Electrical Engineering (BS): Artificial Intelligence and Machine Learning Concentration
The EE core courses provide a foundation for all EE students in electric circuits, digital logic, computer systems, programming, signals, linear systems, microelectronics, electromagnetics, teaming and communication, and the social and ethical dimensions of the practice of electrical and computer engineering.
EE offers a robust set of concentrations to guide students in their studies. All concentrations within EE share the core courses required by the major. Concentrations are offered in the following areas: Analog Circuits, Artificial Intelligence and Machine Learning, Biomedical Instrumentation, Communications and Signal Processing, Controls and Robotics, Digital Circuits, Electronic Devices, Music Technology, Optics and Photonics, Power Systems, and Radio Frequency Circuits.
Each EE concentration contains 24 hours of work. Students will take 12 hours from a prescribed list of courses that provide the necessary depth and background to pursue a career in the area. An additional 12 hours from a broader list of 鈥渙pen鈥� electives are also required as part of the concentration, and these are meant to reinforce and add breadth to that area. There are many connections between areas and too many to explicitly list, and therefore, the open category gives students the freedom to choose courses that either broaden or deepen their expertise as they determine appropriate in consultation with their advisor. Furthermore, the open elective list intentionally allows students to take courses outside of ECE, such as other engineering, math, or science courses.
In their final year, all Electrical Engineering majors participate in a two-semester senior design course sequence. Students work in teams to solve an engineering problem identified by faculty or industrial sponsors. Over the course of two semesters, students gain experience designing, documenting, and communicating about their project to various audiences.
This curriculum leads to a Bachelor of Science in Electrical Engineering and is nationally accredited by ABET, .
The Artificial Intelligence and Machine Learning (AI/ML) concentration prepares student to enter this rapidly growing industry. Required courses in linear algebra and machine learning provide a robust mathematical foundation. Elective courses cover neural networks, data science, and signal processing.
Plan Requirements
| Code | Title | Hours |
|---|---|---|
| Major Field of Study Requirements | ||
| Math | ||
| 惭础听141 | Calculus I 1,2 | 4 |
| 惭础听241 | Calculus II 1,2 | 4 |
| 惭础听242 | Calculus III | 4 |
| 厂罢听371 | Introduction to Probability and Distribution Theory | 3 |
| Science | ||
| 颁贬听101 &补尘辫;听颁贬听102 | Chemistry - A Molecular Science and General Chemistry Laboratory 1,2 | 4 |
| 笔驰听205 &补尘辫;听笔驰听206 | Physics for Engineers and Scientists I and Physics for Engineers and Scientists I Laboratory 1,2 | 4 |
| 笔驰听208 &补尘辫;听笔驰听209 | Physics for Engineers and Scientists II and Physics for Engineers and Scientists II Laboratory | 4 |
| Electrical Engineering Core | ||
| 贰颁贰听109 | Introduction to Computer Systems 3 | 3 |
| 贰颁贰听200 | Introduction to Signals, Circuits and Systems 3 | 4 |
