This is a technically demanding, project-based course delivered in partnership with Massachusetts Institute of Technology Lincoln Laboratory (MIT-LL). Students will achieve a working knowledge of machine-learning subsystem components and understand the key technical drivers for machine-learning solutions. This course is . . .
The societal, technological, and security impacts of advanced mobile communications networks cannot be understated. These networks impact billions of humans, even more devices, and play a role in nearly every human endeavor. 5G alone raises a range of social, technology, . . .
The societal, technological, and security impacts of advanced mobile communications networks cannot be understated. These networks impact billions of humans, even more devices, and play a role in nearly every human endeavor. 5G alone raises a range of social, technology, . . .
This is a technically demanding, project-based course delivered in partnership with Massachusetts Institute of Technology Lincoln Laboratory (MIT-LL). Students will achieve a working knowledge of machine-learning subsystem components and understand the key technical drivers for machine-learning solutions. This course is . . .
The Introduction to Radar course syllabus provides an understanding of radar system concepts and technologies to military officers and government civilians involved in radar system development, acquisition, and related fields. The program, consisting of five sessions, contains a mixture of . . .
Welcome to “Introduction to Engineering Concepts,” a lesson that will introduce you to several STEM fields and help you build core skills that are helpful across many engineering disciplines. We also explain the engineering/research development process. This lesson assumes little . . .
This course looks at the database ecosystem with an emphasis on developing a full Big Data system. By completing this course you will understand and appreciate the different components of complex Big Data Systems be able to select suitable tools . . .
The course begins with a brief history of Artificial Intelligence (AI), including a survey of representative AI success stories and covers topics such as AI data requirements and conditioning, a selection of AI techniques including supervised learning, unsupervised learning and . . .
