Illustration: Midjourney
Walk into the third floor of Biegler Hall on any given lab day and you’ll find organized chaos: 35 students hunching over oscilloscopes, wiring circuits, running sensors, and wrestling with data that refuses to cooperate. Four or five members of the instructional team are moving through the room, answering questions in real time. At any hour of the night, someone on staff is answering a post on the course discussion board. The average response time, tracked across an entire semester, is about 20 minutes.
Welcome to Mechoptronics, AME 341. If you’re studying aerospace, mechanical, or astronautical engineering at the USC Viterbi School of Engineering, you will take this class. You will probably struggle with it. And if you ask anyone who went through it — from students currently in the lab to those who took it years ago — they’ll tell you it was the most useful thing they did in college.
Learning to Measure the World
At its core, Mechoptronics is a course about measurements and the tools engineers use to make them. The class was restructured in recent years to reflect USC Aerospace and Mechanical Engineering’s (AME) department’s shift to a four-unit curriculum. In the fall, students dig into the fundamentals of test and measurement: how electronics work, how sensors detect temperature, pressure, and strain, and how to produce reliable numbers from physical phenomena. In the spring, they move into mechoptronics proper, learning automation, control systems, motor control, microcontrollers such as Arduino and industry-standard tools like LabVIEW.
“We couple fundamental electronics with basic physics to create measurements of engineering quantities that our students care about,” says Matthew Gilpin, Associate Professor of Aerospace and Mechanical Engineering Practice who has been teaching the course for 11 years and was himself a student and later a TA in the same class. “We show them from the ground up how these devices operate. If they leave USC and have to purchase something that measures temperature or strain or pressure, they have a fundamental understanding of how it works.”
Photo Credit: Magali Gruet/USC
The curriculum is deliberately built lab-first. The theory covered in lecture exists to explain what students observe in the lab, not the other way around. Experiments range from standard benchtop setups to larger hardware like a dedicated wind tunnel and a thrust measurement stand for small rocket thrusters. Students also design and run their own three-hour experiment at the end of the year, a junior project that asks them to propose, develop, and execute original work. It is a direct rehearsal for what senior capstone projects demand — except that at the junior level, the experiment lasts a few hours, not three months.
Paul Ronney, Professor of Aerospace and Mechanical Engineering and Chair of the AME Department, is direct about what the course actually teaches. “This is not a class to teach them about fluid mechanics — we have other classes for that. This is to teach them how to make good measurements,” he says. “Because no matter what you’re doing, if you don’t have your measurements right, you’re going nowhere.”
That distinction matters more now than it ever has. Ronney points to a shift in how engineers work: alongside physics-based computation, data-driven modeling — the kind that is powered by machine learning and AI — has become central to the field. And data-driven models are only as good as the data that feeds them. “I see a resurgence in the importance of experiments,” Ronney says, “because all of these machine learning models, what do they need? They need lots and lots of data.”
What No Algorithm Will Tell You
The class has been part of the AME curriculum since at least the 1980s. Gilpin has a course manual from 1979 on his shelf, and one of the experiments in it is still being run today. That continuity is not stagnation. It reflects something the faculty here say plainly: the fundamental physics don’t change.
What has changed is the world around those fundamentals. As AI tools become common in engineering workflows, Mechoptronics has held a firm position. The official policy is that AI is welcome — like a calculator, like Excel — but students still have to use it correctly.
“You’re welcome to use AI, that’s fine, but you still have to be right,” Gilpin says. “The data is what tells the story.”
This is not a trivial distinction. Mechoptronics is one of the few courses in an undergraduate curriculum where there is no single correct answer, because the answer comes from what your specific equipment recorded during your specific experiment. Two groups can run the same experiment and get different data. Both must analyze their own results and draw defensible conclusions.
“Up until your junior year, there’s a lot of things where you can insert tab A into slot B and be done,” Gilpin explains. “When we get into the laboratory, there’s ambiguity. It’s up to the students to use their unique data and make conclusions on their own.”
What students develop through that process is engineering judgment — the ability to look at a measurement and ask: does this make sense? Where did this number come from? Can I trust it? Alumni consistently report back that this critical eye is what sets them apart.
“Students frequently come back to us saying they left the class feeling more like an engineer,” Gilpin says. “Every summer I get five or six emails from students who say they hated taking this class, then realized they learned the most.”
What It Takes to Pass
The class has a reputation, and the faculty knows it. Students come in having heard it is extremely hard and time-consuming. The faculty pushes back on that reputation — the material itself, they argue, is not inherently impenetrable. What the class demands is something harder for high achievers to deliver: consistent engagement, week in, week out, for an entire year.
“This isn’t a class where you can ignore it for five weeks and then work hard before the midterm,” Gilpin says. “Students who got A’s their whole life by studying the night before are in for a shock. They actually have to internalize the material.”
To help students rise to this challenge, the infrastructure around the course is built to support them. Two professors, five TAs, a full-time lab manager, and a roster of additional graders add up to a staff of about 20 during peak semester. Office hours are packed. The discussion board runs around the clock. The students who do well are the ones who stay consistent, ask questions early, and stay curious.
Students study results during an AME 341 lab. (Photo Credit: Magali Gruet/USC)
Students study results during an AME 341 lab. (Photo Credit: Magali Gruet/USC)
Hitting the Ground Running
Beyond the lab itself, Mechoptronics teaches something that has become increasingly valuable to employers: the ability to communicate data clearly.
Yann Staelens, Professor of Aerospace and Mechanical Engineering Practice and Director of the AME Instructional Labs, has been a USC lecturer since 2008. He has watched the tech and aerospace industries evolve up close, including through years of industry consulting. His view of what companies actually want when they hire new graduates is unambiguous.
“What companies really want is for you to be able to hit the ground running,” Staelens says. “The startup world — really kick-started by SpaceX in the early 2000s — would rather have somebody with a 3.5 GPA and hands-on experience than a 4.0 student who doesn’t know what a Phillips screwdriver is.”
Components are being assembled to be used for a lab. (Photo Credit: Magali Gruet/USC)
That is not an exaggeration. Staelens points out that shop classes and hands-on instruction have largely disappeared from middle schools and high schools due to liability concerns, leaving many incoming engineering students without basic practical knowledge. AME treats the lab as the place to fill that gap.
What the lab adds beyond tools and hardware is the discipline of reporting. Engineers are not known for loving paperwork, and Staelens says the feeling is mutual. But AME insists on it anyway.
“Engineers don’t like to write reports,” Staelens says. “But we teach them how to take the data, analyze it, and communicate it — to people who may not be engineers.”
A Competitive Advantage
That skill translates directly into competitive advantage. For the past decade, USC AME senior students have consistently placed at the top of the AIAA Region VI Student Competition, which pits universities across the entire western United States and Canadian provinces against one another in technical presentations and posters. The field includes Caltech, Stanford, Berkeley, the University of Washington, and more. USC AME has finished in the top two or three nearly every year.
Ronney has asked his students directly how they manage to win so consistently against such formidable competition. The answer, he says, was simple. “They said, one word: Mechoptronics. This is where they really cut their teeth.”
Staelens agrees. “We’ve been doing well at AIAA for years, and the difference is because we teach them how to present data. In their junior year they learn how to do it. In their senior year they apply it to their own experiment, and then they take those presentations to competition.”
Their colleagues notice too. Alumni have reported back that when they arrive at a new job, they are quickly put in charge of formatting and presenting data because it’s obvious they know how to do it.
The class has been taught, expanded, and refined over decades. Its instructors have been students in it, TAs in it, and professors in it. The core has not changed, and that is the point. What Mechoptronics gives students is not a set of tools that will be obsolete in five years. It is a way of thinking about evidence, uncertainty, and judgment that engineers carry into every problem they will ever face.
In the lab itself, students learning those skills have their own stories to tell about what makes the course work — and why it’s worth the struggle.
“When they come out of here,” Ronney says, “they have a skill that’s fairly unique. Better than they will learn it at most places.”
Published on March 10th, 2026
Last updated on March 10th, 2026