Networking is a rapidly evolving field that focuses on the ubiquitous connectivity of people, machines, and things. Whether shopping online, using GPS navigation, or connecting with friends on social media, our online activities are on the rise – and we are straining our technology infrastructure with the mind-boggling amounts of data we generate every day. Combining topics from electrical engineering, computer science, and mathematics, this concentration will teach students how to optimize and bolster network systems that process the ever-growing volume of data we produce through our high-tech gadgets and applications. Experiencing first-hand the innovative technologies that fuel the digital information revolution, students will work on complex engineering problems, such as emerging 5G/6G networks, deep-space communication, Internet of Things, and social networks. The concentration offers an electrical and computer engineering foundation with specialized training in the networks field. Coursework focuses on applications of key engineering principles in the areas of digital systems, communication systems, robotics, embedded systems, cybersecurity and more.
Learning Objectives
Upon successful completion of this program, students will be able to:
- Identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- 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.
- Communicate effectively with a range of audiences.
- 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.
- Function effectively on a team whose members together provide leadership, create a collaborative environment, establish goals, plan tasks, and meet objectives.
- Develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
- Acquire and apply new knowledge as needed, using appropriate learning strategies.
Effective Fall 2026
In order to maintain professional standards required of practicing engineers, the Department of Electrical and Computer Engineering requires a cumulative grade point average of at least 2.000 in Electrical Engineering courses as a graduation requirement. It is the responsibility of any student who fails to maintain a 2.000 average to work with their advisor to correct grade point deficiencies. ECE courses required for the major at the 100, 200, and 300 level must be passed with a minimum grade of C (2.000); grades below a C will require the student to retake the course. ECE courses designated as an elective are exempt from the C or higher minimum grade requirement.
| Freshman | |||
|---|---|---|---|
| AUCC | Credits | ||
| CHEM 111 | General Chemistry I (GT-SC2) | 3A | 4 |
| CHEM 112 | General Chemistry Lab I (GT-SC1) | 3A | 1 |
| CO 150 | College Composition (GT-CO2) | 1A | 3 |
| ENGR 111 | Fundamentals of Engineering | 3 | |
| ENGR 114 | Engineering for Grand Challenges | 3 | |
| MATH 160 | Calculus for Physical Scientists I (GT-MA1) | 1B | 4 |
| MATH 161 | Calculus for Physical Scientists II (GT-MA1) | 1B | 4 |
| Select one group from the following: 1 | 7 | ||
Group A | |||
| Culture and Coding: Python | 3B | ||
| CS1--Computational Thinking with Java | |||
Group B | |||
| CS1--Computational Thinking with Java CS1---No Prior Programming Experience | |||
| 3B | |||
Group C | |||
| Python for STEM | |||
| CS1--Introduction to Java Programming | |||
| 3B | |||
| Total Credits | 29 | ||
| Sophomore | |||
| CS 165 | CS2--Data Structures | 4 | |
| ECE 205 | Analog Circuits I | 3 | |
| ECE 206 | Analog Circuits II | 3 | |
| ECE 232 | Introduction to Project Practices | 1 | |
| ECE 252 | Introduction to Digital Circuits | 3 | |
| ECE 253 | Microcontrollers and C for Internet-of-Things | 3 | |
| MATH 261 | Calculus for Physical Scientists III | 4 | |
| MATH 340 | Intro to Ordinary Differential Equations | 4 | |
| PH 141 | Physics for Scientists and Engineers I (GT-SC1) | 3A | 5 |
| 1C | 1C | 3 | |
| Total Credits | 33 | ||
| Junior | |||
