Approaching innovation from a holistic perspective is key to advancing our hyper-connected world. The interdisciplinary embedded and IoT computing concentration takes a bird’s eye view of computer engineering to help students understand how electronic devices, software, and networks function together to enable end-to-end solutions. Take a smart home, for example. Rather than designing one aspect of the solution, such as the temperature sensors on a thermostat, this concentration will help students design and optimize software and hardware technologies across the entire spectrum to enable an integrated, smart system. Centering on the science and design of both hardware and software for computing systems across applications ranging from medical imaging tools to wearable electronic devices, students will work on complex engineering problems such as improving energy-efficiency in mobile devices, integrating artificial intelligence into computing platforms, and developing solutions for reliability and security in safety critical applications. Coursework focuses on applications of key computer engineering principles in the areas of computer architecture, embedded systems, internet-of-things (IoT), machine learning, computer security, software algorithms, and more.

Effective Fall 2022

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
CO 150College Composition (GT-CO2)1A3
CS 163 or 164CS1---No Prior Programming Experience
CS1--Computational Thinking with Java
 4
CS 165CS2--Data Structures 4
ECE 102Digital Circuit Logic 4
ECE 251Introduction to Microcontrollers and IoT 4
MATH 160Calculus for Physical Scientists I (GT-MA1)1B4
MATH 161Calculus for Physical Scientists II (GT-MA1)1B4
Diversity, Equity, and Inclusion1C3
Career Development Seminar1  
 Total Credits 30
Sophomore
 
CS 220Discrete Structures and their Applications 4
ECE 103DC Circuit Analysis 3
ECE 202Circuit Theory Applications 4
ECE 232Introduction to Project Practices 1
ECE 303/STAT 303Introduction to Communications Principles 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
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 Engineers3A 
Honors Seminar: Knowing in the Sciences3A 
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 
Career Development Seminar1  
 Total Credits 31
Junior
 
CS 253Software Development with C++ 4
CS 356Systems Security 3
ECE 311Linear System Analysis I 3
ECE 450Digital System Design Laboratory 1
ECE 451Digital System Design 3
ECE 452Computer Organization and Architecture 3
ECON 202Principles of Microeconomics (GT-SS1)3C3
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 
Historical Perspectives3D3
Computer Engineering Electives (see list below) and Technical Electives (see list below) 3
Career Development Seminar1  
 Total Credits 32
Senior
 
CS 320Algorithms--Theory and Practice 3
ECE 401Senior Design Project I4A,4B3
ECE 402Senior Design Project II4C3
Select one course from the following: 4
Computer Networks  
Embedded Systems and Machine Learning  
Computer Engineering Electives and Technical Electives (see list below) 14
Arts and Humanities3B6
Career Development Seminar1  
 Total Credits 33
 Program Total Credits: 126

Computer Engineering Electives 0-3 credits

Foundations in ECE
Independent Study 2
Independent Study: Open Option Project 2
Independent Study : Vertically Integrated Project 2

Technical Electives 13-17 credits

CS 314Software Engineering3
CS 345Machine Learning Foundations and Practice3
CS 370Operating Systems3
CS 4XX Any CS at course at the 400-level, excluding CS457 and CS4704
CS 545Machine Learning4
CS 553Algorithmic Language Compilers4
CS 559Quantitative Security4
CS 575Parallel Processing4
ECE 340Electromagnetics for Computer Engineering3
ECE 455Introduction to Robot Programming/Simulation3
ECE 456Computer Networks 34
Select any course from the following: 21-3
Independent Study
Independent Study: Open Option Project
Independent Study: Vertically Integrated Projects
ECE 528/CS 528Embedded Systems and Machine Learning 34
ECE 544Silicon Photonics for Computing Systems3
ECE 554Computer Architecture3
ECE 558Manycore System Design Using Machine Learning3
ECE 561/CS 561Hardware/Software Design of Embedded Systems4
ECE 571VLSI System Design3
ECE 575Experiments in VLSI System Design I1
MATH 451Introduction to Numerical Analysis II3
MATH 450Introduction to Numerical Analysis I3
STAT 421Introduction to Stochastic Processes3
1

Students are required to complete three Career Development Seminars: 1) Resume Writing; 2) Behavior Based Interviewing; and 3) Using LinkedIn™. Completion of the required workshops may be spread over the student's four-year program.

