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This course covers data abstraction, state, and deterministic dataflow in a unified framework with practical code exercises. In the last part of the course, students will...

This online lecture gives an overview of statistical methods in language technology, focussing mostly on written language (texts).

This online course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied.

In this course, students will learn the basic tools that every web page coder needs to know, starting from how to implement modern web pages with HTML and CSS and how to code...

This series of MOOCs explores the fundamentals of probabilistic graphical models.

This online course will guide participants through how a client communicates with a server, including details of HTTP/1 vs. HTTP/2.

This online course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.

This online course covers advanced machine learning and signal processing concepts, including supervised and unsupervised machine learning.

This online course series prepares learners to use the IBM AI Enterprise Workflow that enables data scientists to build AI solutions, starting with business priorities and...

This series of online courses teaches autonomous flight software engineering skills. It includes key aspects of Aerial Robotics as well as Intelligent Air Systems.

In this course students will learn the basic Linux fundamentals every web developer needs to know. A basic understanding of this system is required to not only get a web...

This online course teaches about the general information security risk management framework and its practices and how to identify and model information security risks and apply...

This is an online lecture taking a practical approach to proving problems can't be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions...

This online course explores the essentials of machine learning and algorithms to help improve learning from data without human intervention. Topics of the course include:...

In this course, students will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables. They will apply...

In this course, students will learn the process of building an iOS app, from brainstorming ideas to publishing on the App Store.

In this course, students will learn standard methodologies for debugging software—especially for iOS applications. Additionally, they will understand how to use Xcode’s...

Through a combination of classic papers and more recent work, students will explore automated decision-making from a computer-science perspective. They will examine efficient...

Students will understand, through this course, the power and limitations of algorithms that help people develop the tools to make real-world computers smarter, faster and safer.

In this course, students will use Native JavaScript Promises to write asynchronous code that is easy to read, easy to write and easy to debug.