计算机工程理学硕士

计算机工程涉及硬件和软件开发方面的知识。学生将学习如何设计新一代计算机以及嵌入式计算系统，例如在智能手机，汽车，家电，计算机网络，智能工厂和物联网中使用的系统。该程序使用各种优化标准（例如速度，成本，功耗，能源，可靠性和安全性）涵盖针对现场可编程门阵列（FPGA）和专用集成电路（ASIC）的整个数字集成电路设计过程。它还涵盖针对微控制器，微处理器，多核和图形处理单元（GPU）的完整软件开发过程。它教学生如何有效地将系统划分为软件和硬件组件，以及如何在这两个部分之间开发高性能接口。面向项目的课程和实验室使学
Computer Engineering involves knowledge of hardware and software development. The students learn how to design new generations of computers, as well as embedded computing systems, such as those found in smartphones, cars, appliances, computer networks, smart factories, and the internet-of-things. The program covers the entire digital integrated circuit design process targeting Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs), using various optimization criteria, such as speed, cost, power, energy, reliability, and security. It also encompasses the complete software development process targeting microcontrollers, microprocessors, multi-cores, and Graphics Processing Units (GPUs). It teaches students how to efficiently partition the system into software and hardware components, and develop high-performance interfaces between these two parts. Project-oriented courses and labs expose students to modern computer-aided design tools for hardware and software design. The students master the art of writing comprehensive technical reports and giving successful oral presentations. The computer engineering program offers the following specialization areas: digital systems design, microprocessor and embedded systems, internet of things, digital signal processing, computer networks, and network and system security.Develop smart and energy-efficient embedded computing systems, such as those found in smartphones, robots, cars, appliances, computer networks, smart factories, and the internet-of-things,Learn how to develop complex digital systems using Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs), using various optimization criteria, such as speed, cost, power, energy, reliability, and security,Apply new methodologies, such as software/hardware co-design, high-level synthesis, approximate computing, neuromorphic engineering, and trusted computing, to solve complex problems in the area of big data, bioengineering, communications, cryptography, distributed computing, image processing, and machine learning.