Very large-scale integration, or VLSI, is the process used to design and create computer chips that enable everything from smart watches to virtual reality applications. This concentration offers students a foundation in computer engineering with specialized training in the VLSI and microelectronics disciplines. VLSI focuses on developing advanced electronic circuits and systems to compute massive amounts of data and turn it into meaningful information. For example, when sensors on self-driving cars collect data to assess the vehicle’s surroundings, such as lane markings, pedestrians, and road signs, VLSI provides the “smarts” to turn that sensing data into actionable insights to control the car. Coursework in this concentration focuses on applications of key computer engineering principles in the areas of digital systems, computer-aided design, integrated circuits, embedded systems and microelectronics, computer networks, and more. These courses will enable and encourage students to design, analyze, optimize, and implement components, circuits, and systems that are essential in our daily lives.

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
AUCCCredits
CO 150College Composition (GT-CO2)1A3
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 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
 Total Credits 29
Sophomore
 
CS 165CS2--Data Structures 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
PH 142Physics for Scientists and Engineers II (GT-SC1)3A5
 Total Credits 33
Junior
 
CS 220Discrete Structures and their Applications 4
CS 214Software Development 3
ECE 311Linear System Analysis I 3
ECE 331Electronics Principles I 4
ECE 332Electronics Principles II 4
ECE 450Digital System Design Laboratory 1
ECE 451Digital System Design 3
ECE 452Computer Organization and Architecture 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 
Historical Perspectives 3D3
 Total Credits 34
Senior
 
ECE 340Electromagnetics for Computer Engineering 3
ECE 401Senior Design Project I4A,4B3
ECE 402Senior Design Project II4C3
ECE 456Computer Networks 4
ECON 202Principles of Microeconomics (GT-SS1)3C3
Select a minimum of three credits from the following:2 3
Systems Security  
Embedded Systems and Machine Learning  
Computer Engineering Electives (see list below) and Technical Electives (see list below) 8
Arts and Humanities3B3
 Total Credits 30
 Program Total Credits: 126

Computer Engineering Electives 0-3 credits

ECE 101Foundations in ECE1
ECE 312Linear System Analysis II3
Select any course from the following: 3Var.
Independent Study
Independent Study: Open Option Project
Independent Study : Vertically Integrated Project

Technical Electives 4-8 credits

ECE 4XX Any ECE course at the 400-level3-4
Select any course from the following: 3Var.
Independent Study
Independent Study: Open Option Project
Independent Study: Vertically Integrated Projects
ECE 520Optimization Methods--Control and Comm.3
ECE 528/CS 528Embedded Systems and Machine Learning 34
ECE 534Analog Integrated Circuit Design4
ECE 536RF Integrated Circuit Design3
ECE 538Design/Analysis of Analog Digital Interface4
ECE 541Applied Electromagnetics3
ECE 544Silicon Photonics for Computing Systems3
ECE 545FPGA Signal Processing/Software-Defined Radio3
ECE 554Computer Architecture3
ECE 558Manycore System Design Using Machine Learning3
ECE 561/CS 561Hardware/Software Design of Embedded Systems4
ECE 571VLSI System Design4
MATH 450Introduction to Numerical Analysis I3
MATH 451Introduction to Numerical Analysis II3
STAT 421Introduction to Stochastic Processes3
1

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

2

ECE 528 may count as a Technical Elective ONLY when CS 356 is also taken. CS 356 will be applied to toward the senior year requirement. The course cannot count as credit toward both major and technical elective requirements.

3

A total 3 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.

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. In addition, 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
First course from Group A, B, or C (See options in Program Requirements Tab)X 3B3
ECE 102Digital Circuit LogicX  4
MATH 160Calculus for Physical Scientists I (GT-MA1)X 1B4
 Total Credits   14
Semester 2CriticalRecommendedAUCCCredits
Remaining course(s) from Group A, B, or C (See options in Program Requirements Tab)X  4
ECE 251Introduction to Microcontrollers and IoTX  4
MATH 161Calculus for Physical Scientists II (GT-MA1)X 1B4
Diversity, Equity, and Inclusion X1C3
 Total Credits   15
Sophomore
Semester 3CriticalRecommendedAUCCCredits
CS 165CS2--Data StructuresX  4
ECE 103DC Circuit AnalysisX  3
MATH 261Calculus for Physical Scientists IIIX  4
PH 141Physics for Scientists and Engineers I (GT-SC1)X 3A5
 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
PH 142Physics for Scientists and Engineers II (GT-SC1)X 3A5
 Total Credits   17
Junior
Semester 5CriticalRecommendedAUCCCredits
CS 220Discrete Structures and their ApplicationsX  4
ECE 311Linear System Analysis IX  3
ECE 331Electronics Principles IX  4
ECE 450Digital System Design LaboratoryX  1
ECE 451Digital System DesignX  3
Select one course from the following:   3
Strategic Writing and Communication (GT-CO3) X2 
Writing in the Disciplines: Sciences (GT-CO3) X2 
 Total Credits   18
Semester 6CriticalRecommendedAUCCCredits
CS 214Software DevelopmentX  3
ECE 332Electronics Principles IIX  4
ECE 452Computer Organization and ArchitectureX  3
Select a minimum of three credits from the following:X  3
Linear Algebra for Data Science    
Linear Algebra I    
Historical Perspectives X3D3
 Total Credits   16
Senior
Semester 7CriticalRecommendedAUCCCredits
ECE 340Electromagnetics for Computer EngineeringX  3
ECE 401Senior Design Project IX 4A,4B3
ECON 202Principles of Microeconomics (GT-SS1)X 3C3
Select at least three credits from the following:X  3
Systems Security    
Embedded Systems and Machine Learning    
Arts and Humanities X3B3
 Total Credits   15
Semester 8CriticalRecommendedAUCCCredits
ECE 402Senior Design Project IIX 4C3
ECE 456Computer NetworksX  4
Computer Engineering Electives and Technical Electives (See Lists on Program Requirements Tab)X  8
The benchmark courses for the 8th semester are the remaining courses in the entire program of study.X   
 Total Credits   15
 Program Total Credits:   126