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Applied Mathematics - Peer Concentration Advisors (PCA) Program
PCAs serve as peer advisors for pre-concentrators (and current concentrators), providing a valuable perspective and helping students to discover additional resources and opportunities. If you would like to be matched to a PCA, you can do one of the following:
Startup R & D
ENG-SCI 95R
2026 Spring
Paul Bottino
Monday
3:45pm to 6:30pm
Students do field-based work in entrepreneurship to develop their existing startup and explore new ideas and opportunities for startup creation. The course is for student-founders seeking to advance their innovation experience in a supportive community of peer founders. Students may work individuall...
Startup R & D
ENG-SCI 95R
2025 Fall
Paul Bottino
Monday
3:45pm to 6:30pm
Students do field-based work in entrepreneurship to develop their existing startup and explore new ideas and opportunities for startup creation. The course is for student-founders seeking to advance their innovation experience in a supportive community of peer founders. Students may work individuall...
Computing at Scale
COMPSCI 2420
2025 Fall
H. Kung
Monday, Wednesday
3:45pm to 5:00pm
This course focuses on efficient AI computations aimed at reducing the cost of AI model training and inference. Students will learn systematic methods for implementing parallel and distributed computations for computer vision and language models such as CNNs and Transformers across multiple computin...
Computational Optimal Transport for Machine Learning
COMPSCI 2840
2025 Fall
David Alvarez Melis
Tuesday, Thursday
12:45pm to 2:00pm
Optimal Transport (OT) has quickly become an important part of the Machine Learning (ML) toolkit, where it has been used for various purposes, from learning mappings between datasets to proving convergence results for neural network training. This advanced-topics course will cover the mathematical f...