Murty Sunak Quantitative and Computing Lab

Students collaborating

Mission Statement

The QCL supports the integration of computer and data science into the full range of liberal arts disciplines: the social sciences, sciences, and humanities, helping students apply quantitative reasoning skills to any discipline, from economics to government, from biology to philosophy. Our staff provides one-on-one support and tutoring so students can learn how to incorporate data into research papers or other academic projects, as often requested by professors. We also help students understand the programming language of data so it’s less intimidating and show them where to find the best sources of support information to elevate the quality and clarity of their analyses. Given modern workforce requirements—where data has infused itself in everything from political analysis and business dynamics to sports analytics—QCL aims to make data and quantitative skills accessible to students from all backgrounds, including those traditionally underrepresented in quantitative and technology fields.

Last time, I asked: “What does mathematics mean to you?”
And some people answered: “The manipulation of numbers, the manipulation of structures.”
And if I had asked what music means to you, would you have answered:
“The manipulation of notes?”

—Serge Lang

 


Peer Mentoring

Peer Mentoring

We hire talented undergraduate tutors (which we call "Mentors") to help all students with mathematics and programming topics. All CMC students and any 5C student taking a CMC quantitative course can make an appointment for a one-on-one tutoring session or drop by one of our office hours.

Training Workshops

Training Workshops

If you're interested in learning a new programming language or computational skill, we conduct regular training workshops where a qualified academic instructor steps through the basic foundations of the topic. No one gets left behind during our workshops, making sure everyone is up to speed and following along.

Quantitative Consulting

Quantitative Consulting

The QCL directors and graduate fellows are equipped to consult senior thesis projects and faculty research in a variety of quantitative, computational, and data driven disciplines. The QCL director and founder, Dr. Jeho Park (jeho.park@cmc.edu), is well-versed in data science techniques and languages, AI/machine learning applications, and is an XSEDE campus champion. The QCL assistant director, Dr. Bhaven Mistry (bhaven.mistry@cmc.edu), has research expertise in mathematical biology, computational physics, and model-based inference.

Contact

Murty Sunak Quantitative and Computing Lab

Claremont McKenna College
850 Columbia Avenue
Claremont, CA 91711

Phone: (909) 607-3666
Email:

Campus Location

Kravis Center, Lower Court 26
888 Columbia Avenue
Claremont, CA 91711