3 Classes (30 Units)

7.09 (12), 10.01 (6), 10.333 (12)

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7.09 Quantitative and Computational Biology

Class Info

Quantitative and computational analysis of biological systems at the molecular and cellular level. Includes models of biological processes across different time scales, from steady-state to kinetics of gene expression, circadian clock, cell growth, and evolutionary dynamics. Methods include physical, systems, and synthetic biology. Also covers second-generation sequencing technologies, and topics in computational analysis of genomes, including sequence alignment, motif finding, information theory and RNA secondary structure prediction.

This class has 7.03, and 7.05 as prerequisites.

7.09 will be offered this semester (Spring 2018). It is instructed by C. Burge and G. W. Li.

Lecture occurs 1:00 PM to 2:30 PM on Tuesdays and Thursdays in 56-154.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the 7.09 Class Site site or on the 7.09 Stellar site.

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10.01 Ethics for Engineers

Class Info

Integrates classical readings that provide an overview of ethics with a survey of case studies that focus on ethical problems arising in the practice of engineering. Readings taken from a variety of sources, such as Aristotle, Machiavelli, Bacon, Hobbes, Locke, the Founding Fathers, and the Bible. Case studies include written analyses and films that address engineering disasters, biotechnology, court cases, ethical codes, and the ultimate scope and aims of engineering. Students taking independent inquiry version 6.9041 expand the scope of their term project.

This class has no prerequisites.

10.01 will be offered this semester (Spring 2018). It is instructed by D. Doneson and B. L. Trout.

Lecture occurs 3:00 PM to 5:00 PM on Wednesdays in 66-160.

This class counts for a total of 6 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+10.01&btnG=Google+Search&inurl=https site or on the 10.01 Stellar site.

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10.333 Introduction to Modeling and Simulation

Class Info

Basic concepts of computer modeling and simulation in science and engineering. Uses techniques and software for simulation, data analysis and visualization. Continuum, mesoscale, atomistic and quantum methods used to study fundamental and applied problems in physics, chemistry, materials science, mechanics, engineering, and biology. Examples drawn from the disciplines above are used to understand or characterize complex structures and materials, and complement experimental observations.

This class has 18.03, and 3.016 as prerequisites.

10.333 will be offered this semester (Spring 2018). It is instructed by M. Buehler.

Lecture occurs 2:30 PM to 4:30 PM on Tuesdays and Thursdays in 4-231.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the Introduction to Modeling and Simulation site or on the 10.333 Stellar site.

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Introduction to Modeling and Simulation

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