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Electrical Engineering (BS)

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Electrical and Computer Engineering Bachelors BS

Variable Credit Min

90

Variable Credit Max

90

Major Academic Plan

Title

Engineering Problems

Learning Outcome

An ability to identify formulate and solve complex engineering problems by applying principles of engineering science and mathematics.

Title

Engineering Design

Learning Outcome

An ability to apply engineering design to produce solutions that meet specified needs with consideration for public health safety and welfare as well as global cultural social environmental and economic factors.

Title

Communication

Learning Outcome

An ability to communicate effectively with a range of audiences.

Title

Ethics

Learning Outcome

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.

Title

Teamwork

Learning Outcome

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.

Title

Experimentation

Learning Outcome

An ability to develop and conduct appropriate experimentation analyze and interpret data and use engineering judgment to draw conclusions.

Title

Lifelong Learning

Learning Outcome

An ability to acquire and apply new knowledge as needed using appropriate learning strategies.

Program Requirements

The Electrical Engineering Baccalaureate program is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org.

Students are required to pass major courses with a grade of C- or better before taking follow-on courses.

Requirement 1 — Complete 24 Courses

course - Intro to Computer Science 3.0

course - Data Structures 3.0

course - New Student Seminar 0.5

course - Freshman Project - 1.0

course - Introduction to Computer Sys 3.0

course - Computer Systems Lab - 1.0

course - Circuits 4.0

course - Intro Embedded Programming 4.0

course - Electronic Circuit Design 1 4.0

course - EM Fields and Waves 4.0

course - Signals & Systems 4.0

course - Jr. Team Design Project 3.0

course - Junior Seminar 0.5

course - Capstone Design 1 3.0

course - Capstone Design 2 3.0

course - Calculus 1 4.0

course - Calculus 2 4.0

course - Elementary Linear Algebra 2.0

course - Computational Linear Algebra 1.0

course - Calculus of Several Variables 3.0

course - Ordinary Differential Equation 3.0

course - Intro to Newtonian Mechanics 3.0

course - Intro Electricity & Magnetism 3.0

course - Stat for Engineers & Scientist 3.0

Requirement 2 — Complete 2 Requirements

Requirement 2.1 — Complete 1 of 2 Courses

course - Gen College Chem 1+Lab Integr 4.0

course - Principles of Chemistry 1 4.0

Requirement 2.2 — Complete 1 of 2 Courses

Note: WRTG 312 recommended

course - Persuasive Writing 3.0

course - Technical Communication 3.0

Complete at least 16 credit hours of TECHNICAL ELECTIVES from the following two requirements.

Requirement 3 — Complete 8 hours

Technical Electives:

course - Mixed-Signal VLSI 4.0

course - Power Electronics 4.0

course - Intro Semicond Dev 3.0

course - Experiments in IC Development 1.0

course - EM Radiation & Propagation 2.0

course - Wireless Communicatn Circuits 2.0

course - Intro to Optical Engineering 2.0

course - Machine Learning: Found & Apps - 4.0

course - Design of Control Systems 4.0

course - Digital Communication Theory 4.0

course - Introduction to DSP 4.0

Requirement 4 — Complete 8 hours

Technical Electives. (Note: EC En courses will not double count.) Other engineering, mathematics, physics, or computer science courses as specified or approved by the EC En department are also acceptable.

course - Discrete Structure 3.0

course - Adv Software Construction 4.0

course - Software Design 3.0

course - Operating Systems Design 3.0

course - Software Engineering 3.0

course - Algorithmic Lang & Compilers 3.0

course - Database Modeling Concepts 3.0

course - Computer Graphics 3.0

course - Intro to User Interface Softwr 3.0

course - Comp Comms & Networking 3.0

course - Distributed System Design 3.0

course - Computer Security 3.0

course - Intro Artificial Intelligence 3.0

C S 472 - Intro to Machine Learning 3.0 - This course is no longer available

course - Deep Learning 3.0

course - Digital Systems 4.0

course - Biomedical Instrumentation 4.0

course - Computer Organization 4.0

course - Real-Time Operating Systems 4.0

course - Computer Networks 4.0

course - Embedded Systems 4.0

course - Intro to Robotics & Autonomy - 4.0

course - Mixed-Signal VLSI 4.0

course - Power Electronics 4.0

course - Intro Semicond Dev 3.0

course - Experiments in IC Development 1.0

course - EM Radiation & Propagation 2.0

course - Wireless Communicatn Circuits 2.0

course - Intro to Optical Engineering 2.0

course - Design of Control Systems 4.0

course - Digital Communication Theory 4.0

course - Introduction to DSP 4.0

course - Encryption Implementation 3.0

course - Theory of Analysis 1 3.0

course - Theory of Analysis 2 3.0

course - Intro to Complex Analysis 3.0

course - Graph Theory 3.0

course - Abstract Algebra 1 3.0

course - Abstract Algebra 2 3.0

course - Numerical Methods 3.0

course - Intro Partial Differential Eqs 3.0

course - Combinatorics 3.0

course - Number Theory 3.0

course - Modern Physics 3.0

Requirement 5 — Obtain confirmation from your advisement center that you have completed the following:

Complete the department exit interview.