Biological Computing OpenCourseWare: MIT's Free Online Undergraduate Class on Biological Computing
'Biological Computing: At the Crossroads of Engineering and Science' explores how concepts taken from Biology, such as the structure of DNA, can be applied to Computer Science. This is a free OpenCourseWare offered by the Massachusetts Institute of Technology (MIT). This class is part of a Bachelor of Science in Biology, Bachelor of Science in Engineering or Bachelor of Science in Computer Science curriculum.
Biological Computing: At the Crossroads of Engineering and Science: Course Specifics
Degree Level | Free | Audio | Video | Downloads |
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Undergraduate | Yes | No | No | Yes |
Lectures/Notes | Study Materials | Tests/Quizzes |
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No | Yes | No |
Biological Computing: At the Crossroads of Engineering and Science: Course Details
'Biological Computing: At the Crossroads of Engineering and Science' is a free OpenCourseWare offered by the Massachusetts Institute of Technology (MIT). This lecture-based class was originally taught by MIT professor Dr. Julia Khodor. Geared towards both Engineering and Biology students, this class explores biological computing. Leaders from the realms of mathematics, biology, computer science, engineering and chemistry have collaborated in this innovative field of study to investigate a range of issues, such as how the structure of a molecule assemblage can inspire computational formulas. The course pays particular attention to major literature in the field begins with Leonard Adleman's study, which was published in 1994 and established the field of biological computing. Lectures strike a balance between engineering problems and biological thinking and emphasize the possibilities for collaboration between the two. 'Biological Computing' is for students who are pursuing a Bachelor of Science in Biology, a Bachelor of Science in Computer Science or a Bachelor of Science in Engineering. A background in Biology is not necessary to take this course.
This free OpenCourseWare includes a course syllabus, calendar, complete bibliography and examples of completed course assignments. To learn more, visit the Biological Computing course page.
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