2 Classes (24 Units)

5.310 (12), 6.046 (12)

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5.310 Laboratory Chemistry

Class Info

Introduces experimental chemistry for students who are not majoring in Course 5. Principles and applications of chemical laboratory techniques, including preparation and analysis of chemical materials, measurement of pH, gas and liquid chromatography, visible-ultraviolet spectrophotometry, infrared spectroscopy, kinetics, data analysis, and elementary synthesis. Enrollment limited.

This class has 5.12 as a corequisite.

5.310 will be offered this semester (Spring 2018). It is instructed by J. Dolhun.

Lecture occurs 10:00 AM to 11:00 AM on Tuesdays and Thursdays in 4-370.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+5.310&btnG=Google+Search&inurl=https site or on the 5.310 Stellar site.

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6.046 Design and Analysis of Algorithms

Class Info

Techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics include sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; greedy algorithms; amortized analysis; graph algorithms; and shortest paths. Advanced topics may include network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.

This class has 6.006 as a prerequisite.

6.046 will be offered this semester (Spring 2018). It is instructed by E. Demaine and M. Goemans.

Lecture occurs 11:00 AM to 12:30 PM on Tuesdays and Thursdays in 34-101.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the Design and Analysis of Algorithms site or on the 6.046 Stellar site.

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Design and Analysis of Algorithms
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