| 贰颁贰听209 | Computer Systems Programming 3 | 3 |
| 贰颁贰听211 | Electric Circuits 3 | 4 |
| 贰颁贰听212 | Fundamentals of Logic Design 3 | 3 |
| 贰颁贰听220 | Analytical Foundations of Electrical and Computer Engineering 3 | 3 |
| 贰颁贰听301 | Linear Systems | 3 |
| 贰颁贰听302 | Microelectronics | 4 |
| 贰颁贰听303 | Electromagnetic Fields | 3 |
| 贰颁贰听380 | Engineering Profession for Electrical Engineers | 1 |
| 辞谤听贰颁贰听381 | Engineering Profession for Computer Engineers | |
| 辞谤听贰颁贰听383 | Introduction to Entrepreneurship and New Product Development | |
| 贰颁贰听484 | Electrical and Computer Engineering Senior Design I | 3 |
| 辞谤听贰颁贰听482 | Engineering Entrepreneurship Senior Design I | |
| 贰颁贰听485 | Electrical and Computer Engineering Senior Design II | 3 |
| 辞谤听贰颁贰听483 | Engineering Entrepreneurship Senior Design II | |
| AI/ML Concentration | ||
| 惭础听305 | Introductory Linear Algebra and Matrices 6 | 3 |
| 辞谤听惭础听405 | Introduction to Linear Algebra | |
| 贰颁贰听411 | Introduction to Machine Learning | 3 |
| AI/ML Required Electives | 6 | |
| Open Electives 5 | 12 | |
| Other Major | ||
| 颁翱惭听110 | Public Speaking | 3 |
| 贰狈骋听331 | Communication for Engineering and Technology | 3 |
| College Requirements | ||
| 贰听101 | Introduction to Engineering & Problem Solving 3 | 1 |
| 贰听102 | Engineering in the 21st Century 3 | 2 |
| 贰听115 | Introduction to Computing Environments 3 | 1 |
| Other | ||
| 贰颁听205 | Fundamentals of Economics | 3 |
| 辞谤听贰颁听201 | Principles of Microeconomics | |
| 辞谤听础搁贰听201 | Introduction to Agricultural & Resource Economics | |
| 辞谤听础搁贰听201A | Introduction to Agricultural & Resource Economics | |
| Total Hours | 101 | |
| Code | Title | Hours |
|---|---|---|
| GEP Courses | ||
| 贰狈骋听101 | Academic Writing and Research 3 | 4 |
| GEP Humanities | 6 | |
| GEP Social Sciences | 3 | |
| GEP Health and Exercise Studies | 2 | |
| GEP Elective | 3 | |
| GEP Interdisciplinary Perspectives | 3 | |
| GEP Global Knowledge (verify requirement) | ||
| GEP Foundations of American Democracy (verify requirement) | ||
| World Language Proficiency (verify requirement) | ||
| Total Hours | 21 | |
AI/ML Required Electives听
| Code | Title | Hours |
|---|---|---|
| 贰颁贰听410 | Introduction to Signal Processing 4 | 3 |
| 辞谤听贰颁贰听510 | Introduction to Signal Processing | |
| 贰颁贰听425 | Neural Networks and Deep Learning | 3 |
| 贰颁贰听512 | Data Science from a Signal Processing Perspective 4 | 3 |
| 贰颁贰听558 | Digital Imaging Systems 4 | 3 |
| 顿厂础听201 | Introduction to R/Python for Data Science 7 | 1 |
| 顿厂础听202 | Introduction to Data Visualization 7 | 1 |
| 顿厂础听205 | Data Communication 7 | 1 |
| 顿厂础听225 | Data Science for Social Good 7 | 1 |
| 顿厂础听235 | Introduction to Data Science for Cybersecurity 7 | 1 |
| 顿厂础听405 | Data Wrangling and Web Scraping 7 | 1 |
| 顿厂础听406 | Exploratory Data Analysis for Big Data 7 | 1 |
| 顿厂础听412 | Exploring Machine Learning 7 | 1 |
翱辫别苍听贰濒别肠迟颈惫别蝉听
Open Electives
Choose from the ECE Elective List or the other Open Electives listed below
ECE Elective
| Code | Title | Hours |
|---|---|---|
| 贰颁贰听402 | Communications Engineering | 3 |
| 贰颁贰听403 | Electronics Engineering | 3 |
| 贰颁贰听404 | Introduction to Solid-State Devices | 3 |
| ECE 406/506 | Architecture Of Parallel Computers | 3 |
