Graduate Certificate Programs in Electrical & Computer Engineering
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Electrical and Computer Engineering Graduate Certificates:
Éù&²Ô²ú²õ±è;Communications Engineering
Éù&²Ô²ú²õ±è;Microwave and Wireless Engineering
Éù&²Ô²ú²õ±è;Stochastic Systems
Éù&²Ô²ú²õ±è;VLSI and Microelectronics
Interdisciplinary Graduate Certificates:
Éù&²Ô²ú²õ±è;Biomedical Engineering
Éù&²Ô²ú²õ±è;Energy Conversion
Éù&²Ô²ú²õ±è;Integrated Engineering Systems
Éù&²Ô²ú²õ±è;Nanotechnology
Éù&²Ô²ú²õ±è;Photonics and Optoelectronics
Éù&²Ô²ú²õ±è;Telecommunications
Graduate certificate programs are ideal for bachelor's degree-prepared engineers who wish to continue their studies without making the commitment of a master's program. Students may want to brush-up on new developments in their field or investigate another specialty. Certificates are earned by taking four courses from a list associated with each certificate. ECE certificates can be used as concentrations in the ECE Master’s programs.
Credits earned from these graduate certificates may be used toward a graduate degree with the approval of the graduate program coordinator.
Each of these certificates are described below and include the name and contact information of the certificate coordinator.
51ÊÓƵ Graduate Certificates
Most graduate certificates are comprised of four courses (12 graduate credits) designed to provide specific knowledge and expertise vital to today's changing and complex needs in the work place. In most cases courses may be applied toward a degree program.
Requirements to Complete a Graduate Certificate
The four courses must be completed within a five year period with a minimum 3.0 grade point average, and with no more than 6 credits below B. Courses completed for one certificate may not be used for another certificate.
Certificate Application Process
Individuals must complete a simplified application, provide an official undergraduate transcript indicating that a baccalaureate degree has been awarded, and submit a nominal application fee. GRE's are not required.
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Communications Engineering Certificate
Electrical and Computer Engineering Department
Contact:
Dr. Kavitha Chandra
978-934-3356
kavitha_chandra@uml.edu
This certificate provides a fundamental background in the understanding of information transmission, statistical properties of signals and noise, and both analog and digital modulation/demodulation techniques. Advanced topics in modern communications and the characterization of communication channels are covered in optional courses in coding, error correction, information measures, stochastic system modeling and wireless communications. The holder of the certificate will have both analytical and practical competence to contribute significantly to the design and development of new and updated communications systems.
This is a 12 credit certificate; all courses are 3 credits each.
Required Courses:
16.543 Communications Theory
16.584 Probability and Random Processes
Elective Courses: (Choose two of the following)
16.548 Coding and Information Theory
16.582 Wireless Communication
16.618 Performance of Wireless Communications Networks
16.685 Statistical Communication Theory
16.687 Applied Stochastic Estimation
Microwave and Wireless Engineering Certificate
Electrical and Computer Engineering Department
Contact:
Dr. Tenneti C. Rao
978-934-3323
tenneti_rao@uml.edu
Wireless technologies are of increasing importance in a variety of personal communications and control applications. The certificate is open to students who have an interest in learning the fundamentals and engineering applications of radio wave and microwave devices and systems. The integrated set of courses offers graduate level skills and knowledge which will provide a background for those wishing to participate in this rapidly expanding field. The certificate is open to students with a BS degree in electrical engineering or in related disciplines such as physics or electronics engineering technology with an appropriate background in electromagnetics.
This is a 12 credit certificate; all courses are 3 credits each.
Required Courses:
16.531 Radio Frequency (RF) Design
16.532 Microwave Engineering
16.582 Wireless Communications
Elective Courses: (Choose one of the following)
16.506 Antenna Design
16.571 Radar System
16.618 Performance of Wireless Communication Networks
Stochastic Systems Certificate
Electrical and Computer Engineering Department
Contact:
Dr. Oliver Ibe
978-934-3118
oliver_ibe@uml.edu
This certificate provides a thorough grounding in the modeling of signals represented as random functions of time. A background in linear system theory, signal transforms and the theory of probability and random processes is given. The certificate is completed by choosing specialized courses in time series analysis, statistical communication theory or applied stochastic estimation. These courses deal with the estimation of signals and of noise using a variety of mathematical models such as likelihood and entropy based techniques, matched, adaptive and nonlinear filtering of signals. The holder of this certificate will have the analytical and practical competence to design for and evaluate probabilistic issues in communications, complex systems, and/or networks.
