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Functional Programming Principles in Scala
Terrorism and Counterterrorism: Comparing Theory and Practice
Making Successful Decisions through the Strategy, Law & Ethics Model
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MIT OpenCourseWare is an initiative to make course materials from all MIT subjects freely available on the web, so that anyone can access and use them.
This course offers a holistic view of the aircraft as a system, covering: basic systems engineering; cost and weight estimation; basic aircraft performance; safety and reliability; lifecycle topics; aircraft subsystems; risk analysis and management; and…
This course provides an integrated introduction to electrical engineering and computer science, taught using substantial laboratory experiments with mobile robots.
The course introduces the fundamentals of the lumped circuit abstraction. Design and lab exercises are also significant components of the course.
This Institute–wide program complements the deep expertise obtained in any major with a broad understanding of the interlinked realms of science, technology, and social sciences as they relate to energy and associated environmental challenges.
This workshop aims to provide information for students to prepare for the FAA Private Pilot Knowledge Test.
Lectures cover threat models, attacks that compromise security, and techniques for achieving security, based on recent research papers.
This course looks at the design of Bitcoin and other cryptocurrencies and how they function in practice, focusing on cryptography, game theory, and network architecture.
The course serves as an introduction to the theory and practice behind many of today's communications systems.
This course is for students wishing to explore blockchain technology's potential use—by entrepreneurs and incumbents—to change the world of money and finance.
This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering.
This is an 18-unit class that provides a hands-on, project-based introduction to building scalable and high-performance software systems.
This course covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals and representations of linear, time-invariant systems.
This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence.
This course introduces students to machine learning in healthcare, including the nature of clinical data, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.
This introductory undergraduate course covers supply and demand, market equilibrium, consumer theory, production and the behavior of firms, monopoly, oligopoly, welfare economics, public goods, and externalities.
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