| CS 214 | Software Development | 3 | |
| CS 220 | Discrete Structures | 4 | |
| CT 301 | C++ Fundamentals | 2 | |
| ECE 303/STAT 303 | Introduction to Communications Principles | 3 | |
| ECE 311 | Linear System Analysis I | 3 | |
| ECE 421 | Telecommunication | 3 | |
| ECE 450 | Digital System Design Laboratory | 1 | |
| ECE 451 | Digital System Design | 3 | |
| ECE 452 | Computer Organization and Architecture | 3 | |
| ECE 456 | Computer Networks | 4 | |
| Select a minimum of three credits from the following: | 3 | ||
| Linear Algebra for Data Science | |||
| Linear Algebra I | |||
| Total Credits | 32 | ||
| Senior | |||
| CS 320 | Algorithms--Theory and Practice | 3 | |
| ECE 401 | Senior Design Project I | 4A,4B | 3 |
| ECE 402 | Senior Design Project II | 4C | 3 |
| JTC 300 or CO 301B | Strategic Writing and Communication (GT-CO3) Writing in the Disciplines: Sciences (GT-CO3) | 2 | 3 |
| Technical Electives (see list below) | 8 | ||
| Arts and Humanities | 3B | 3 | |
| Historical Perspectives | 3D | 3 | |
| Social and Behavioral Sciences | 3C | 3 | |
| Electives2 | 3 | ||
| Total Credits | 32 | ||
| Program Total Credits: | 126 | ||
Technical Electives
| Code | Title | Credits |
|---|---|---|
| CS 314 | Software Engineering | 3 |
| CS 345 | Machine Learning Foundations and Practice | 3 |
| CS 356 | Systems Security | 3 |
| CS 370 | Operating Systems | 3 |
| CS 420 | Introduction to Analysis of Algorithms | 4 |
| CS 425 | Introduction to Bioinformatics Algorithms | 4 |
| CS 435 | Introduction to Big Data | 4 |
| CS 440 | Introduction to Artificial Intelligence | 4 |
| CS 445 | Introduction to Machine Learning | 4 |
| CS 455 | Introduction to Distributed Systems | 4 |
| CS 456 | Modern CyberSecurity | 4 |
| CS 458 | Blockchain Principles and Applications | 4 |
| CS 462 | Engaging in Virtual Worlds | 4 |
| CS 464 | Principles of Human-Computer Interaction | 4 |
| CS 545 | Machine Learning | 4 |
| CS 559 | Quantitative Security | 4 |
| ECE 312 | Linear System Analysis II | 3 |
| ECE 340 | Electromagnetics for Computer Engineering | 3 |
| ECE 445 | Digital Logic Synthesis | 3 |
| Select up to 3 credits from the following: | ||
| Independent Study | ||
| Independent Study: Open Option Project | ||
| Independent Study: Vertically Integrated Projects | ||
| ECE 514 | Applications of Random Processes | 3 |
| ECE 519 | Network Centric Systems | 3 |
| ECE 520 | Optimization Methods--Control and Comm. | 3 |
| ECE 528/CS 528 | Embedded Systems and Machine Learning | 4 |
| ECE 529 | Signal Processing & Artificial Intelligence | 3 |
| ECE 544 | Silicon Photonics for Computing Systems | 3 |
| ECE 553 | Adaptive Systems and Machine Learning | 3 |
| ECE 554 | Computer Architecture | 3 |
| ECE 561/CS 561 | Hardware/Software Design of Embedded Systems | 4 |
| ECE 564 | Semiconductor Memory | 3 |
| MATH 360 | Mathematics of Information Security | 3 |
| MATH 460 | Information and Coding Theory | 3 |
| MATH 463 | Post-Quantum Cryptography | 3 |
| STAT 421 | Introduction to Stochastic Processes | 3 |
Distinctive Requirements for Degree Program:
TO PREPARE FOR FIRST SEMESTER: The curriculum for this major assumes students enter college prepared to take calculus.
In order to maintain professional standards required of practicing engineers, the Department of Electrical and Computer Engineering requires a cumulative grade point average of at least 2.000 in Electrical Engineering courses as a graduation requirement. It is the responsibility of any student who fails to maintain a 2.000 average to work with their advisor to correct grade point deficiencies. ECE courses required for the major at the 100, 200, and 300 level must be passed with a minimum grade of C (2.000); grades below a C will require the student to retake the course. ECE courses designated as an elective are exempt from the C or higher minimum grade requirement.
