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

Biology for engineers / Arthur T. Johnson The molecules of life : physical and chemical principles / John Kuriyan, Boyana Konforti, David Wemmer Digital systems : principles and applications / Neal S. Widmer, Purdue University; Gregory L. Moss, Purdue University; Ronald J. Tocci, Monroe Community College Visual six sigma : making data analysis lean / Ian Cox, Marie A. Gaudard, Mia L. Stephens Floating offshore wind farms / Laura Castro-Santos, Vicente Diaz-Casas, editors Visual six sigma : making data analysis lean / Ian Cox [and others] Sustainable solid waste management / edited by Jonathan W.C. Wong, Rao Y. Surampalli, Tian C. Zhang, Rajeshwar D. Tyagi, Ammaiyappan Selvam ; sponsored by the Hazardous, Toxic, and Radioactive Waste Engineering Committee of the Environmental Council of the Environmental and Water Resources Institute of the American Society of Civil Engineers Munson's fluid mechanics / Philip M. Gerhart, Andrew L. Gerhart, John I. Hochstein Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan / John K. Kruschke Lifelong machine learning / Zhiyuan Chen and Bing Liu