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.
Effective Fall 2023
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 | ||
CO 150 | College Composition (GT-CO2) | 1A | 3 |
Select one group from the following: 1 | 7 | ||
Group A | |||
Culture and Coding: Python (GT-AH3) | 3B | ||
CS1--Computational Thinking with Java | |||
Group B | |||
3B | |||
Python for STEM | |||
CS1--Introduction to Java Programming | |||
Group C | |||
3B | |||
CS1---No Prior Programming Experience | |||
ECE 102 | Digital Circuit Logic | 4 | |
ECE 251 | Introduction to Microcontrollers and IoT | 4 | |
MATH 160 | Calculus for Physical Scientists I (GT-MA1) | 1B | 4 |
MATH 161 | Calculus for Physical Scientists II (GT-MA1) | 1B | 4 |
Diversity, Equity, and Inclusion | 1C | 3 | |
Total Credits | 29 | ||
Sophomore | |||
CS 165 | CS2--Data Structures | 4 | |
CT 301 | C++ Fundamentals | 2 | |
ECE 103 | DC Circuit Analysis | 3 | |
ECE 202 | Circuit Theory Applications | 4 | |
ECE 232 | Introduction to Project Practices | 1 | |
ECE 303/STAT 303 | Introduction to Communications Principles | 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 |
Select at least one course totaling a minimum of 3 credits from the following: | 3 | ||
Introduction to Astronomy (GT-SC2) | 3A | ||
Astronomy Laboratory (GT-SC1) | 3A | ||
Human Origins and Variation (GT-SC2) | 3A | ||
Human Origins and Variation Laboratory (GT-SC1) | 3A | ||
Principles of Animal Biology (GT-SC2) | 3A | ||
Animal Biology Laboratory (GT-SC1) | 3A | ||
Principles of Plant Biology (GT-SC1) | 3A | ||
Chemistry in Context (GT-SC2) | 3A | ||
Chemistry in Context Laboratory (GT-SC1) | 3A | ||
Fundamentals of Chemistry (GT-SC2) | 3A | ||
Fundamentals of Chemistry Laboratory (GT-SC1) | 3A | ||
General Chemistry I (GT-SC2) | 3A | ||
General Chemistry Lab I (GT-SC1) | 3A | ||
Foundations of Modern Chemistry (GT-SC2) | 3A | ||
Foundations of Modern Chemistry Laboratory (GT-SC1) | 3A | ||
Exploring Earth - Physical Geology (GT-SC2) | 3A | ||
Introductory Geology Laboratory (GT-SC1) | 3A | ||
The Blue Planet - Geology of Our Environment (GT-SC2) | 3A | ||
Geology of Natural Resources (GT-SC2) | 3A | ||
Physical Geology for Scientists and Engineers | 3A | ||
Honors Seminar: Knowing in the Sciences | 3A | ||
Attributes of Living Systems (GT-SC1) | 3A | ||
Biology of Organisms-Animals and Plants (GT-SC1) | 3A | ||
Introductory Genetics: Applied/Population/Conservation/Ecological (GT-SC2) | 3A | ||
Introductory Genetics: Molecular/Immunological/Developmental (GT-SC2) | 3A | ||
Fundamentals of Ecology (GT-SC2) | 3A | ||
Introduction to Human Disease (GT-SC2) | 3A | ||
Oceanography (GT-SC2) | 3A | ||
Physics of Everyday Phenomena (GT-SC2) | 3A | ||
Physics of Everyday Phenomena Laboratory (GT-SC1) | 3A | ||
General Physics II (GT-SC1) | 3A | ||
Physics for Scientists and Engineers II (GT-SC1) | 3A | ||
Total Credits | 33 | ||
Junior | |||
CS 214 | Software Development | 3 | |
CS 220 | Discrete Structures and their Applications | 4 | |
CS 356 | Systems Security | 3 | |
ECE 311 | Linear System Analysis I | 3 | |
ECE 312 | Linear System Analysis II | 3 | |
ECE 450 | Digital System Design Laboratory | 1 | |
ECE 451 | Digital System Design | 3 | |
ECE 452 | Computer Organization and Architecture | 3 | |
ECON 202 | Principles of Microeconomics (GT-SS1) | 3C | 3 |
Select a minimum of three credits from the following: | 3 | ||
Linear Algebra for Data Science | |||
Linear Algebra I | |||
Select one course from the following: | 3 | ||
Writing in the Disciplines: Sciences (GT-CO3) | 2 | ||
Strategic Writing and Communication (GT-CO3) | 2 | ||
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 |
ECE 421 | Telecommunications I | 3 | |
ECE 456 | Computer Networks | 4 | |
Computer Engineering Electives (see list below) and Technical Electives (see list below) | 10 | ||
Arts and Humanities | 3B | 3 | |
Historical Perspectives | 3D | 3 | |
Total Credits | 32 | ||
Program Total Credits: | 126 |
Computer Engineering Electives 0-3 credits
Code | Title | Credits |
---|---|---|
DSCI 320 | Optimization Methods in Data Science | 3 |
ECE 101 | Foundations in ECE | 1 |