This is a 12 credit certificate; all courses are 3 credits each.
Required Courses:
16.584 Probability and Random Processes
16.711: Special Topics in ECE: Advanced Markov Methods
Elective Courses: (Choose two of the following)
16.509 Linear Systems Analysis
16.543 Theory of Communication
16.687 Applied Stochastic Estimation
VLSI & Microlectronics Certificate
Department of Electrical & Computer Engineering
Contact:
Dr. Kanti Prasad
978-934-3326
kanti_prasad@uml.edu
The purpose of this certificate program is to provide essential background in solid state physical electronics and very large scale integrated (VLSI) circuit fabrication. These courses, combined with two electives, will provide a customized background to the subject but with sufficient depth in an area of choice to provide tangible useful expertise.
This is a 12 credit certificate; all courses are 3 credits each.
Required Courses: (Choose two of the following)
16.502 VLSI Design
16.595 Solid State Electronics
16.504 VLSI Fabrication
16.508 Quantum Electronics for Engineers
Elective Courses: (Choose two of the following)
16.502 VLSI Design
16.505 Microwave Electronics
16.507 Electromagnetic Waves and Materials
16.508 Quantum Electronics for Engineers
16.517 MMIC Design and Fabrication
16.565 Analog Devices
16.568 Electro Optics and Integrated Optics
The Electrical and Computer Engineering Department also participates in the following interdisciplary certificate programs:
Biomedical Engineering Certificate
Electrical & Computer Engineering Department
Dr. Mufeed Mah’d 978-934-3317
Mufeed_Mahd@uml.edu
Image data are of increasing importance in Biomedical Engineering and
Biotechnology. The application of microelectronic circuitry, high performance
processors, and improved algorithms based on advanced mathematics has resulted
in innovative new methodologies to acquire and process image data, permitting
visualization, quantification, and functional analysis of tissues and organs. The
Biomedical Engineering Graduate Certificate is a multidisciplinary program,
spanning courses in several departments in the College of Engineering including
Departments of Electrical and Computer Engineering, Plastic Engineering, Chemical
and Nuclear Engineering, as well as the Biomedical Engineering and Biotechnology
program. The certificate provides an excellent opportunity for educational
experience to learn the principles and applications of imaging technology. It is a
coordinated program of courses, seminars, and laboratory experiences jointly
offered by the participating departments. This is a 12 credit program comprised of two required three-credit courses, and two elective three-credit courses.
Required Courses:
16.511 Medical Imaging Diagnosis (IB511)
16.560 Biomedical Instrumentation (IB560)
Elective Courses: (Choose two of the following)
16.510 Digital Signal Processing (IB510)
IB.500 Introduction to Biomedical Engineering and Biotechnology
IB512 Medical Image Processing
IB516 Principles of Nuclear Magnetic Resonance Imaging
IB517 Embedded System Design in Medical Systems
19.531 Occupational Biomechanics
24.542 Microscopy of Advanced Materials
24.541 AFM and X-ray Diffraction Analysis of Advanced Materials
26.553 Polymers in Medicine I
26.575 Biomaterials
IB 512 Medical Image Processing
Energy Conversion Certificate
Electrical and Computer Engineering Department
Dr. Ziyad Salameh 978-934-3333
ziyad_salameh@uml.edu
Energy conversion is a discipline that spans across three departments: Electrical, Mechanical and Chemical & Nuclear Engineering. Interest is rising for practical applications in the housing industry to supply houses with clean sources of energy to meet electrical supply needs, as well as for space heating/ cooling. All renewable energy sources will be considered (e.g. wind energy and photovoltaics). Information about batteries, battery charging stations, battery chargers and energy conversion devices (such as rectifiers, inverters, choppers, controllers) is presented as related to the development of low emission vehicles.
