Advanced Materials and Devices refer to the study of novel materials, and designing and fabricating electronic, optoelectronic, magnetic, spintronic, thermoelectric and other devices base on these materials. Many technological advancements and innovations start at the materials level. Continuous progress in electronic industry relies heavily on introduction of new gate dielectric materials and metals for interconnects. Increasing efficiency of photovoltaic and thermoelectric renewable energy conversion is not possible without new materials. Recent progress in two-dimensional materials opened opportunities for creating electronic and optoelectronic devices with previously not achievable performance and functionalities. Development of spintronics creates foundation for information processing with ultra-low energy dissipation. Expertise in advanced materials and devices is required for employment with major defense contractors such as Northrop Grumman, Raytheon and others, as well as electronic industry leaders and government laboratories. As part of your Electrical Engineering MS program at UC Riverside, you will be prepared for advanced materials and devices career by receiving training in the multidisciplinary areas, including: Applied quantum mechanics Solid-state electronics Semiconductors and heterostructures Electronic and magnetic properties of materials Electromagnetics and antenna theory Advanced fabrication and manufacturing Communications and Signal Processing (ComSIP) is the foundation of all modern systems and networks. Without ComSIP, no system can be intelligent, no vehicle can navigate, and no power grid can be smart. ComSIP builds directly upon the modern technology of computing devices, and provides the most critical layer of interface between the innovations in our cyber world and the medium in our physical world. As part of your MS studies at UC Riverside you will acquire specialized training in advanced topics in Signal Processing and Communications. The courses will include topics related to the following: Advanced theory and methods for signal and image processing Statistical signal analysis and machine learning Communication systems and information theory GPS networks
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 7 位 | 加州理工学院California Institute of Technology | 1年 | - |
| 第 87 位 | 米兰理工大学Politecnico di Milano | 2 年 | - |
| 第 675 位 | 斯蒂文斯理工学院Stevens Institute of Technology | - | - |
| 第 1001 位 | 南卫理公会大学Southern Methodist University | 30学分 | 1128美元/学分 |