9 Spring Courses on Big Data, Internet of Things, and Cybersecurity
Advances in Internet of Things technology and artificial intelligence promise a future of interconnectivity and automation. But with all of its convenience and novelty, this technology brings along challenges of big data storage and processing, as well as privacy and security.
If you’re interested in diving deeper than the tech headlines, these spring courses explore the complexities of an internet-connected society, and prepare you with the skills to succeed in the industry.
Explore the technical and political underpinnings of an internet-connected society—and the interplay between the cyber and physical worlds. You will also gain the tools you need to understand, use, and manage various technologies.
Learn how to assess security risks and translate your assessments into recommendations. Become skilled in effectively communicating these risks to business decision makers.
Processing Big Data
Build a basic understanding of data science principles and how data science improves business outcomes. Through case studies, you'll learn practical ways that data can be used to inform decisions.
Taught by MIT professors, this course is a primer in big data. You explore such topics as data collection and storage, extraction, and analytics. You'll also consider the complexities surrounding data and the internet of things, and the challenges of security in a virtual world.
Broaden your knowledge on various statistical learning methods and their applications. Explore topics of linear and nonlinear regression, clustering and classification, and decision trees while using the R programming language.
Learn core principles of building highly distributed, highly available systems for processing large volumes of data. You'll explore the full, end-to-end data processing pipeline typical in real-world scenarios.
Understanding Real-World Implications
Explore the growing field of wearable technologies and its exciting applications in medicine, sports, fitness, and entertainment. You will review aspects of wearable technologies—such as software, architecture, and UX design—as well as current and proposed uses for it.
Learn how to use TensorFlow—an API for neutral networks and deep learning—to create convolutional neural networks, recurrent neural networks, LSTMs, and more. You will also practice text analysis and gain an understanding of the natural language translation process.
Immerse yourself in the history of AI and robotics while pondering what AI is, what it is not, how it compares to real brains, and where it falls short.
Interested in taking a course in spring?
Spring registration is November 13 through January 27. Learn how to register
Looking for more courses?
We’re offering nearly 500 courses in the January session and spring term.