Choose four of the following courses:
16.515 Power Electronics
16.525 Power Systems Distribution
16.528 Alternative Energy Sources
16.529 Electric Vehicle Technology
22.521 Fundamentals of Solar Energy Engineering
22.527 Solar Energy Engineering
Integrated Engineering Systems Certificate
Applied Physics, Computer Engineering, Computer Science, Electrical Engineering, Materials Engineering, Mechanical Engineering, Plastics Engineering Departments
Contact:
Dr. Craig Armiento
978-934-3395
Craig_Armiento@uml.edu
As companies increasingly undertake engineering projects that bring together a wide range of disciplines for manufacturing an integrated product, it is often necessary to assemble teams of experts in these various disciplines, and prepare managers who have a fundamental, overall understanding of several different engineering areas. The certificate is designed to respond to the need for trained professionals who are responsible for managing complex engineering systems integrating algorithms, information, software and hardware. Completion of certificate courses in areas complementary to the individual's specific training will serve as an important starting point for engineering managers (and prospective managers) who need to solve complex interdisciplinary problems at the interfaces of electrical, computer, mechanical, materials engineering, and computer science and applied physics.
The program consists of six clusters:
1) Applied Physics
2) Computer Engineering
3) Computer Science
4) Electrical Engineering
5) Materials Engineering
6) Mechanical Engineering
Within each cluster, there are a number of carefully selected courses ranging from introductory graduate level to more advanced, specialized electives.
Students must successfully complete four courses (12 credits), one or two of which may be taken in their area of expertise. The remaining courses must be taken in separate and different cluster areas. Courses are selected in consultation with one (or more) graduate program coordinators to best meet the student's needs in terms of background, interests, and work requirements. It may be necessary for students to take prerequisite course(s) if they do not have appropriate backgrounds for a particular cluster course.
CLUSTER AREAS AND DESIGNATED COURSES:
Applied Physics
95.553 Electromagnetism I
95.554 Electromagnetism II
95.540 Image Processing (4 credits)
95.578 Integrated Optics: Wave Guide and Lasers
95.535 Introduction of Quantum Mechanics I
95.547 Laser Physics and Applications
95.538 Physical Optics and Waves
95.577 Solid State Electronic and Opto-Electronic Devices
95.521 Statistical Thermodynamics
Computer Engineering
16.550 Advanced Digital System Design
16.561 Computer Architecture Design
16.581 Computer Vision and Digital Image Processing
16.510 Digital Signal Processing
16.572 Embedded Real-Time Systems
16.575 FPGA Logic Design Techniques
16.552 Microprocessors Systems II and Embedded Systems
16.582 Network Design: Principles, Protocols, and Applications
16.573 Operating Systems and Kernel Design
16.521 Real Time DSP
16.502 VLSI Design
16.504 VLSI Fabrication
Computer Science
91.561 Computer Security I
91.562 Computer Security II
91.563 Data Communications I
91.564 Data Communications II
91.549 Mobile Robots
91.515 Operating Systems I
91.516 Operating Systems II
91.548 Robot Design
91.523 Software Engineering I
91.524 Software Engineering II
Electrical Engineering
16.528 Alternative Energy Sources
16.506 Antenna Theory and Design
16.532 Computational Electromagnetics
16.513 Control Systems
16.529 Electric Vehicle Technology
16.507 Electromagnetic Waves and Materials
16.512 Electronic Materials
16.519 Engineering of Submicron Machines
16.590 Fiber Optic Communications and Networks
16.543 Theory of Communication
16.509 Linear System Analysis
16.505 Microwave Electronics
16.533 Microwave Engineering
16.515 Power Electronics
16.584 Probability and Random Processes
16.571 Radar Systems
16.517 MMIC Design and Fabrication
Materials Engineering
26.544 Advanced Plastics Materials
10.506 Interfacial Science and Engineering and Colloids
10.507 Material Science and Engineering
