The source of your standard research paper may come with some not-so-standard challenges.
Planning your courses while doing research can feel like a juggling act—one that involves not just your academic requirements but also your research commitments and, of course, your own well-being. At a place like Princeton, where opportunities in labs and research projects abound, learning how to navigate and integrate everything into your schedule can make a huge difference.
Continue reading Balancing Research and Academics: The Art of Course Planning
The end of the semester is often accompanied by deadlines for semester-long projects and final papers (including the infamous Dean’s Date deadline, which past correspondent Ryan Champeau has amazing advice on!). For some classes, students may be asked to create an academic or research poster and present their work to their peers in a poster session. A couple of courses I have taken where I produced a final research paper were COS 484: Natural Language Processing and ASA 238: Asian-American Psyches.
In ASA 238, the department provided funding so that all students in the class could have their poster printed through Princeton Print & Mail Services. However, this option typically is not free-of-charge to students. Moreover, since this process typically takes 4-5 business days after the proof is approved to be printed, course instructors may set conservatively early deadlines so that all students’ posters may be printed on time. With more deadlines in other classes, this can create additional stress.
The great news is, this stress can be avoided with a free, straightforward alternative: utilizing the Makerspace’s Large Format Printer. The Princeton University Library (PUL) Makerspace is a creative space on the A-level of the Lewis Science Library open to current students, faculty, and staff. If you’ve never used the space before, it might be daunting, but I hope this article will clarify the process and assuage any fears you may have!
Continue reading Simplify Your Research Poster Printing: Using Princeton’s Makerspace Large Format Printer
Many academic disciplines engage with visual art, whether from the standpoint of art history, material culture, or even paleography. The Princeton Index of Medieval Art is a unique database well-suited to the needs of researchers across various fields. Whether history, comparative literature, art, or classics, the index gathers a vast amount of information on Late Antique and Medieval Artworks, neatly sorted in an accessible way.
Continue reading A Hidden Gem for Humanities Researchers: The Princeton Index of Medieval Art
Jake Snell is a DataX postdoctoral researcher in the Department of Computer Science at Princeton University, where he develops novel deep learning algorithms by drawing insights from probabilistic models. He is currently serving as a lecturer for SML 310: Research Projects in Data Science.
As I dive deeper into my computer science coursework, I’ve found myself engaging increasingly with statistics and machine learning (hereafter abbreviated as SML). Opportunities to conduct SML research are abound at Princeton: senior theses, junior independent work, research-based courses such as SML 310: Research Projects in Data Science, joining research labs, and much more. There is such a wide variety of research opportunities, and so many nuanced pathways that students can take while exploring SML research. So, for this seasonal series, I wanted to speak with professors and researchers who are more advanced in their research journeys to share their insight and advice to undergraduate students.
Continue reading Journeying through Statistics & Machine Learning Research: An Interview with Jake Snell
The structure of a “standard” Princeton course usually includes a mix of lectures, precepts, or seminars which likely have a midterm and final. While some of these courses may have “lab” components where you spend a couple hours once a week doing a hands-on assignment, there exist many courses at Princeton which are instead entirely focused on conducting hands-on, lab-based research with a small team that works closely with professors who provide mentorship as you work on an original research project. If you’ve ever wanted to take a class that is far different from anything else at Princeton by teaching you hands-on skills and giving the opportunity for a new project, these types of courses might be for you!
Some of these courses are year-long sequences like AST250 Space Physics Lab I and AST251 Space Physics Lab II, which I took during the 2022-2023 academic year. This was one of my favorite course experiences at Princeton and was certainly the most engaging. The skills we learned were invaluable, and as we worked closely with the professors and each other, our year-long project became an unforgettable experience.
Continue reading Research Courses at PrincetonWhether writing a paper or providing a presentation, you will often find yourself relying on the completed work of others to synthesize information about a subject. An essential part of using these outside sources is to give their owners rightful credit in your references! Read some tips below on making citations easier.
Last semester, I interviewed Albert Lee ‘24 to get a glimpse of what conducting qualitative research for sociology Junior Papers can look like at Princeton. (If you’re interested in reading that piece, click here!). Discussing qualitative research with Albert was exciting because his words of advice were quite applicable to the qualitative Computer Science research I was conducting in COS 436: Human-Computer Interaction (HCI).
An example user prompt and ChatGPT response.
Prior to taking COS 436, I had little idea of what qualitative research looked like in Computer Science, particularly because many of the CS courses I had taken were quantitative, involving systems, mathematical models, or theory. Taking the course opened my eyes to a whole side of research: interview-based qualitative research. For my semester-long research project, my team and I aimed to dive deeper into educators’ opinions on the use of ChatGPT in CS education.
Continue reading Tips for Recruiting Interviewees: My Qualitative Research on ChatGPT Use in CS EducationAfter attending my final class of the semester, the feeling that I was done with my BSE requirements finally settled in. From now on, as a COS BSE major, I would have much more flexibility in my class options with my prerequisites complete. Having written both My BSE Fall Semester Experience in the Engineering Sequence and My BSE Spring Semester Experience in the Engineering Sequence (which I recommend you read first before reading this), I wanted to write a final article to reflect on my experience now that I’ve officially completed the Engineering Sequence. To reiterate one last time, the Engineering Sequence is a set of five courses intended to fulfill the engineering degree requirements through an introduction to engineering fundamentals in the context of real-world applications. BSE degree requirements include four semesters of math, two semesters of physics, one semester of chemistry, and every first-year student is required to take one semester of writing seminar and fulfill various distribution requirements for general degree requirements. This semester, I took the final course in the Engineering Sequence, Multivariable Calculus, which means that along with taking chemistry, I have completed my BSE degree requirements.
Have a presentation for one of your courses and unsure where to start? Or maybe you need to present for a research symposium? During your undergraduate years, you will come across many times when you may have to give a presentation to present your research for coursework or perhaps for an individual research pursuit. Here are some tips to help you present easily and effectively!
From left to right: Three control devices (a special keyset, a standard keyboard, and a mouse). Photo credits: The Doug Engelbart Institute.
This semester, I’m taking COS 436: Human-Computer Interaction, taught by Professor Andrés Monroy-Hernández and Professor Parastoo Abtahi. The course explores foundational theories and current research in the field of Human-Computer Interaction (HCI), focusing on interactive and social computing across diverse domains like artificial intelligence, augmented and virtual reality (AR/VR), accessibility, information visualization, and human-robot interaction.
As the semester comes to a close, I reflect on how the readings shaped my understanding of HCI and technology more broadly. I found that the readings move beyond just the HCI classroom, offering profound insights on how technology shapes our lives and the importance of design considerations in emerging technologies. Given their value for even those who have no background in computer science, here are three readings I found particularly exciting.
Continue reading HCI is for Everyone: A Glimpse into Princeton’s Human-Computer Interaction Reading List
