The graduate certificate in the field of high-performance computing (HPC) program provides a mechanism for practicing interdisciplinary computational engineers and scientists to acquire up-to-date knowledge in the advances of computer systems, in particular, the rapidly growing use of multicore processors, parallel computers, hardware accelerators, and networked computing platforms in applications. The program is tailored to provide students with necessary knowledge in all aspects of high performance computing including programming, applications, performance, architectures, and systems.
The certificate program may serve as an alternative to a master of science degree program for professionals who may not have the time to commit to a full graduate degree program, but who wish to align their background with the rapid changes in computing technologies and to expand their education beyond the bachelor's degree. All courses taken as part of this program may be transferred to the Department of Electrical and Computer Engineering's MS and/or Ph.D. programs. While the HPC certificate can be coupled with a graduate degree program, interested students must be admitted to and complete the HPC certificate program separately
The program consists of 4 courses, and is designed to be completed in one year. However, students may take longer to complete it, depending on their background and schedule.
Applicants admitted to the ECE Graduate Certificate Program are required to have a Bachelor's Degree in an engineering or scientific discipline with a grade point average of at least 3.0 (on a scale of 4) or equivalent, for the last 60 credit hours of undergraduate work. Applicants with degrees in non-ECE disciplines but with a basic knowledge of mathematics and physical sciences may be required to take some deficiency courses, to be determined by the faculty member acting as the Principal Advisor for this certificate program.
The following requirements must be fulfilled: 12 credits, including 6 credits in required courses and 6 credits in elective courses.
ECE 6105 Introduction to High-Performance Computing
At least one of the following:
ECE 6125 Parallel Computer Architecture
ECE 6130 Big Data and Cloud Computing
Six additional credits from the following:
CE 6210 Introduction to Finite Element Analysis
CE 6705 Nonlinear Finite Element Modeling and Simulation
CE 8330 Advanced Finite Element Analysis
CSCI 3571 Introduction to Bioinformatics
CSCI 4572 Computational Biology
CSCI 6421 Distributed and Cluster Computing
ECE 6005 Microcomputer Systems Architecture
ECE 6045 Special Topics
ECE 6050 Research
ECE 6120 Advanced Microarchitectures
ECE 6140 Embedded Systems
ECE 6213 Design of VlSI Circuits
ECE 6214 High-Level VLSI Design Methodology
ECE 6735 Numerical Electromagnetics
ECE 6800 Computational Techniques in Electrical Engineering
MAE 6225 Computational Fluid Dynamics
MAE 6291 Special Topics in Mechanical Engineering
PHYS 6130 Computational Physics I
PHYS 6230 Computational Physics II
PHYS 6330 Computational Physics III
PHYS 8110 Selected Topics in Theoretical Nuclear Physics
Credits taken for the certificate may be used towards a graduate degree, with academic advisor approval.
Students will be awarded the Graduate Engineering Certificate in "High-Performance Computing" after completion of all four of the courses in the program with a grade point average of 3.0 or higher.
The ECE department faculty advisor responsible for this program is Professor Tarek El-Ghazawi.
Admissions Requirements (Certificate)
Please follow the admissions requirements outlined by the SEAS Office of Graduate Admissions & Student Services.
800 22nd Street NW
5000 Science & Engineering Hall
Washington, DC 20052