The collection’s primary function is to support research and teaching programs in the Computer Science Department, which is part of the School of Engineering & Applied Science.
The department’s research focus is algorithms and computational complexity, artificial intelligence, data networking, databases, graphics, machine learning, programming languages, robotics, scientific computing, security and privacy, and systems.
Departments/disciplines/programs/subject areas supported
Subject areas supported are algorithms and computational complexity, artificial intelligence, data networking, databases, graphics, machine learning, programming languages, robotics, scientific computing, security and privacy, and systems.
The Department of Computer Science offers B.A., B.S., M.S., M.Phil., Ph.D. degrees.
Because of the importance of the journal literature to research in computer science, serial subscriptions are given collection priority. Online databases and reference works are preferred over print. Monographs are purchased selectively in print or electronic format based on relevance to departmental teaching and research, reviews, user requests, and faculty authors.
Formats and materials acquired generally
Research periodicals and scholarly monographs from academic, trade, and professional society publishers are preferred. Reference works include indexing and abstracting databases, handbooks, and encyclopedias. Electronic versions are preferred when available.
Formats and materials collected selectively or by request
- Conference proceedings are purchased selectively.
- Audio-visual material and technical reports are generally purchased only on request.
- Textbooks are generally excluded unless requested by faculty.
Formats Not Collected
- The library does not purchase hardware and software manuals but does maintain subscriptions to several online resources that include this information, including Lynda.com and Safari Books Online.
- Instructor’s manuals
- Juvenile works
- Consumable workbooks
Materials collected are in English.
Chronological and geographical focus
Current materials are emphasized.
No geographic areas are excluded.
Collaborations within Yale
The department has close ties to mathematics and engineering, but has increasingly experienced collaborations with psychology, linguistics, economics, business, statistics, music, medicine, physics.
Works placed on course reserve are collected by Bass Library, along with books where high use is anticipated.