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:

  1. Identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
  2. 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.
  3. Communicate effectively with a range of audiences.
  4. 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.
  5. Function effectively on a team whose members together provide leadership, create a collaborative environment, establish goals, plan tasks, and meet objectives.
  6. Develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
  7. 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
AUCCCredits
CHEM 111General Chemistry I (GT-SC2)3A4
CHEM 112General Chemistry Lab I (GT-SC1)3A1
CO 150College Composition (GT-CO2)1A3
ENGR 111Fundamentals of Engineering 3
ENGR 114Engineering for Grand Challenges 3
MATH 160Calculus for Physical Scientists I (GT-MA1)1B4
MATH 161Calculus for Physical Scientists II (GT-MA1)1B4
Select one group from the following: 1 7
Group A
  
Culture and Coding: Python3B 
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 165CS2--Data Structures 4
ECE 205Analog Circuits I 3
ECE 206Analog Circuits II 3
ECE 232Introduction to Project Practices 1
ECE 252Introduction to Digital Circuits 3
ECE 253Microcontrollers and C for Internet-of-Things 3
MATH 261Calculus for Physical Scientists III 4
MATH 340Intro to Ordinary Differential Equations 4
PH 141Physics for Scientists and Engineers I (GT-SC1)3A5
1C1C3
 Total Credits 33
Junior
 
CS 214Software Development 3
CS 220Discrete Structures 4
CT 301C++ Fundamentals 2
ECE 303/STAT 303Introduction to Communications Principles 3
ECE 311Linear System Analysis I 3
ECE 421Telecommunication 3
ECE 450Digital System Design Laboratory 1
ECE 451Digital System Design 3
ECE 452Computer Organization and Architecture 3
ECE 456Computer 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 320Algorithms--Theory and Practice 3
ECE 401Senior Design Project I4A,4B3
ECE 402Senior Design Project II4C3
JTC 300 or CO 301BStrategic Writing and Communication (GT-CO3)
Writing in the Disciplines: Sciences (GT-CO3)
23
Technical Electives (see list below) 8
Arts and Humanities3B3
Historical Perspectives3D3
Social and Behavioral Sciences3C3
Electives2 3
 Total Credits 32
 Program Total Credits: 126

Technical Electives 

CS 314Software Engineering3
CS 345Machine Learning Foundations and Practice3
CS 356Systems Security3
CS 370Operating Systems3
CS 420Introduction to Analysis of Algorithms4
CS 425Introduction to Bioinformatics Algorithms4
CS 435Introduction to Big Data4
CS 440Introduction to Artificial Intelligence4
CS 445Introduction to Machine Learning4
CS 455Introduction to Distributed Systems4
CS 456Modern CyberSecurity4
CS 458Blockchain Principles and Applications4
CS 462Engaging in Virtual Worlds4
CS 464Principles of Human-Computer Interaction4
CS 545Machine Learning4
CS 559Quantitative Security4
ECE 312Linear System Analysis II3
ECE 340Electromagnetics for Computer Engineering3
ECE 445Digital Logic Synthesis3
Select up to 3 credits from the following:
Independent Study
Independent Study: Open Option Project
Independent Study: Vertically Integrated Projects
ECE 514Applications of Random Processes3
ECE 519Network Centric Systems3
ECE 520Optimization Methods--Control and Comm.3
ECE 528/CS 528Embedded Systems and Machine Learning4
ECE 529Signal Processing & Artificial Intelligence3
ECE 544Silicon Photonics for Computing Systems3
ECE 553Adaptive Systems and Machine Learning3
ECE 554Computer Architecture3
ECE 561/CS 561Hardware/Software Design of Embedded Systems4
ECE 564Semiconductor Memory3
MATH 360Mathematics of Information Security3
MATH 460Information and Coding Theory3
MATH 463Post-Quantum Cryptography3
STAT 421Introduction to Stochastic Processes3
1

Recommended sequence for most incoming students is Group A: CS 150B to CS 164.

2

Select enough elective credits to bring the program total to a minimum of 126 credits, of which at least 42 credits must be upper-division (300-level or higher).

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 1CriticalRecommendedAUCCCredits
CHEM 111General Chemistry I (GT-SC2) X3A4
CHEM 112General Chemistry Lab I (GT-SC1) X3A1
ENGR 111Fundamentals of EngineeringX  3
MATH 160Calculus for Physical Scientists I (GT-MA1)X 1B4
First course from Group A, B, or C (See options in Program Requirements Tab)X 3B3
 Total Credits   15
Semester 2CriticalRecommendedAUCCCredits
CO 150College Composition (GT-CO2) X1A3
ENGR 114Engineering for Grand ChallengesX  3
MATH 161Calculus for Physical Scientists II (GT-MA1)X 1B4
Remaining course(s) from Group A, B, or C (See options in Program Requirements Tab)X  4
 Total Credits   14
Sophomore
Semester 3CriticalRecommendedAUCCCredits
CS 165CS2--Data StructuresX  4
ECE 205Analog Circuits IX  3
ECE 252Introduction to Digital CircuitsX  3
MATH 261Calculus for Physical Scientists IIIX  4
1C X1C3
 Total Credits   17
Semester 4CriticalRecommendedAUCCCredits
ECE 206Analog Circuits IIX  3
ECE 232Introduction to Project PracticesX  1
ECE 253Microcontrollers and C for Internet-of-ThingsX  3
MATH 340Intro to Ordinary Differential EquationsX  4
PH 141Physics for Scientists and Engineers I (GT-SC1)X 3A5
 Total Credits   16
Junior
Semester 5CriticalRecommendedAUCCCredits
CS 214Software DevelopmentX  3
CS 220Discrete StructuresX  4
ECE 303/STAT 303Introduction to Communications PrinciplesX  3
ECE 311Linear System Analysis IX  3
ECE 450Digital System Design LaboratoryX  1
ECE 451Digital System DesignX  3
 Total Credits   17
Semester 6CriticalRecommendedAUCCCredits
CT 301C++ Fundamentals X 2
ECE 421Telecommunication X 3
ECE 452Computer Organization and ArchitectureX  3
ECE 456Computer NetworksX  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 7CriticalRecommendedAUCCCredits
CS 320Algorithms--Theory and Practice X 3
ECE 401Senior Design Project IX 4A,4B3
Technical Electives (See List on Program Requirements Tab)X  4
Social and Behavioral Sciences X3C3
Electives X 3
 Total Credits   16
Semester 8CriticalRecommendedAUCCCredits
ECE 402Senior Design Project IIX 4C3
JTC 300 or CO 301BStrategic Writing and Communication (GT-CO3)
Writing in the Disciplines: Sciences (GT-CO3)
X 23
Technical Electives (See List on Program Requirements Tab)X  4
Arts and HumanitiesX 3B3
Historical PerspectivesX 3D3
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