COMPUTER SCIENCE, REED COLLEGE
Recent Research Highlights
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers (EMNLP 2017): Describes work done at the Allen Institute for Artificial Intelligence to build a system that can take the math portion of the Scholastic Aptitude Test (SAT). This approach provides the foundation of the Euclid system. (pdf) (bib) (demo)
CSCI 378: Deep Learning (Spring 2019, course page):This course is an introduction to deep neural architectures and their training. Beginning with the fundamentals of regression, optimization, and regularization, the course will then survey a variety of architectures and their associated applications. Students will develop projects that implement deep learning systems to perform various tasks. Prerequisites: Mathematics 201, 202, and Computer Science 221.
CSCI 121 – Computer Science Fundamentals I (Spring 2019, course page): An introduction to computer science, covering topics including elementary algorithms and data structures, functional and procedural abstraction, data abstraction, object orientation, logic, and the digital representations of numbers. Emphasis is on mathematical problems and calculations and on recursive algorithms and data structures. The course includes a significant programming laboratory component where students will solve computational problems using a high-level language. The mechanisms for processing and executing programs will be surveyed.