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This course explores that dynamic programming is a powerful algorithmic tool when comparing two genes (i.e., short sequences of DNA) or two proteins. When "zooming out" to...
This course covers topics like multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks. It covers motif searching,...
This online course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.
This course builds on the theory and foundations of marketing analytics and focuses on practical application by demystifying the use of data in marketing and helping students...
This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
This course introduces the design and implementation of Android applications for mobile devices. Students will build upon concepts from the prior course, including handling...
This online course introduces students to the basic components of electronics: diodes, transistors, and op amps. The course covers the basic operation and some common...
This MOOC teaches some advanced Excel skills - including index formulas, logical text and nested functions. It also explores data connections to external databases, and Visual...
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific...
This course presents the fundamental probability and statistical concepts used in elementary data analysis.
This course guides students to distill and improve the foundational aspects of their game so that they may express their ideas in a clear and productive way.
In this course, students will learn to design the computer architecture of complex modern microprocessors.
This course discusses the role of digital channels in an integrated marketing campaign and why you need a digital strategy.
This course teaches how to design assessments around the needs of ELL students and their language level.
This course teaches how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include...
This online course explores topics such as asymptotic notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and...
This course investigates the basic concepts behind programming languages, with an emphasis on the techniques and benefits of functional programming. It covers the programming...
This course will show how one can treat the Internet as a source of data. Students will scrape, parse, and read web data as well as access data using web APIs and will work with...
This is the continuation of Approximation algorithms, Part 1. Here participants will learn linear programming duality applied to the design of some approximation algorithms, and...
This course explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....
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