| 贰颁贰听407 | Introduction to Computer Networking | 3 |
| ECE 410/510 | Introduction to Signal Processing | 3 |
| 贰颁贰听411 | Introduction to Machine Learning | 3 |
| ECE 418/518 | Wearable Biosensors and Microsystems | 3 |
| 贰颁贰听420 | Wireless Communication Systems | 3 |
| 贰颁贰听421 | Introduction to Signal Processing | 3 |
| 贰颁贰听422 | Transmission Lines and Antennas for Wireless | 3 |
| 贰颁贰听423 | Introduction to Photonics and Optical Communications | 3 |
| ECE 424/524 | Radio System Design | 3 |
| 贰颁贰听426 | Analog Electronics Laboratory | 3 |
| 贰颁贰听434 | Fundamentals of Power Electronics | 3 |
| 贰颁贰听436 | Digital Control Systems | 3 |
| 贰颁贰听442 | Introduction to Integrated Circuit Technology and Fabrication | 3 |
| 贰颁贰听451 | Power System Analysis | 3 |
| ECE 452/552 | Renewable Electric Energy Systems | 3 |
| 贰颁贰听453 | Electric Motor Drives | 3 |
| 贰颁贰听455 | Industrial Robot Systems | 3 |
| ECE 456/556 | Mechatronics | 3 |
| ECE 460/560 | 3 | |
| ECE 461/561 | Embedded System Analysis and Optimization | 3 |
| ECE 463/563 | Microprocessor Architecture | 3 |
| ECE 464/564 | ASIC and FPGA Design with Verilog | 3 |
| ECE 465/565 | Operating Systems Design | 3 |
| ECE 466/566 | Compiler Optimization and Scheduling | 3 |
| ECE 468/568 | Conventional and Emerging Nanomanufacturing Techniques and Their Applications in Nanosystems | 3 |
| 贰颁贰听470 | Internetworking | 3 |
| ECE 488/588 | Systems Biology Modeling of Plant Regulation | 3 |
| ECE 489/589 | Solid State Solar and Thermal Energy Harvesting | 3 |
| 贰颁贰听492 | Special Topics in Electrical and Computer Engineering | 1-4 |
| 贰颁贰听505 | Neural Interface Engineering | 3 |
| 贰颁贰听511 | Analog Electronics | 3 |
| 贰颁贰听513 | Advanced Digital Signal Processing | 3 |
| 贰颁贰听514 | Random Processes | 3 |
| 贰颁贰听515 | Digital Communications | 3 |
| 贰颁贰听516 | System Control Engineering | 3 |
| 贰颁贰听517 | Object-Oriented Design and Development | 3 |
| 贰颁贰听522 | Medical Instrumentation | 3 |
| 贰颁贰听523 | Photonics and Optical Communications | 3 |
| 贰颁贰听530 | Physics of Semiconductors | 3 |
| 贰颁贰听531 | 3 | |
| 贰颁贰听532 | 3 | |
| 贰颁贰听533 | Power Electronics Design & Packaging | 3 |
| 贰颁贰听534 | Power Electronics | 3 |
| 贰颁贰听535 | Design of Electromechanical Systems | 3 |
| 贰颁贰听536 | Digital Control System Projects | 3 |
| 贰颁贰听538 | Integrated Circuits Technology and Fabrication | 3 |
| 贰颁贰听540 | Electromagnetic Fields | 3 |
| 贰颁贰听541 | Antennas and Arrays | 3 |
| 贰颁贰听542 | Neural Networks and Deep Learning | 3 |
| 贰颁贰听544 | Design Of Electronic Packaging and Interconnects | 3 |
| 贰颁贰听546 | VLSI Systems Design | 3 |
| 贰颁贰听547 | Cloud Computing Technology | 3 |
| 贰颁贰听549 | RF Design for Wireless | 3 |
| 贰颁贰听550 | Power System Operation and Control | 3 |
| 贰颁贰听551 | Smart Electric Power Distribution Systems | 3 |
| 贰颁贰听553 | Semiconductor Power Devices | 3 |
| 贰颁贰听554 | Electric Motor Drives | 3 |
| 贰颁贰听555 | Autonomous Robot Systems | 3 |
| 贰颁贰听557 | Principles Of MOS Transistors | 3 |
| 贰颁贰听558 | Digital Imaging Systems | 3 |
| 贰颁贰听570 | Computer Networks | 3 |
| 贰颁贰听573 | Internet Protocols | 3 |
| 贰颁贰听574 | Computer and Network Security | 3 |
| 贰颁贰听575 | Introduction to Wireless Networking | 3 |