| Freshman | |||||
|---|---|---|---|---|---|
| Semester 1 | Critical | Recommended | AUCC | Credits | |
| CHEM 111 | General Chemistry I (GT-SC2) | X | 3A | 4 | |
| CHEM 112 | General Chemistry Lab I (GT-SC1) | X | 3A | 1 | |
| ENGR 111 | Fundamentals of Engineering | X | 3 | ||
| MATH 160 | Calculus for Physical Scientists I (GT-MA1) | X | 1B | 4 | |
| First course from Group A, B, or C (See options in Program Requirements Tab) | X | 3B | 3 | ||
| Total Credits | 15 | ||||
| Semester 2 | Critical | Recommended | AUCC | Credits | |
| CO 150 | College Composition (GT-CO2) | X | 1A | 3 | |
| ENGR 114 | Engineering for Grand Challenges | X | 3 | ||
| MATH 161 | Calculus for Physical Scientists II (GT-MA1) | X | 1B | 4 | |
| Remaining course(s) from Group A, B, or C (See options in Program Requirements Tab) | X | 4 | |||
| Total Credits | 14 | ||||
| Sophomore | |||||
| Semester 3 | Critical | Recommended | AUCC | Credits | |
| CS 165 | CS2--Data Structures | X | 4 | ||
| ECE 205 | Analog Circuits I | X | 3 | ||
| ECE 252 | Introduction to Digital Circuits | X | 3 | ||
| MATH 261 | Calculus for Physical Scientists III | X | 4 | ||
| 1C | X | 1C | 3 | ||
| Total Credits | 17 | ||||
| Semester 4 | Critical | Recommended | AUCC | Credits | |
| ECE 206 | Analog Circuits II | X | 3 | ||
| ECE 232 | Introduction to Project Practices | X | 1 | ||
| ECE 253 | Microcontrollers and C for Internet-of-Things | X | 3 | ||
| MATH 340 | Intro to Ordinary Differential Equations | X | 4 | ||
| PH 141 | Physics for Scientists and Engineers I (GT-SC1) | X | 3A | 5 | |
| Total Credits | 16 | ||||
| Junior | |||||
| Semester 5 | Critical | Recommended | AUCC | Credits | |
| CS 214 | Software Development | X | 3 | ||
| CS 220 | Discrete Structures | X | 4 | ||
| ECE 303/STAT 303 | Introduction to Communications Principles | X | 3 | ||
| ECE 311 | Linear System Analysis I | X | 3 | ||
| ECE 450 | Digital System Design Laboratory | X | 1 | ||
| ECE 451 | Digital System Design | X | 3 | ||
| Total Credits | 17 | ||||
| Semester 6 | Critical | Recommended | AUCC | Credits | |
| CT 301 | C++ Fundamentals | X | 2 | ||
| ECE 421 | Telecommunication | X | 3 | ||
| ECE 452 | Computer Organization and Architecture | X | 3 | ||
| ECE 456 | Computer Networks | X | 4 | ||
| Select a minimum of three credits from the following: | X | 3 | |||
| Linear Algebra for Data Science | |||||
| Linear Algebra I | |||||
| Total Credits | 15 | ||||
| Senior | |||||
| Semester 7 | Critical | Recommended | AUCC | Credits | |
| CS 320 | Algorithms--Theory and Practice | X | 3 | ||
| ECE 401 | Senior Design Project I | X | 4A,4B | 3 | |
| Technical Electives (See List on Program Requirements Tab) | X | 4 | |||
| Social and Behavioral Sciences | X | 3C | 3 | ||
| Electives | X | 3 | |||
| Total Credits | 16 | ||||
| Semester 8 | Critical | Recommended | AUCC | Credits | |
| ECE 402 | Senior Design Project II | X | 4C | 3 | |
| JTC 300 or CO 301B | Strategic Writing and Communication (GT-CO3) Writing in the Disciplines: Sciences (GT-CO3) | X | 2 | 3 | |
| Technical Electives (See List on Program Requirements Tab) | X | 4 | |||
| Arts and Humanities | X | 3B | 3 | ||
| Historical Perspectives | X | 3D | 3 | ||
| The benchmark courses for the 8th semester are the remaining courses in the entire program of study. | X | ||||
| Total Credits | 16 | ||||
| Program Total Credits: | 126 | ||||

