a smaller 7-city example of this problem. His paper generated enormous scientific and public interest, and kick-started the field of Biological Computing, the main subject of this discussion based seminar course. Students will analyze the Adleman paper, and the papers that preceded and followed it, with an eye for identifying the engineering and scientific aspects of each paper, emphasizing the interplay of these two approaches in the field of Biological Computing. This course is appropriate for both biology and non-biology majors. Care will be taken to fill in any knowledge gaps for both scientists and engineers.This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. |
| first_indexed | 2024-09-23T11:28:49Z |
| format | Learning Object |
| id | mit-1721.1/152415 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2025-03-10T09:46:54Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | mit-1721.1/1524152025-02-26T21:25:40Z 7.349 Biological Computing: At the Crossroads of Engineering and Science, Spring 2005 Biological Computing: At the Crossroads of Engineering and Science Khodor, Julia Massachusetts Institute of Technology. Department of Biology biological computing Leonard Adleman exquisite detection whole-cell computing computation molecular biology biotin-avidin magnetic beads cellular processes combinatorial problems self-assembly nanodevices molecular machines quorum sensing molecular switches ciliates molecular gates molecular circuits genetic switch cellular networks genetic networks genetic circuits 261308 Systematic Biology/Biological Systematics Imagine you are a salesman needing to visit 100 cities connected by a set of roads. Can you do it while stopping in each city only once? Even a supercomputer working at 1 trillion operations per second would take longer than the age of the universe to find a solution when considering each possibility in turn. In 1994, Leonard Adleman published a paper in which he described a solution, using the tools of molecular biology, for a smaller 7-city example of this problem. His paper generated enormous scientific and public interest, and kick-started the field of Biological Computing, the main subject of this discussion based seminar course. Students will analyze the Adleman paper, and the papers that preceded and followed it, with an eye for identifying the engineering and scientific aspects of each paper, emphasizing the interplay of these two approaches in the field of Biological Computing. This course is appropriate for both biology and non-biology majors. Care will be taken to fill in any knowledge gaps for both scientists and engineers.This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. 2023-10-11T19:54:40Z 2023-10-11T19:54:40Z 2005-06 2023-10-11T19:54:48Z Learning Object 7.349-Spring2005 7.349 IMSCP-MD5-1e9d3b9feca1df0ccc8ff8a166eb9464 https://hdl.handle.net/1721.1/152415 en-US 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. Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ text/plain text/html image/jpeg image/jpeg text/html application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf text/html application/pdf text/html text/html text/html application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/css text/html image/png image/png image/png image/png image/gif image/png image/png image/png image/jpeg image/gif image/png image/png image/png image/gif image/png image/png image/png image/png image/png image/png image/gif image/png image/png image/gif image/gif image/png image/png image/png image/png image/png image/png image/png image/png image/png image/gif image/jpeg image/gif image/png image/jpeg image/png image/png image/png image/png image/png image/png image/png image/png image/png image/gif image/png image/png image/jpeg image/gif image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/gif image/png image/gif application/octet-stream image/gif image/gif image/png image/gif image/gif image/gif image/png image/png application/octet-stream image/gif image/gif image/gif image/gif image/png image/gif image/gif application/octet-stream image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png image/png application/rdf+xml; charset=utf-8 text/html image/png image/png image/jpeg image/png image/png image/png image/png image/png text/html text/html Spring 2005 |
| spellingShingle | biological computing Leonard Adleman exquisite detection whole-cell computing computation molecular biology biotin-avidin magnetic beads cellular processes combinatorial problems self-assembly nanodevices molecular machines quorum sensing molecular switches ciliates molecular gates molecular circuits genetic switch cellular networks genetic networks genetic circuits 261308 Systematic Biology/Biological Systematics Khodor, Julia 7.349 Biological Computing: At the Crossroads of Engineering and Science, Spring 2005 |
| title | 7.349 Biological Computing: At the Crossroads of Engineering and Science, Spring 2005 |
| title_full | 7.349 Biological Computing: At the Crossroads of Engineering and Science, Spring 2005 |
| title_fullStr | 7.349 Biological Computing: At the Crossroads of Engineering and Science, Spring 2005 |
| title_full_unstemmed | 7.349 Biological Computing: At the Crossroads of Engineering and Science, Spring 2005 |
| title_short | 7.349 Biological Computing: At the Crossroads of Engineering and Science, Spring 2005 |
| title_sort | 7 349 biological computing at the crossroads of engineering and science spring 2005 |
| topic | biological computing Leonard Adleman exquisite detection whole-cell computing computation molecular biology biotin-avidin magnetic beads cellular processes combinatorial problems self-assembly nanodevices molecular machines quorum sensing molecular switches ciliates molecular gates molecular circuits genetic switch cellular networks genetic networks genetic circuits 261308 Systematic Biology/Biological Systematics |
| url | https://hdl.handle.net/1721.1/152415 |
| work_keys_str_mv | AT khodorjulia 7349biologicalcomputingatthecrossroadsofengineeringandsciencespring2005 AT khodorjulia biologicalcomputingatthecrossroadsofengineeringandscience |