To our affiliates: CSE, Eastman, Kopin, Loughborough Sports Tech Institute, Nike, Patagonia, PGA, Sheico, and the Turtle Ridge Foundation
To our MIT start-ups: GRIT, Jolt, Ministry of Supply, No Bull, and Strive
And to all of our student liaisons and student presenters
for making the second annual STE@M Engineering Petting Zoo a tremendous success!]]>
I’ve always been fascinated with the game of baseball as a player, fan, and scientist. Last semester, I received the opportunity to study the game I love through the 2.086 Challenge Project. Using Monte Carlo simulation, I constructed a baseball game simulator in MATLAB. After verifying its accuracy to real-life MLB statistics, I simulated millions of baseball games to test the effects of different stolen base strategy to answer the question “When is stealing second base a beneficial move for the offense?” This semester, my advisor Will Cousins and I have taken up a new project. In collaboration with the Houston Astros, I am analyzing the problem of pitch classification: Given nothing but velocities and movements, can I categorize each pitch a pitcher throws accurately to return correct average velocities and movements for each pitch type? While this data can be manually inputted by a spectator watching the game, an algorithm will provide a more efficient and economical way to classify pitch data.
(Image from the MIT Institute Archives & Special Collections)]]>
In the graduate-level course 2.76 Global Engineering, the Okuma team was approached with the problem that baitcasting fishing reels are a challenging product to sell to new users in emerging markets. Their complex and less-than-intuitive design make them poor candidates for a novice fisherman selecting his or her first fishing reel. The team was given the Okuma Cerros reel to work on, with the goal of lowering the price point and making the user interface more intuitive such that the average fisherman in an emerging market would choose to buy both a baitcasting reel and a spinning reel. We approached the redesign in three phases: reducing cost via alternative materials and replacing certain bearings with bushings; prototyping a simplified cast control system; and proposing an improved user interface for the thumb bar and handle. The final product, improved user intuitiveness in the cast control and retrieve systems, and reduced cost both in bearings and in cast control parts.]]>