Collection Development Statement
Last updated July 2020
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Last updated July 2020
The collection’s primary function is to support research and teaching in the Whiting School of Engineering. Programs of study offered in Applied Mathematics and Statistics are a bachelor’s, master’s, PhD, and minor. The master’s degrees are MA in Applied Math and Stats; MS in Engineering, Applied Math and Stats; MS in Engineering, Financial Math; and MSE in Data Science.
This collection supports:
This collection supports all patron groups from freshmen through research faculty.
Unlike the KSAS Department of Mathematics, there is a great deal of interdisciplinarity within AMS. In 2020, faculty research areas include facility location, inventory modeling, fixed income derivatives, quantitative portfolio strategies, computational statistics, Bayesian inference, streaming algorithms, parallel processing on GPUs, survey astronomy, shape analysis, geophysics and climate, graph theory, matrix analysis, bioinformatics, computer-assisted modeling of complex dynamical systems, data intensive computation, and statistical pattern recognition.
Because of the importance of the journal literature to research in engineering, serial subscriptions are given collection priority. Online databases and reference works are preferred over print. Monographs are purchased selectively in primarily electronic format based on relevance to departmental teaching and research, user requests, and faculty publications.
AMS researchers have a strong preference for online resources. Research periodicals and scholarly monographs from academic and professional society publishers are preferred. Reference works include literature databases, and occasionally math-related handbooks.
Preferred formats:
Material acquired by request or selectively:
Material not collected:
English
Emphasis is on current and recent scholarship, with the understanding that AMS is also supported by the more traditional mathematical areas covered in the KSAS department.
Three joint graduate programs are offered:
Sue Vazakas
svazakas@jhu.edu
410-516-4153