Professor Phillips Awarded Feynman Teaching Prize
03-01-21
The 2021 Richard P. Feynman Prize for Excellence in Teaching, Caltech's highest teaching prize, has been awarded to Rob Phillips, Fred and Nancy Morris Professor of Biophysics, Biology, and Physics. The Richard P. Feynman Prize for Excellence in Teaching was established in 1993 to honor annually a professor who demonstrates, in the broadest sense, unusual ability, creativity, and innovation in undergraduate and graduate classroom or laboratory teaching. "Being a professor at Caltech has been the signature privilege of my professional life," says Phillips. "Though I am deeply honored by this award, I am also totally cognizant of the generations of students that have joined me in my teaching and research adventures and without whom, none of this would have been possible. I have been surrounded by so many brilliant and dedicated young scientists that have joined me in celebrating the sense of wonder that fuels our science." [Caltech story]
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APhMS
honors
Rob Phillips
Feynman Prize for Excellence in Teaching
Adam Blank Meets Students Where They Are To Connect Across the Digital Divide
02-05-21
Long before the COVID-19 pandemic forced Caltech to shift to a model of remote learning, Adam Blank, Teaching Assistant Professor of Computing and Mathematical Sciences, focused their research on new technologies and techniques with the potential to improve student comprehension and the quality of education. Blank concentrated on making classes work remotely and helping students overcome the issues inherent in being away from campus. "The biggest thing is that I am unafraid to use a new tool, see it fail, and switch to another new tool," Blank says. "I adapted quickly—I think it's the way that I would put it—because I am used to trying new technologies all over the place and seeing what works and what doesn't." [Caltech story]
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teaching
Adam Blank
ASCIT Teaching Award
06-11-20
Michael Mello, Teaching Professor of Mechanical and Civil Engineering, has been chosen by the Associated Students of the California Institute of Technology (ASCIT) to receive a 2019-2020 ASCIT Teaching Award. These awards recognize individuals who inspire and motivate students, are approachable, and present course material effectively and efficiently.
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honors
MCE
teaching
Michael Mello
Teaching Coding in Elementary Schools
03-15-19
On Friday afternoons, Caltech computer science students visit public schools in Pasadena to help third-, fourth-, and fifth-graders learn to code. Their work is part of a recently introduced course in which Caltech undergrads study and practice strategies for teaching programming to children. “We start with basic concepts and, by the end, students have coded their own games in Scratch [a visual programming language developed for children],” says Caltech senior Anna Resnick, who helps lead the class as a teaching assistant. “A few have even told us they want to be programmers someday.” [Caltech story]
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Anna Resnick
Claire Ralph
Community College Students Thrive at Caltech
01-02-19
This summer, Maria Hernandez—a student at Santa Monica Community College—lived in Caltech student housing and spent her days in Professor Beverley McKeon's lab, building an autonomous submersible robot from scratch. This was the second summer in a row that Hernandez participated in a program through the nonprofit organization Base 11, which connects high-achieving, underrepresented students from community colleges throughout the country with top research institutions like Caltech. "This program gave me the inspiration to become an engineer," says Hernandez, now in her fourth year of college. "Throughout high school, I was always good at math, but I never really knew what engineering was. The closest thing to an engineer in the community I grew up in was a mechanic." [Caltech story] [ENGenious snap shot]
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GALCIT
Beverley McKeon
teaching
Maria Hernandez
New Major and Minor in Information and Data Sciences
09-25-18
Starting in fall 2018, EAS will offer students a new undergraduate degree option in a field that is at the forefront of computer science: information and data sciences (IDS). Mathematics will form the backbone of the new option. Students in IDS will take core courses focusing on machine learning, information theory, probability, statistics, linear algebra, and signal processing. After that, they will have the opportunity to branch out with electives that cover applications of data sciences to science and engineering. Professor Adam Wierman hopes the creation of this new option will prepare both students and Caltech for the future. "It almost doesn't matter what you're interested in. If you want to make discoveries and be on the cutting edge of your field, you're going to need the skills to analyze and manipulate large collections of information," he says. [Caltech story] [Degree option details]
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Adam Wierman
teaching