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Master of Science in Electrical Engineering: Program Overview
  Questions: Prof. Marvi Teixeira mteixeir@caribe.net

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Program Overview
 

The Master of Science (Thesis option) and Master of Engineering (Non-Thesis option) are flexible programs that can be tailored to the student’s interest while providing solid grounding, through 9 credit-hours of core courses, on some of the key concepts and tools related to the Electrical Engineering field. The M.S.E.E. and the M.Eng.E.E. curriculum provide enough diversity to follow the rapid changes in the industry and also introduce the student to independent research.

M.S.E.E. (Thesis Option)
M.Eng.E.E. (Non Thesis Option)
6 Credits Thesis
9 Credits Core Courses
9 Credits Core Courses
30 Credits Elective Courses
15 Credits Electives Courses
 
Total : 30 Credits
Total : 39 Credits

Areas of Interest

 

By choosing appropriate elective courses at the graduate level the student can tailor the program to his/her specific interests. The counselor will work closely with the student in order to carefully choose the elective courses that fulfill the student’s professional expectations in breadth as well as in depth. The mentor will also recommend the degree option (thesis, non-thesis) that is considered most convenient to the student, based on the student’s background, professional and personal goals, preferences and needs.

The objective is to prepare the student for the specialized employment opportunities that cater to Master degree graduates, while also preparing them to pursue further studies at the Doctoral level.

The areas of interest that can be undertaken by an appropriate choice of core and elective courses offered by the EE Department are:

Communications Systems

 

The purpose of this area of interest is to prepare professionals with a strong background in Communication Systems. Upon graduation the engineer should be able to enter the telecommunication industry or pursue Doctoral studies. Besides Digital, Satellite and Wireless Communications Systems, there are several courses in Antenna and Electromagnetics so that the interested student can specialize further in those areas. A variety of courses are offered such as Digital Communication, Wireless Communication, Satellite Communication Systems, Computer Networks, Digital Signal Processing, Stochastic Processes, Antenna Theory, RF Design, and Engineering Electromagnetic Field Theory.

Digital Signal Processing

 

The purpose of this area of interest is to prepare engineers that can either enter into the DSP industry or that can pursue further graduate studies leading to a Doctoral degree. A diversity of courses cover coding, compression and information extraction providing adequate breadth and depth in the field. Some of the courses offered are Digital Signal Processing, Image Processing, Stochastic Processes, Pattern Recognition, Speech Processing, Algorithms for Signal Processing, Satellite Remote Sensing of the Oceans, Digital Communication and Artificial Neural Networks.

Graduate Profile

 

Students completing the M.S.E.E. program will be able to:

  • Keep abreast of the latest development in their areas of interest.
  • Read and analyze journal papers in their field of areas of interest.
  • Conduct independent research in their areas of interest (Thesis option).
  • Seek information on the current research and development being conducted in their area of interest.
  • Write papers or technical reports on areas in which they have conducted research or in areas in which they have sought information on current research and development.
  • Conduct technical or scientific presentations within a conference environment.
  • Use mainstream Engineering software such as MATLAB, Simulink, VisSim, Pspice, Serenade, etc.
  • Work in a research and development environment.
  • Enter the industry workforce and be able to conduct high technology work in their area of interest.
  • Pursue further graduate studies leading to a Doctoral degree.

Sample of DSP Application Areas

 

Telecommunications

Echo Cancellation, Adaptive Equalizers, Digital TV, Filtering, Voice and Data Compression, Signal Multiplexing, Error Correction.

Medical

Imaging (ultrasound, MRI), Data Analysis such as Electrocardiogram Analysis and Electroencephalogram Analysis.
Speech Processing Synthesis, Speech Recognition, Speech Compression, Language Identification, Speaker Identification.

Image Processing

Medical Imaging, Satellite Remote Sensing, Analysis of Synthetic Aperture Radar Images, Image and Video Compression (JPEG, MPEG), Image Filtering, Image Enhancement, VHDTV, Image Storage and Retrieval.

HiFi and Musical

Digital Audio, Music Synthesisers (Keyboards and Soundcards), CD players, Special Effects (Reverberation, Flanging, Chorusing and others.)

Industrial

Process Monitoring,Digital Controls,Nondestructive Testing, Computer Vision.

Defense

Encrypted Communications, Radar, Sonar, Underwater Acoustics, Guidance, Target Id & Tracking, Computer Vision.

Geosciences

Seismic Processing, Spectral Analysis, Data Acquisition, Image Processing, Data Acquisition and Analysis.
Consumer Applications
Cellular Technologies, Audio and Video Compression, Audio and Video Special Effects, Speech Recognition, Image Processing.

Space Aplications

Control, Communications, Data Compression, Image Analysis and Compression, Data Storage.
Some of the DSP tools used in the above fields are: Pattern Recognition, Digital Filtering, Compression, Artificial Neural Networks, Real Time Digital Signal Processing, Spectral Analysis and others.

Sample of Communication Systems Application Areas

 
  • Wireless Communication Systems
  • Satellite Communication Systems
  • Spread Spectrum Communication
  • Cellular Systems
  • Digital Communication Systems
  • Analog Communication Systems
  • Data Communications
  • Microwave Systems
  • Antennas
     
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