ESP Biography



JOHN HARDIN, 2nd Year MIT Graduate Student - Hadronic Physics




Major: Physics

College/Employer: MIT

Year of Graduation: G

Picture of John Hardin

Brief Biographical Sketch:

Not Available.



Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

S8482: All the Physics you can do before Calculus 2 in HSSP Summer 2014 (Jul. 06, 2014)
Some parts of Physics require high level math. Some don’t. We’ll be focusing on the latter. Come learn about quantum uncertainty and the nature of wave-particle duality to start, and then we’ll get into the statistical nature of gasses. We’ll finish (depending on time) with relativity and other cool things (optics, cosmology, etc.). Moreover, we’ll do all of this with minimal math. We should never go beyond calculus 1, and most things will be understandable with algebra 2. If logistics and time permit, we’ll also try to give some lab tours of Physics labs at MIT (eg. Gravitational Wave detector LIGO, Nuclear and Particle Physics labs and Atomic labs.)


S8281: The Particle Zoo in Spark 2014 (Mar. 15 - 16, 2014)
Stuff is made of atoms, but atoms are made of smaller things still. We call these things Quarks and leptons. This course will give a brief summary of how we think about the interactions of these particles, and how we use this thinking to understand things like nuclear power. This course will not require much, if any, math, as we will generally be discussing qualitatively.


S7606: The Particle Zoo and Standard Model in Splash! 2013 (Nov. 23 - 24, 2013)
Quarks, leptons, and gauge bosons are the particles the make up all known matter and 3 of the 4 known forces. This class will discuss the particles of the standard model, how they interact with each other, and how they make up other particles. We'll talk about how the forces differ from each other and why it's so hard to find and measure some particles (like the Higgs Boson and neutrinos). If there's time, we'll talk about searches for dark matter and how that relates to things we already know. This course will not require much, if any, math, as we will generally be discussing qualitatively.