2

A total 6 credits of Independent Study may apply toward total degree requirements. This includes credit awarded for ECE 395AECE 395B, ECE 395C and ECE 495A, ECE 495B, ECE 495C combined.

3

Course may count as a Technical Elective ONLY when not taken as part of the major requirements. The course cannot count as credit toward both major and technical elective requirements.

Distinctive Requirements for Degree Program:

TO PREPARE FOR FIRST SEMESTER:  The curriculum for this major assumes students enter college prepared to take calculus. 

The ECE curriculum has been modified as part of the Revolutionizing Engineering Departments initiative (RED).  Three threads run through the new curriculum: Foundations, Creativity and Professional Formation of Engineers. This new curriculum incorporates skills that engineers need beyond technical expertise, in areas like communication, ethics, social impact and interaction in large, diverse groups.  The ECE department requires that students also complete the following three Career Development Seminars: 1) Resume Writing; 2) Behavior Based Interviewing; and 3) Using LinkedIn™. 

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
CO 150College Composition (GT-CO2) X1A3
CS 163 or 164CS1---No Prior Programming Experience
CS1--Computational Thinking with Java
X  4
ECE 102Digital Circuit LogicX  4
MATH 160Calculus for Physical Scientists I (GT-MA1)X 1B4
Career Development Seminar(s) X  
 Total Credits   15
Semester 2CriticalRecommendedAUCCCredits
CS 165CS2--Data StructuresX  4
ECE 251Introduction to Microcontrollers and IoTX  4
MATH 161Calculus for Physical Scientists II (GT-MA1)X 1B4
Diversity, Equity, and InclusionX 1C3
Career Development Seminar(s) X  
 Total Credits   15
Sophomore
Semester 3CriticalRecommendedAUCCCredits
CS 220Discrete Structures and their ApplicationsX  4
ECE 103DC Circuit AnalysisX  3
MATH 261Calculus for Physical Scientists IIIX  4
PH 141Physics for Scientists and Engineers I (GT-SC1)X 3A5
Career Development Seminar(s) X  
 Total Credits   16
Semester 4CriticalRecommendedAUCCCredits
ECE 202Circuit Theory ApplicationsX  4
ECE 232Introduction to Project PracticesX  1
ECE 303/STAT 303Introduction to Communications PrinciplesX  3
MATH 340Intro to Ordinary Differential EquationsX  4
Department Approved Science (See List on Requirements Tab) X3A3
Career Development Seminar(s) X  
 Total Credits   15
Junior
Semester 5CriticalRecommendedAUCCCredits
CS 253Software Development with C++X  4
ECE 311Linear System Analysis IX  3
ECE 450Digital System Design LaboratoryX  1
ECE 451Digital System DesignX  3
Select one course from the following:   3
Writing in the Disciplines: Sciences (GT-CO3) X2 
Strategic Writing and Communication (GT-CO3) X2 
Computer Engineering Electives (see list below) and Technical Electives (see list below)X  3
Career Development Seminar(s) X  
 Total Credits   17
Semester 6CriticalRecommendedAUCCCredits
CS 356Systems SecurityX  3
ECE 452Computer Organization and ArchitectureX  3
ECON 202Principles of Microeconomics (GT-SS1) X3C3
Select a minimum of three credits from the following:   3
Linear Algebra for Data ScienceX   
Linear Algebra IX   
Historical Perspectives X3D3
Career Development Seminar(s) X  
 Total Credits   15
Senior
Semester 7CriticalRecommendedAUCCCredits
ECE 401Senior Design Project IX 4A,4B3
Choose one of the following:   4
Embedded Systems and Machine Learning    
Technical Electives (See List on Requirements Tab)
X   
Technical Electives (See List on Requirements Tab)X  6
Arts and HumanitiesX 3B3
Career Development Seminar(s) X  
 Total Credits   16
Semester 8CriticalRecommendedAUCCCredits
CS 320Algorithms--Theory and PracticeX  3
ECE 402Senior Design Project IIX 4C3
Choose one of the following:X  4
Computer Networks    
Technical Electives (See List on Requirements Tab)
    
Technical Electives (See List on Requirements Tab)X  4
Arts and HumanitiesX 3B3
The benchmark courses for the 8th semester are the remaining courses in the entire program of study.X   
 Total Credits   17
 Program Total Credits:   126