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Engineering & computer science

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Print engineering and computer science materials are primarily located in the following LC Classification ranges: Q (mathematics and science), R (medicine), and T (technology). Current materials are located on the third floor of Van Pelt-Dietrich Library Center. Older materials are located in the Library Research Annex (LIBRA). Related print subject materials are located at the Math/Physics/Astronomy, Chemistry, Biomedical, Dental, and Veterinary Libraries.

A full range of electronic resources are available through the Engineering Collection & Services site.

Services narrative (optional)

For questions about the engineering collection, purchase suggestions, or research appointments, please contact Doug McGee (dmcgee@upenn.edu) and Aman Kaur (amankaur@upenn.edu).

Introduction & general advice

Please use the Engineering Collection & Services site as a comprehensive starting point for your research.

General overview (optional)

The collections of the Penn Libraries support the research and teaching of the six departments in the School of Engineering and Applied Science (SEAS): Bioengineering, Chemical and Biomolecular Engineering, Computer and Information Science, Electrical and Systems Engineering, Materials Science and Engineering, and Mechanical Engineering and Applied Mechanics. Each department offers both undergraduate and graduate degrees. Faculty from all departments are active in multiple research centers on campus including the Center for Engineering Cells and Regeneration (CECR); Center for Human Modeling and Simulation (HMS); General Robotics, Automation, Sensing and Perception (GRASP) Lab; Institute for Medicine and Engineering (IME); Institute for Research in Cognitive Science (IRCS); Laboratory for Research on the Structure of Matter (LRSM); Center for Engineering MechanoBiology (CEMB); Penn Center for Bioinformatics (PCBi); Penn Center for Energy Innovation (Pennergy); Penn Center for Molecular Discovery (PCMD); Penn Genome Frontiers Institute (PGFI); Penn Institute for Computational Science (PICS); Penn Research in Embedded Computing and Integrated Systems Engineering (PRECISE); Penn Research in Machine Learning (PRiML); the ViDi Center; and the Warren Center for Network & Data Sciences.