| 贰颁贰听576 | Networking Services: QoS, Signaling, Processes | 3 |
| 贰颁贰听577 | Switched Network Management | 3 |
| 贰颁贰听578 | LTE and 5G Communications | 3 |
| 贰颁贰听579 | Introduction to Computer Performance Modeling | 3 |
| 贰颁贰听581 | Electric Power System Protection | 3 |
| 贰颁贰听582 | 3 | |
| 贰颁贰听583 | Electric Power Engineering Practicum I | 3 |
| 贰颁贰听584 | Electric Power Engineering Practicum II | 3 |
| 贰颁贰听585 | The Business of the Electric Utility Industry | 3 |
| 贰颁贰听586 | Communication and SCADA Systems for Smart Grid | 3 |
| 贰颁贰听587 | Power System Transients Analysis | 3 |
| 贰颁贰听591 | Special Topics In Electrical Engineering | 1-6 |
| 贰颁贰听592 | Special Topics In Electrical Engineering | 1-6 |
| Code | Title | Hours |
|---|---|---|
| 贰颁贰听303 | Electromagnetic Fields | 3 |
| 贰听304 | Introduction to Nano Science and Technology | 3 |
| 贰颁贰听305 | Principles of Electromechanical Energy Conversion | 3 |
| 贰颁贰听306 | Introduction to Embedded Systems | 3 |
| 贰颁贰听308 | Elements of Control Systems | 3 |
| 贰颁贰听309 | Data Structures and Object-Oriented Programming for Electrical and Computer Engineers | 3 |
| 贰颁贰听310 | Design of Complex Digital Systems | 3 |
| 贰颁贰听384 | Practical Engineering Prototyping | 3 |
| 颁贰听214 | Engineering Mechanics-Statics | 3 |
| 辞谤听惭础贰听206 | Engineering Statics | |
| 惭厂贰听200 | Mechanical Properties of Structural Materials | 3 |
| 辞谤听惭厂贰听201 | Structure and Properties of Engineering Materials | |
| 滨厂贰听311 | Engineering Economic Analysis | 3 |
| 惭础贰听208 | Engineering Dynamics | 3 |
| 惭础贰听201 | Thermal-Fluid Sciences | 3 |
| MAE 302/BME听525 | Engineering Thermodynamics II | 3 |
- 1
Course required for Change of Degree Audit (CODA).
- 2
A grade of C or higher is required.
- 3
A grade of C- or higher is required.
- 4
A minimum GPA of 3.5 is required to enroll in graduate-level courses.
- 5
Suggested open electives, depending on interests of the student, include power systems (ECE 305, ECE 434, ECE 452, ECE 453), communications and signal processing (ECE 402, 407, 410/510, 411, 420, 425, 512), bio and medical systems and control (ECE 418, 488, 505), and embedded systems (ECE 306, ECE 460/560, ECE 461/561).
- 6
MA 405 is recommended for students pursuing graduate studies.
- 7
A maximum of 3 credit hours of DSA courses can count toward the AI/ML Electives requirement.听
| First Year | ||
|---|---|---|
| Fall Semester | Hours | |
| 颁贬听101 | Chemistry - A Molecular Science 1,2 | 3 |
| 颁贬听102 | General Chemistry Laboratory 1,2 | 1 |
| 贰听101 | Introduction to Engineering & Problem Solving 3 | 1 |
| 贰听115 | Introduction to Computing Environments 3 | 1 |
| 贰狈骋听101 | Academic Writing and Research 3 | 4 |
| 惭础听141 | Calculus I 1,2 | 4 |
| GEP Health and Exercise Studies | 1 | |
| 听 | Hours | 15 |
| Spring Semester | ||
| 贰颁贰听109 | Introduction to Computer Systems 3 | 3 |
| 惭础听241 | Calculus II 1,2 | 4 |
| 笔驰听205 | Physics for Engineers and Scientists I 1,2 | 3 |
| 笔驰听206 | Physics for Engineers and Scientists I Laboratory 1,2 | 1 |
| 贰听102 | Engineering in the 21st Century 3 | 2 |
| 贰颁听205 | Fundamentals of Economics or Principles of Microeconomics or Introduction to Agricultural & Resource Economics or Introduction to Agricultural & Resource Economics | 3 |
| 听 | Hours | 16 |
