E.g., Friday, November 21, 2014
E.g., Friday, November 21, 2014
E.g., Friday, November 21, 2014
Self Paced Course - Start anytime

The course fully covers the basics of programming in the “C++” programming language and presents the fundamental notions and techniques used in object-oriented programming. It starts with universal basics, not relaying on object concepts and gradually extends to advanced issues observed in the objective approach.

5.2
Average: 5.2 (5 votes)
Feb 16th 2015

This course will cover algorithms for solving various biological problems along with a handful of programming challenges testing your ability to implement these algorithms. It offers a gentler-paced alternative to the instructors' two other courses, Bioinformatics Algorithms (Part 1 and Part 2).

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Sep 15th 2014

Rhetorical Composing engages you in a series of interactive reading, research, and composing activities along with assignments designed to help you become more effective consumers and producers of alphabetic, visual and multimodal texts. Join us to become more effective writers... and better citizens.

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Jun 30th 2014

In this course you will learn several fundamental principles of advanced algorithm design: greedy algorithms and applications; dynamic programming and applications; NP-completeness and what it means for the algorithm designer; the design and analysis of heuristics; and more.

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Mar 3rd 2014

Learn about novel sensing tools that make use of nanotechnology to screen, detect and monitor various events in personal or professional life. Together, we will lay the groundwork for infinite innovative applications, starting from diagnosis and treatments of diseases, continuing with quality control of goods and environmental aspects, and ending with monitoring security issues.

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Oct 20th 2013

“数据结构与算法”是计算机学科中的核心基础课程。课程的主要目标培养学生较全面地理解基本数据结构的概念和经典算法的思想及各种实现方法,掌握数据结构和算法的设计分析技术。根据所求解问题的性质选择合理的数据结构并对时间空间复杂性进行必要的控制,提高程序设计的质量。使得学生在将来的学习、研究和工作中,具备设计和实现高效的数据结构和算法的能力。

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Oct 30th 2013

This course explores markets with frictions. The goal is to sharpen our economic reasoning, add a few twists that you are unlikely to have seen in other courses, and apply the methods to interesting phenomena. This should improve the way you think analytically about the economy, and help address interesting issues that come up in the world of business.

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Jul 1st 2013

Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.

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