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This course is an introduction to the discipline of statistics as a science of understanding and analyzing data. Students will learn how to effectively make use of data in the...
This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.
The goal of this course is to equip its students with the skills necessary to define requirements, set up an integrated development environment (IDE), learn Git (and Github!)...
This online course discusses advanced concepts of Game Theory.The course includes social choice theory (i.e., collective decision making), mechanism design, and auctions. (Note:...
In this course, students will learn to design the computer architecture of complex modern microprocessors.
This course teaches students how to manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives.
This course teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used to perform manually....
This course addresses the modeling and analysis of static equilibrium problems with an emphasis on real world engineering systems and problem solving.
This course will cover the following topics: Ischemic heart disease pathology and management, Myocardial disease, Cardiac arrhythmia and others.
In this course, students will go beyond basic data analysis tools to develop multiple linear regression and logistic regression models to address their research question more...
This course will introduce students to the major challenges and opportunities for creating online communities.
What is the purpose of government? Why should we have a State? What kind of State should we have? The aim of the course is to provide participants with a deeper and more...
This course considers the common data structures that are used in various computational problems. Participants will learn how these data structures are implemented in different...
In this course, participants will see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. The course will cover Spark's programming...
This course covers how to find the right people to fill out a data science team, how to organize them to give them the best chance to feel empowered and successful, and how to...
In this course students will build a practical framework to understand the critical linkages between organization design and the creation of economic value through execution.
This course covers how to program in R and how to use R for effective data analysis. Students will learn how to install and configure software necessary for a statistical...
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 teaches how graph theory can be used to assemble genomes from these short pieces and also about brute force algorithms and how to apply them to sequencing...
This course discusses the role of digital channels in an integrated marketing campaign and why you need a digital strategy.
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