| Second Year | ||
| Fall Semester | ||
| 贰颁贰听200 | Introduction to Signals, Circuits and Systems 3 | 4 |
| 贰颁贰听209 | Computer Systems Programming 3 | 3 |
| 惭础听242 | Calculus III | 4 |
| 笔驰听208 | Physics for Engineers and Scientists II | 3 |
| 笔驰听209 | Physics for Engineers and Scientists II Laboratory | 1 |
| 听 | Hours | 15 |
| Spring Semester | ||
| 颁翱惭听110 | Public Speaking | 3 |
| 贰颁贰听211 | Electric Circuits 3 | 4 |
| 贰颁贰听212 | Fundamentals of Logic Design 3 | 3 |
| 贰颁贰听220 | Analytical Foundations of Electrical and Computer Engineering 3 | 3 |
| GEP Requirement | 3 | |
| 听 | Hours | 16 |
| Third Year | ||
| Fall Semester | ||
| 贰颁贰听301 | Linear Systems | 3 |
| 贰颁贰听302 | Microelectronics | 4 |
| 惭础听305 or 惭础听405 | Introductory Linear Algebra and Matrices 6 or Introduction to Linear Algebra | 3 |
| 厂罢听371 | Introduction to Probability and Distribution Theory | 3 |
| GEP Health and Exercise Studies | 1 | |
| 听 | Hours | 14 |
| Spring Semester | ||
| 贰颁贰听303 | Electromagnetic Fields | 3 |
| Select one of the following: | 1 | |
| Engineering Profession for Electrical Engineers | ||
| Engineering Profession for Computer Engineers | ||
| Introduction to Entrepreneurship and New Product Development | ||
| AI/ML Required Elective | 3 | |
| Open Electives 5 | 3 | |
| 贰狈骋听331 | Communication for Engineering and Technology | 3 |
| GEP Requirement | 3 | |
| 听 | Hours | 16 |
| Fourth Year | ||
| Fall Semester | ||
| 贰颁贰听484 | Electrical and Computer Engineering Senior Design I | 3 |
| 贰颁贰听411 | Introduction to Machine Learning | 3 |
| AI/ML Required Elective | 3 | |
| Open Electives 5 | 3 | |
| GEP Requirement | 3 | |
| 听 | Hours | 15 |
| Spring Semester | ||
| 贰颁贰听485 | Electrical and Computer Engineering Senior Design II | 3 |
| Open Electives 5 | 6 | |
| GEP Requirement | 3 | |
| GEP Requirement | 3 | |
| 听 | Hours | 15 |
| 听 | Total Hours | 122 |
- 1
Courses required for Change of Degree Audit (CODA).听
- 2
A grade of C or higher is required.
- 3
A grade of C- or higher is required.听E 115 requires satisfactory completion (S).
- 4
A minimum GPA of 3.5 is required to enroll in graduate-level courses.
- 5
Suggested open electives, depending on interests of the student, include power systems (ECE 305, ECE 434, ECE 452, ECE 453), communications and signal processing (ECE 402, 407, 410/510, 411, 420, 425, 512), bio and medical systems and control (ECE 418, 488, 505), and embedded systems (ECE 306, ECE 460/560, ECE 461/561).
- 6
MA 405 is recommended for students persuing graduate studies.
- 7
A maximum of 3 credit hours of DSA courses can count toward the AI/ML Electives requirement.听
Career Opportunities
Career Titles
- Computer Network Architects
- Control and Valve Installers and Repairers, Except Mechanical Door
- Electrical Drafter
- Electrical Engineer
- Electrical EngineeringTechnician
- Electro-Mechanical Technicians
- Electronic Drafter
- Electronics Engineer
- Electronics Technician
- Engineering Professor
- Instrument Technician
- Mechanical Drafter
- Mechatronics Engineers
- Photonics Engineers
- Radio Frequency Identification Device Specialists
- Sales Engineers
- Solar Energy Systems Engineers
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