When envisioning a machine learning course, you may conjure up thoughts of extensive coding, complex mathematics, and a lecturer monotonously speaking in a dimly lit classroom. However, for Professor Peter Chin, the reality is entirely different. The experience is intimate, interactive, and grounded in the conviction that education ought to be challenging and humane. As a pioneering faculty member of Dartmouth’s online Master of Engineering in Computer Engineering, Professor Chin is actively influencing how students acquire knowledge in machine learning from afar while concurrently helping to redefine the landscape of contemporary graduate engineering education.
Background and Motivation: From BU to Hanover—and into the Cloud
Peter Chin became part of Dartmouth three years ago following nearly ten years of instruction at Boston University. Now serving as a professor of engineering and the head of the LISP (Learning, Intelligence, and Signal Processing) research group, Chin’s research integrates concepts from game theory and graph theory.
When the engineering dean reached out to him about crafting a machine learning course for Dartmouth’s newly envisioned online MEng, Chin promptly agreed.
However, the journey involved a year-long effort to transform an in-person course into a fully online, fully asynchronous format that was deserving of the Dartmouth title. “I underestimated the extent of the workload,” he confesses. “It required a year or more to finalize the slides, recordings, and edits.” One 14-hour Saturday spent in the library’s studio exemplified the numerous intense work sessions needed to ensure the material met his elevated expectations.
The outcome? A machine learning course, which stands as one of the program’s foundational classes, in conjunction with signal processing. Professor Chin views both as gateways into the program, and he takes that initial interaction very earnestly.
Teaching Online: Rigor, Realism, and a Bit of Reinvention
Professor Chin approached the online format with enthusiasm and pragmatism. “During the COVID era, I taught via Zoom, which was synchronous. For this program, it is asynchronous. It was challenging to predict the reception of the lengthier lectures.”
With backing from Dartmouth’s Learning Design and Innovation team, he restructured his standard two-hour lectures into concise, impactful videos, aiming to keep them shorter than ten minutes. This represented a significant transition, but the Dartmouth team recognized it would be more manageable for online learners. “I had years of lecture content and had to rethink it all,” he notes. “However, once we optimized it, the result was fantastic. Our production team was incredible and made everything so engaging.”
Nevertheless, Chin aimed to preserve the vibrancy of the classroom environment. He conducts twice-weekly live sessions, a requirement for all Dartmouth online MEng courses, and broadcasts from an actual Dartmouth classroom.
“I want students to feel like they are part of the campus. I discuss current events in AI, adjust the material, and keep things as fresh as possible.”
About the Course: Practical, Challenging, and Continuously Advancing
Chin’s machine learning course is crafted to mirror the authentic demands of the technology sector. Students engage with real-world projects, adjust to emerging topics, and actively implement their learning immediately.
“My foundation is in pure mathematics, where aspects remain static. In AI, it’s the contrary. Changes occur so rapidly! There are subjects I covered two years ago that I’ve already discontinued. It’s imperative for me to keep the courses up-to-date.”
The online platform facilitates this dynamic structure. Students collaborate on team projects from the outset, paired across different time zones and skill levels. “Learning is far more enjoyable when it’s collaborative,” Chin stresses. “That teamwork element is integrated into every course within the program.”
Mid-course evaluations are taken very seriously, too. “Last year, some students indicated it was too overwhelming, so we adjusted on-the-fly. Listening to student feedback is essential.”
Industry Relevance: Engineered for Real Careers
The majority of Chin’s students are working professionals in the tech sector. Some seek promotions, while others are looking to transition into more technical positions. One student, he remembers, secured a position at Meta after completing his course.
“I wrote a recommendation for him, and months later he emailed to say, ‘Thank you so much; I got the job!’ That was truly rewarding.”
This level of connection is not uncommon. Chin makes it a priority to familiarize himself with his students and acknowledges the challenges they face by balancing work and study.
“Kudos to them,” he remarks. “Sometimes I’m astounded by how they manage it all. But we recognize that. We tailor this program for working parents and busy professionals.”
The Future of Engineering: Remain Inquisitive, Stay Resilient
When asked about the future, Chin responds without hesitation. “Curiosity is essential. You don’t need to be an AI specialist, but your success hinges on your ability to remain curious and persistent.”
He is inspired by the drive exhibited by his students, believing that the mindset instilled at Dartmouth—focused on growth, adaptability, and intellectual resilience—prepares graduates for success.
“If you can evolve alongside your company, you become invaluable. That’s what we strive to foster.”
Final Thoughts: Is This the Right Path for You?
Professor Chin is candid about the dedication necessary for Dartmouth’s online MEng. “It’s challenging. It’s demanding. But if you are seeking a superior education, one that acknowledges the realities of a busy life, this might be the ideal option for you.”
His advice? Speak with current students. Connect with faculty. Don’t assume it’s unachievable.
“We understand our students are working parents, career changers, and lifelong learners. We will do everything possible to make it achievable for you.”
And should you wish to visit? You’re invited.
“A few of our online students have come to campus. It’s remarkable. Dartmouth has a genuine sense of place, and when you’re here, you truly feel it.”
Prepared to take the next step? If you’re inquisitive, driven, and seeking an online engineering degree tailored for working professionals, Dartmouth’s online Master of Engineering in Computer Engineering may be your next move. With educators like Peter Chin paving the way, you won’t merely learn; you’ll connect, develop, and flourish—100% online, hands-on, and thoroughly engaged with the future.
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