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Welcome to Electrical Engineering Technology

The EET program is a traditional electrical and electronic engineering technology program with extra concentration in subject areas that are particularly important to industry in the Northeast. These subject areas are: analog electronic design, process control and communication systems, electrical machinery operation and microcomputer applications. All courses in the program are taught in a way that includes a strong component of practical applications, along with basic theoretical concepts. During the first two years of the program students receive a firm grounding in mathematics and the physical sciences. Introductory courses cover topics such as:

  • DC Circuit Analysis
  • Microcontroller Programming
  • Computer Programming
  • Analog Circuit Fundamentals
  • AC Circuit Analysis
  • Digital Electronics
  • Microcomputer Applications
  • Technical Communications

The program then allows students to pursue two possible options.  For those focused on electrical engineering, they may choose the electrical option.  This option provides the student with a well-rounded coverage of electrical engineering topics such as electronic design, sequential motion control, PID control, electric machinery and power systems analysis.

For those more interested in information technology, we offer the information technology option.  With this option, students chooses from a wide range of courses in computer engineering, information systems engineering, new media, computer science and management information systems.

The electrical option includes technical engineering courses such as:

  • Instrumentation Design and Applications
  • Statistical Process Control
  • Electromechanical Systems
  • Programmable Logic Control
  • Control Systems Design
  • Power Electronic Drives
  • Transformers and Switchgear
  • Fault Analysis and Protective Device Coordination

The information technology option includes courses such as:

  • Unix Systems Administration
  • Introduction to Artificial Intelligence
  • Hardware Applications using C
  • Neural Networks
  • Industrial Computer Control
  • Parallel Programming
  • Computer Architecture and Organization
  • Computer Networks
Electrical Engineering Technology
5711 Boardman Hall, Room 119
Orono, Maine 04469-5711
Phone: (207) 581-2340 | Fax: (207) 581-2113
E-mail: linda.liscomb@umit.maine.edu
The University of Maine
Orono, Maine 04469
207.581.1865