Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
1.5 years
Details
Program Details
Degree
Masters
Major
Electrical Engineering | Computer Engineering | Software Engineering
Area of study
Information and Communication Technologies | Engineering
Timing
Full time
Course Language
English
About Program

Program Overview


University Programs

The university offers a range of programs for undergraduate and graduate students.


Undergraduate Programs

  • Computer Engineering
  • Electrical Engineering

Graduate Programs

Overview

The Master of Science (M.S.) degree has both research and professional tracks. The research track provides students with the opportunity to work on a thesis under the close supervision of a faculty adviser.


Requirements

  • The minimum requirements for the research track are 24 credits of graduate course work and preparation and defense of a thesis on a topic in the student's primary area of interest.
  • For the professional option, the minimum requirement is 30 credits of graduate course work.
  • The M.S. degree program can usually be completed in 1 to 1ス years on a full-time basis.

Specializations

Students can tailor their individual MS program to emphasize different aspects of Electrical Engineering, including:


  • Biomedical Engineering
  • Computer Engineering
  • Control
  • Electric Power Engineering
  • Electronics
  • Image Processing - Computer Vision
  • Signal Processing - Communications

Biomedical Engineering

Several applications of electrical engineering technology are being investigated, often in collaboration with faculty in the Department of Bioengineering and/or the University of Pittsburgh Medical School. These projects include:


  • Modeling and analysis of postural control mechanisms
  • Functional evaluation of patients with chronic pain
  • Development of control strategies for heart-assist devices
  • Analysis of electroencephalograms and source localization
  • Electrocardiogram analysis
  • Remote physiological sensing and fabrication of implanted physiological sensors

Computer Engineering

Graduate course work in this area includes:


  • Computer architecture
  • Microprocessor systems
  • VLSI design
  • Design automation for VLSI
  • Software engineering
  • Computer networks
  • Automata theory Faculty/student research includes projects in:
  • Algorithm development
  • Digital implementation of real-time systems
  • Multiprocessor systems
  • Parallel computer architectures
  • Computer-aided engineering
  • Optical computing
  • VLSI architectures
  • Computer-aided design for VLSI
  • Microprocessor systems
  • Homogeneous and heterogeneous architectures
  • Parallel performance modeling and analysis
  • Cluster computing
  • Computer and communication networks Department laboratories that support this research are:
  • Optical Computing Systems Laboratory
  • Pittsburgh Integrated Circuits Analysis (PICA) Laboratory
  • Pitt Parallel Computer Laboratory
  • Network Communications Laboratory
  • Jurenko Computer Architecture Laboratory
  • Swanson Embedded Computing and Interfacing Laboratory

Control

Graduate courses offered in this area include:


  • Linear and nonlinear system theory
  • Optimal control theory
  • Computer control
  • Optimization methods
  • Optimal stochastic systems Faculty/student research in this area includes:
  • Control system theory with emphasis on control of artificial organs
  • Real-time computer control of power systems
  • Statistical process control

Electric Power Engineering

The graduate electric power engineering program offers comprehensive coursework covering all aspects of modern and future electric power systems. The curriculum provides a cross-section of the electric power system, from transmission and distribution, power electronic converters, to advanced control application and design. Close partnerships with industry collaborators have resulted in both co-developed course material and guest lecturers who are leaders in their respective fields, providing students with an education that is both highly technical and highly relevant to their professional futures.


Electronics

Graduate courses are offered in the following topics:


  • Quantum electronics
  • Semiconductor optics and devices
  • High-speed electronics devices
  • Semiconductor lasers
  • Monolithic integrated circuits
  • Fundamentals of semiconductor and quantum electronic devices Current research projects are in:
  • Microelectronics
  • Semiconductor device modeling
  • Computer-aided design
  • Analog circuit design
  • Linear and nonlinear optical devices
  • Solid state lasers
  • High speed electro-optic modulators
  • Electro-optical field sensors
  • Phase conjugation
  • Optoelectronic integrated devices
  • Low dimensional structures
  • Resonant tunneling
  • Quantum well infrared detectors
  • Semiconductor materials and devices
  • Optoelectronic devices
  • Integrated optics Some of this research is supported by the Laser Laboratory and the Opto-electronics Laboratory.

Image Processing - Computer Vision

Graduate courses are offered in:


  • Digital image processing
  • Topological algorithms for image processing
  • Pattern recognition
  • Computer vision Research is being conducted on the following topics:
  • Computer vision
  • Topological algorithms and architectures
  • Digital topology
  • Pattern recognition
  • Biomedical image processing
  • Applications of wavelet transform
  • Magnetic resonance imaging
  • Imagery construction
  • Computation in medical imaging Research in this area is supported by the Laboratory for Computer Vision and Pattern Recognition.

Signal Processing - Communications

Graduate courses are offered in:


  • Stochastic processes
  • Digital signal processing
  • Statistical signal processing
  • Modern spectral estimation
  • Time-frequency signal analysis
  • Digital speech processing
  • Digital communications
  • Information theory Current research projects in this area are in:
  • Motion analysis to relate body movements to pain
  • Knowledge-based signal processing
  • Statistical signal processing
  • Multidimensional system theory
  • Digital processing of speech signals
  • Spectral estimation
  • Neural networks
  • Stochastic signal processing as applied to communications
  • Image coding
  • Optical processing
  • Nonstationary signal processing
  • Time-frequency distributions
  • Biomedical signal analysis
  • Machine fault monitoring
  • Acquisition and analysis of electrical and magnetic data from the central nervous system
  • Array signal processing
  • Geophysical applications The Applied Signal and System Analysis Laboratory supports research in this area.
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