Engineering, Math & CS Library

Location & Hours

The Engineering, Mathematics & Computer Science Library is on the second floor in the middle portion of Kingsbury Hall, with the entrance on the south side (one floor up from the Hatch mural on the first floor). It is located in Kingsbury Hall, Room S236. See today's hours.

About Us

We serve the College of Engineering and Physical Sciences, as well as others from the community with research and educational needs in the areas of computer science, mathematics and statistics, and engineering. Materials for math education are found at both this library and Dimond Library.

The on-site collection includes approximately 26,000 books, 890 current periodical subscriptions, and thousands of bound journal volumes, as well as databases. Course reserve material for many computer science, engineering, and mathematics classes is located here.

The Engineering, Mathematics & Computer Science Library holds mainly recent materials. Older materials are located in other campus libraries or in the Library Storage Facility. To locate materials, check the UNH Library online catalog.

We are open to the public as well as the UNH community.

Guides

New Books at the Engineering, Math, & CS Library

Modern observational physical oceanography : understanding the global ocean / Carl Wunsch Neural smithing : supervised learning in feedforward artificial neural networks / Russell D. Reed and Robert J. Marks II Organic electro-optics and photonics : molecules polymers and crystals / Larry R Dalton University of Washington Peter Günter ETH Rainbow Photonics AG Mojca Jazbinsek ETH Rainbow Photonics AG O-Pil Kwon Ajou University Philip A Sullivan Montana State University Simultaneous statistical inference : with applications in the life sciences / Thorsten Dickhaus Boundary layer analysis / Joseph A Schetz Rodney D W Bowersox Physical computation : a mechanistic account / Gualtiero Piccinini Bayes' rule : a tutorial introduction to Bayesian analysis / James V Stone Water engineering : hydraulics distribution and treatment / Nazih K Shammas Lawrence K Wang The nonlinear Schrodinger equation : singular solutions and optical collapse / Gadi Fibich Dense image correspondences for computer vision / Tal Hassner, Ce Liu, editors