E.g., Thursday, August 21, 2014
E.g., Thursday, August 21, 2014
E.g., Thursday, August 21, 2014
Oct 5th 2014

The course covers the basics: representing games and strategies, the extensive form (which computer scientists call game trees), repeated and stochastic games, coalitional games, and Bayesian games (modeling things like auctions).

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Sep 29th 2014

In this course, you will learn how to formalize information and reason systematically to produce logical conclusions. We will also examine logic technology and its applications - in mathematics, science, engineering, business, law, and so forth.

8
Average: 8 (1 vote)
Sep 25th 2014

Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

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Sep 21st 2014

Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.

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Sep 15th 2014

这门课程将帮助学生学习如何运用数据结构和算法解决复杂的实际问题。 | This course will help students learn to use data and algorithms to solve complex real-world problems.

0
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Sep 15th 2014

本课程内容涵盖了形式语言与自动机理论、可计算性理论、计算复杂性理论等最基本的那部分内容。
This course covers the most basic parts of formal language and automata theory, computability theory and computational complexity theory.

0
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Sep 15th 2014

Learn about the inner workings of cryptographic primitives and protocols and how to apply this knowledge in real-world applications.

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Sep 15th 2014

This course will cover some of the common algorithms underlying the following fundamental topics in bioinformatics: assembling genomes, comparing DNA and protein sequences, finding regulatory motifs, analyzing genome rearrangements, identifying proteins, and many other topics.

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Sep 14th 2014

计算概论A是针对“信息科学技术学科一年级本科生”开设的一门专业基础主干课程。本课程的教学目标有二:其一,帮助学习者建立起“学习计算机科学技术知识所需的基本知识背景”;其二,帮助学习者“掌握计算机程序设计的基础知识”,培养学习者“独立设计计算机程序解决问题”的基本技能。

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Sep 8th 2014

Learn about the inner workings of cryptographic primitives and how to apply this knowledge in real-world applications!

7
Average: 7 (1 vote)
Sep 5th 2014

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.

8
Average: 8 (1 vote)
Sep 5th 2014

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

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Sep 1st 2014

The online course focuses on the management of enterprise data in column-oriented in-memory databases. Latest hardware and software trends led to the development of a new revolutionary technology that enables flexible and lightning-fast analysis of massive amounts of enterprise data.

7
Average: 7 (1 vote)
Sep 1st 2014

This course covers finite automata, context-free grammars, Turing machines, undecidable problems, and intractable problems (NP-completeness).

8
Average: 8 (2 votes)
Aug 25th 2014

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

0
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Self Paced Course - Start anytime

The Art of Programming. Discover the world of computing, learn software design and development while solving puzzles with world renowned lecturer Richard Buckland.

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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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Jun 10th 2014

CS169.2x teaches sophisticated SaaS+Agile skills, such as working with legacy code, building on basics from CS169.1x.

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Jun 9th 2014

This course introduces the basic mathematical and programming principles that underlie much of Computer Science. Student will refine their programming skills as well as learn the basics of creating efficient solutions to common computational problems.

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