Select any course from the following: 2 | Var. | |
Independent Study | ||
Independent Study: Open Option Project | ||
Independent Study : Vertically Integrated Project |
Technical Electives 7-10 credits
Code | Title | Credits |
---|---|---|
CS 314 | Software Engineering | 3 |
CS 345 | Machine Learning Foundations and Practice | 3 |
CS 370 | Operating Systems | 3 |
CS 420 | Introduction to Analysis of 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 340 | Electromagnetics for Computer Engineering | 3 |
ECE 445 | Digital Logic Synthesis | 3 |
Select any course from the following: 2 | Var. | |
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 528/CS 528 | Embedded Systems and Machine Learning | 4 |
ECE 544 | Silicon Photonics for Computing Systems | 3 |
ECE 545 | FPGA Signal Processing/Software-Defined Radio | 3 |
ECE 554 | Computer Architecture | 3 |
ECE 558 | Manycore System Design Using Machine Learning | 3 |
ECE 561/CS 561 | Hardware/Software Design of Embedded Systems | 4 |
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 | |
CO 150 | College Composition (GT-CO2) | X | 1A | 3 | |
First course from Group A, B, or C (See options in Program Requirements Tab) | X | 3B | 3 | ||
ECE 102 | Digital Circuit Logic | X | 4 | ||
MATH 160 | Calculus for Physical Scientists I (GT-MA1) | X | 1B | 4 | |
Total Credits | 14 | ||||
Semester 2 | Critical | Recommended | AUCC | Credits | |
Remaining course(s) from Group A, B, or C (See options in Program Requirements Tab) | X | 4 | |||
ECE 251 | Introduction to Microcontrollers and IoT | X | 4 | ||
MATH 161 | Calculus for Physical Scientists II (GT-MA1) | X | 1B | 4 | |
Diversity, Equity, and Inclusion | X | 1C | 3 | ||
Total Credits | 15 | ||||
Sophomore | |||||
Semester 3 | Critical | Recommended | AUCC | Credits | |
CS 165 | CS2--Data Structures | X | 4 | ||
CT 301 | C++ Fundamentals | X | 2 | ||
ECE 103 | DC Circuit Analysis | X | 3 | ||
MATH 261 | Calculus for Physical Scientists III | X | 4 | ||
PH 141 | Physics for Scientists and Engineers I (GT-SC1) | X | 3A | 5 | |
Total Credits | 18 | ||||
Semester 4 | Critical | Recommended | AUCC | Credits | |
ECE 202 | Circuit Theory Applications | X | 4 | ||
ECE 232 | Introduction to Project Practices | X | 1 | ||
ECE 303/STAT 303 | Introduction to Communications Principles | X | 3 | ||
MATH 340 | Intro to Ordinary Differential Equations | X | 4 | ||
Department Approved Science (See List on Requirements Tab) | X | 3A | 3 | ||
Total Credits | 15 | ||||
Junior | |||||
Semester 5 | Critical | Recommended | AUCC | Credits | |
CS 214 | Software Development | X | 3 | ||
CS 220 | Discrete Structures and their Applications | X | 4 | ||
ECE 311 | Linear System Analysis I | X | 3 | ||
ECE 450 | Digital System Design Laboratory | X | 1 | ||
ECE 451 | Digital System Design | X | 3 | ||
Select one course from the following: | 3 | ||||
Writing in the Disciplines: Sciences (GT-CO3) | X | 2 | |||
Strategic Writing and Communication (GT-CO3) | X | 2 | |||
Total Credits | 17 | ||||
Semester 6 | Critical | Recommended | AUCC | Credits | |
CS 356 | Systems Security | X | 3 | ||
ECE 312 | Linear System Analysis II | X | 3 | ||
ECE 452 | Computer Organization and Architecture | X | 3 | ||
ECON 202 | Principles of Microeconomics (GT-SS1) | X | 3C | 3 | |
Select a minimum of three credits from the following: | 3 | ||||
Linear Algebra for Data Science | X | ||||
Linear Algebra I | X | ||||
Total Credits | 15 | ||||
Senior | |||||
Semester 7 | Critical | Recommended | AUCC | Credits | |
CS 320 | Algorithms--Theory and Practice | X | X | 3 | |
ECE 401 | Senior Design Project I | X | 4A,4B | 3 | |
ECE 421 | Telecommunications I | X | 3 | ||
Computer Engineering Electives and Technical Electives (See Lists on Program Requirements Tab) | X | 4 | |||
Arts and Humanities | X | 3B | 3 | ||
Total Credits | 16 | ||||
Semester 8 | Critical | Recommended | AUCC | Credits | |
ECE 402 | Senior Design Project II | X | 4C | 3 | |
ECE 456 | Computer Networks | X | 4 | ||
Computer Engineering Electives and Technical Electives (See Lists on Program Requirements Tab) | X | 6 | |||
Historical Perspectives | 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 |