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Mission, Educational Objectives, and Student Outcomes
The Electrical Engineering program and the Computer Engineering program are both accredited by the Engineering Accreditation Commission of ABET.
Mission Statement
The mission of the Electrical and Computer Engineering Department is to prepare midshipmen to be leaders in today's technologically advanced Navy and Marine Corps by providing them with a firm understanding of the fundamentals of electrical and computer engineering.
Our graduates:
- Understand the principles that underlie electrical, electronic, and computational technology.
- Can apply their knowledge quantitatively and qualitatively to solve technical problems.
- Can communicate their ideas clearly, both orally and in writing.
- Work effectively either independently or in teams.
- Are aware of the larger moral and societal context for their actions, and are committed to the highest standards of ethical behavior.
- Engage in lifelong learning so that they can continue to serve the nation and contribute positively to their community throughout their career, whether or not they are in uniform.
Educational Objectives
Three to eight years after graduation, the Department of Electrical and Computer Engineering desires its graduates to be selfless and inspirational Navy or Marine Corps officers, expecting them to be:
- Professional and articulate leaders, capable of guiding a team of warfighters in technically complex tasks.
- Innovative and adaptable engineers, demonstrating proficiency in electrical or computer engineering fundamentals and succeeding in a broad range of technical roles, naval service professional schools, and graduate engineering programs.
Student Outcomes
Upon graduation students will have:
- an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
- an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
- an ability to communicate effectively with a range of audiences
- an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
- an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
- an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
- an ability to acquire and apply new knowledge as needed, using appropriate learning strategies
Computer Engineering
- EC 244 Electronics/ElectroMechanics
- EC 262 Digital Systems
- EC 356 Computer Networks with Security Applications
- EC 361 Microcomputer-Based Design
- EC 362 Computer Architecture
- EC 404 Operating Systems
- EC 415 Computer Engineering Design II
- EC 456 Wireless Networking
- EC 462 Advanced Computer Architecture
- EC 463 Microcomputer Interfacing
- EC 444 Hardware Security
- EC 486A Compilers
- EC 495 / EC 496 Computer Engineering Research
Electrical Engineering
- EE 221 Introduction to Electrical Engineering I
- EE 241 Electronics
- EE 320 Introduction to Electrical Engineering II
- EE 322 Signals and Systems
- EE 342 Advanced Electronics
- EE 344 Power Conversion
- EE 353 Probability, Statistics, and Linear Algebra for ECE
- EE 354 Modern Communication Systems with Cyber Applications
- EE 372 Engineering Electromagnetics
- EE 411 Electrical & Computer Engineering Design I
- EE 414 Electrical Engineering Design II
- EE 420 Electric Machines and Drives
- EE 426 Fundamentals of Electronic Instrumentation
- EE 431 Advanced Communication Theory
- EE 432 Digital Signal Processing
- EE 433 Wireless Communications
- EE 434 Wireless and Cellular Communication Systems II
- EE 435 Biometric Signal Processing
- EE 440 Brain-Machine Learning
- EE 451 Electronic Properties of Semiconductors
- EE 472 Fiber Optical Communications
- EE 473 Principles of RADAR and Electronic Warfare
- EE 475 Laser Fundamentals
- EE 486C Fiber Optic Communications and Sensing
- EE 495 / EE 496 Electrical Engineering Research
Electrical Engineering
Computer Engineering
CE/EE Dual Major
CE/CS Dual Major