26.503 Mechanical Behavior of Polymers
10.523 Nanodevices and Electronic Materials
10.527 Nanomaterials Science and Engineering
10.541 Nanostructural Characterization by SEM, TEM, and AFM
26.518 Plastics Product Design
Mechanical Engineering
22.512 Applied Finite Element Analysis
22.571 Concurrent Engineering and Quality
22.523 Cooling of Electronic Equipment
22.574 Design for Reliability Engineering
22.516 Experimental Modal Analysis
22.524 Fundamentals of Acoustics
22.575 Industrial Design of Experiments
22.573 Manufacturing Systems Engineering
22.591 Mechanical Behavior of Materials
22.515 Modal Analysis- Theoretical Methods
22.579 Robotics
22.562 Solid Mechanics
22.527 Solar Systems Engineering
22.550 Vibrations
Nanotechnology Certificate
Civil & Environmental, Mechanical, Plastics Engineering Departments
Dr. Jackie Zhang 978-934-2287
jackie_zhang@uml.edu
The program will provide students with a fundamental knowledge of nanotechnology and is intended to respond to the increasing demand for trained professionals in nanoscience and technology. The certificate is designed for students with a background in chemistry, physics, biology, or any branch of engineering who want nanotechnology and nanomanufacturing workforce preparation. Students may focus on a concentration area based on their interests and background. Courses in each concentration area are carefully designed to provide both analytical and practical competence. Students may take any combination from the electives list.
Core Courses - Required:
25.550 Introduction to Nanotechnology
Core Courses: (Choose one)
10.541 Nanostructural Characterization by SEM, TEM, and AFM
84.510 Electron Microscopy of Advanced Materials
84.525 Analysis of Advanced Materials
Elective Courses: (choose two courses)
Materials
10.527 Nanomaterials Science and Engineering
10.506 Interfacial Science and Engineering and Colloids
22.591 Mechanical Behavior of Materials
26.513 New Plastics Materials
26.598 Smart Polymers
Manufacturing
10.523 Electronic Materials Processing
10.535 Cell & Microbe Cultivation
10.545 Isolation & Purification of Biotech Products
16.504 VLSI Fabrication
26.502 New Plastics Processing Techniques
26.578 Advanced Polymer Processing
xx.xxx Processing of Nanocomposites
Design and Devices
16.710: Special Topics in ECE: Nanoelectronics
16.502 VSLI Design
16.512 Electronic Materials
16.508 Quantum Electronics for Engineers
Health and Environmental Impacts
19.514 Aerosol Science
19.525 Industrial Hygiene and Ergonomics
19.557 Toxic Use Reduction
19.610 Exposure Assessment
19.617 Measurements of Airborne Contaminants
19.503 Toxicology and Health
Photonics & Opto-Electronic Devices Certificate
Physics Department and Electrical & Computer Engineering Department
Dr. James Egan 978-934-3774 / 978-934-3300
james_egan@uml.edu
The certificate is offered jointly by the Electrical & Computer Engineering & Physics Departments and reflects the strong interests in the physics and technologies of electro-optics. Extensive research facilities include: new materials growth (molecular beam epitaxy) and device fabrication and testing laboratories.
Required Courses:
95.577 Solid State Electronic & Opto-electronic Devices
-and-
95.539 Electro-optics-OR-
16.595 Solid State Electronics
-and-
16.568 Electro Optics and Integrated Optics
Elective Courses: (choose two of the following):
16.507 Electromagnetic Waves and Materials
16.508 Quantum Electronics for Engineers
16.590 Fiber Optic Communications
16.607 Electromagnetics of Complex Media
16.669 Opto Electronic Devices
95.547 Laser Physics & Applications
95.631 Nonlinear Optics
95.578 Integrated Optics: Wave Guides & Lasers
Telecommunications Certificate
Computer Science Department
Dr. Byung Kim 978-934-3617
byung_kim@uml.edu
The graduate certificate consists of courses from both the Computer Science and Electrical Engineering Departments. It is intended for students who hold a baccalaureate degree in science or engineering and who wish to concentrate on hardware/software issues pertaining to telecommunications.
Required Courses:
16.543 Theory of Communication
91.555 Computer Networks
91.563 Data Communications I
Plus One Approved Elective