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. Course work 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.
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 450 | Digital System Design Laboratory | 1 | |
| ECE 451 | Digital System Design | 3 | |
| ECE 452 | Computer Organization and Architecture | 3 | |
| JTC 300 or CO 301B | Strategic Writing and Communication (GT-CO3) Writing in the Disciplines: Sciences (GT-CO3) | 2 | 3 |
| Select a minimum of three credits from the following: | 3 | ||
| Linear Algebra for Data Science | |||
| Linear Algebra I | |||
| Social and Behavioral Sciences | 3C | 3 | |
| Total Credits | 31 | ||
| 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 |
| Select one course from the following: | 4 | ||
| Computer Networks | |||
| Embedded Systems and Machine Learning | |||
| Technical Electives (see list below) | 11 | ||
| Arts and Humanities | 3B | 3 | |
| Historical Perspectives | 3D | 3 | |
| Electives2 | 3 | ||
| Total Credits | 33 | ||
| 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 4XX Any CS course numbered 400-479, excluding CS 408, CS 457 and CS 470 | 4 | |
| CS 545 | Machine Learning | 4 |
| CS 553 | Algorithmic Language Compilers | 4 |
| CS 559 | Quantitative Security | 4 |
| CS 575 | Parallel Processing | 4 |
| CT 307 | High Performance Programming in Rust | 2 |
| ECE 340 | Electromagnetics for Computer Engineering | 3 |
| ECE 445 | Digital Logic Synthesis | 3 |
| ECE 455 | Introduction to Robot Programming/Simulation | 3 |
| ECE 456 | Computer Networks 3 | 4 |
| Select up to 3 credits from the following: | ||
| Independent Study | ||
| Independent Study: Open Option Project | ||
| Independent Study: Vertically Integrated Projects | ||
| ECE 519 | Network Centric Systems | 3 |
| ECE 520 | Optimization Methods--Control and Comm. | 3 |
| ECE 528/CS 528 | Embedded Systems and Machine Learning 3 | 4 |
| ECE 544 | Silicon Photonics for Computing Systems | 3 |
| ECE 554 | Computer Architecture | 3 |
| ECE 561/CS 561 | Hardware/Software Design of Embedded Systems | 4 |
| ECE 564 | Semiconductor Memory | 3 |
| ECE 571 | VLSI System Design | 4 |
| ENGR 430 | Engineering With Drones | 3 |
| MATH 301 | Introduction to Combinatorial Theory | 3 |
| MATH 331 | Introduction to Mathematical Modeling | 3 |
| MATH 360 | Mathematics of Information Security | 3 |
| MATH 450 | Introduction to Numerical Analysis I | 3 |
| MATH 451 | Introduction to Numerical Analysis II | 3 |
| MATH 460 | Information and Coding Theory | 3 |
| MATH 463 | Post-Quantum Cryptography | 3 |
| STAT 421 | Introduction to Stochastic Processes | 3 |
- 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).
- 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.
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 | 2 | |||
| ECE 452 | Computer Organization and Architecture | X | 3 | ||
| JTC 300 or CO 301B | Strategic Writing and Communication (GT-CO3) Writing in the Disciplines: Sciences (GT-CO3) | X | 2 | 3 | |
| Select a minimum of three credits from the following: | X | 3 | |||
| Linear Algebra for Data Science | |||||
| Linear Algebra I | |||||
| Social and Behavioral Sciences | X | 3C | 3 | ||
| Total Credits | 14 | ||||
| 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 | |
| Select one course from the following: | X | 4 | |||
| Computer Networks | |||||
| Embedded Systems and Machine Learning | |||||
| Technical Electives (See List on Program Requirements Tab) | X | 4 | |||
| Electives | X | 3 | |||
| Total Credits | 17 | ||||
| Semester 8 | Critical | Recommended | AUCC | Credits | |
| ECE 402 | Senior Design Project II | X | 4C | 3 | |
| Technical Electives (See List on Program Requirements Tab) | X | 7 | |||
| 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 | ||||

