BIG DATA

Our aspirants will focus on some of the BigData applications such as call logs, mobile banking transactions, online user generated content such as blog posts and Tweets, online searches, satellite images, etc. into actionable information requires using computational techniques to unveil trends and patterns within and between these extremely large socioeconomic datasets.

ROBOTICS

Robotics is a platform in which our students are to be engaged in ground-breaking work in mechanism design, sensors, computer vision, robot learning, Bayesian state estimation, control theory, numerical optimization, biomechanics, neural control of movement, computational neuroscience, brain-machine interfaces, natural language instruction, and physics-based animation. Our students will currently focus to define large-scale joint initiatives that will enable us to leverage our multi-disciplinary expertise to attack the most challenging problems in field.

CLOUD COMPUTING

Our students will focus and make some cloud computing models for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing provides computation, software, data access, and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the services.

THE INTERNET OF THINGS

The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering: it concerns the systems of networked devices that are now sensing, transmitting and acting on data. A series of reports place the IoT as a new and transformative technology domain that will require millions of developers by 2020. The course will educate and train you in the key areas required for operating the generation of networks of connected devices that are starting to proliferate (smart homes, smart cities, smart cars, and so on): data analysis, storage and processing; distributed and networked systems; and information security. Facilities include a laboratory where you can experiment with physical devices that can be interconnected in a network, and a cluster facility for processing and analyzing real data sets.

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