This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.
Introduces the basic computational methods used to understand the cell on a molecular level. Covers sequence alignment algorithms: dynamic programming, hashing, suffix trees, Gibbs sampling. Focuses on computational approaches to: genetic and physical mapping; genome sequencing, assembly, and annotation; RNA expression and secondary structure; protein structure and folding; and molecular interactions and dynamics.
This course focuses on introducing the language, libraries, tools and concepts of Java®. The course is specifically targeted at students who intend to take 6.170 in the following term and feel they would struggle because they lack the necessary background. Topics include: Object-oriented programming, primitives, arrays, objects, inheritance, interfaces, polymorphism, hashing, data structures, collections, nested classes, floating point precision, defensive programming, and depth first search algorithm.
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This Technical Glossary video aims to give you an understanding of the social media platform Twitter http://twitter.com. The concept of tweets is discussed, and the video also demonstrates how to set up an account, how to find and follow other Twitter users, tweet and send direct messages to users, and how to use hash tags in teaching contexts.
Please also watch the related case study called Teaching with web 2.0 technologies: Twitter, wikis & blogs - Case study http://bit.ly/e2Hxxs.
Subject:
Arts, Business, Humanities, Mathematics and Statistics, Science and Technology, Social Sciences
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