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.


New Books at the Engineering, Math, & CS Library

Statistical modeling and computation / Dirk P Kroese Joshua C C Chan Penalty, shrinkage and pretest strategies : variable selection and estimation / S. Ejaz Ahmed Convergence methods for double sequences and applications / M. Mursaleen, S.A. Mohiuddine Pluralism in Mathematics : a New Position in Philosophy of Mathematics / Michèle Friend Semiconductor devices and circuits / edited by Jerry C. Whitaker Digital design using VHDL : a systems approach / William J Dally Stanford University California R Curtis Harting Google Inc Tor M Aamodt the University of British Columbia Field effect transistors : a comprehensive overview : from basic concepts to novel technologies / Pouya Valizadeh Rechargeable batteries : materials technologies and new trends / Zhengcheng Zhang Sheng Shui Zhang editors Systems biology : mathematical modeling and model analysis / Andreas Kremling A new direction in mathematics for materials science / Susumu Ikeda, Motoko Kotani