Elizabeth Swayze

Computer Science & Engineering

Elizabeth Swayze
Elizabeth took over MITP’s computer science list in 2020 with the goal of building up a core program of smart textbooks for advanced undergraduates and graduate students.  She acquires textbooks, trade science, and scholarly books in all areas of computer science with special emphasis in AI, machine learning, programming languages & compilers, super computing, theory & algorithms, information science, and robotics & autonomous systems.  In addition to these core areas, she is actively looking for new books on security, information assurance & cryptography; graphics & computer vision; explainable machine learning; and soft robotics. Elizabeth can be reached at epswayze@mit.edu and her twitter handle is @CSEditor_EPS.


Notable Recent Acquisitions:

Probabilistic Machine Learning: An Introduction and Probabilistic Machine Learning: Advanced Topics by Kevin Murphy, Essential of Compilation–Python & Rackett Versions by Jeremy Siek, Algorithms for Decision Making by Mykel Kochenderfer, Tim Wheeler, and Kyle Wray, Computer Vision: A Deep Learning Approach by Antonio Torralba, William Freeman, and Phillip Isola, The Weakest Link by Arun Vishwanath, Machines like Us by Hector Levesque & Ron Brachman

Living with Robots

What Every Anxious Human Needs to Know

Ruth Aylett, Patricia A. Vargas, Noel Sharkey


Duane C. Wilson

Introduction to Computation and Programming Using Python

With Application to Computational Modeling and Understanding Data

John V. Guttag

Machines like Us

Toward AI with Common Sense

Ronald J. Brachman, Hector J. Levesque

Introduction to Algorithms

Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein