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Mathematics and Statistics Collection Development Policy

The Mathematics Department offers undergraduate (BA and BSc programs Mathematics & Statistics, specifically, Applied Mathematics, Computational Mathematics, Mathematics, Mathematics for Commerce, Mathematics for Education and Statistics) and graduate programs (to the doctorate level) in both pure and applied mathematics. The MA program offers specialization in a wide variety of fields including Statistics, Probability & Stochastic Process, Actuarial Sciences, Pure Mathematics, Applied Mathematics, and Mathematics for Teachers. Graduate courses are offered in algebra, analysis, topology, differential equations, numerical methods, foundations of mathematics, probability, operation research, mathematics and applied statistics. The Master of Science in Industrial & Applied Mathematics lays emphasis on mathematical formulation of problems, problem analyses and interpretation of results. The department also offers the Graduate Diploma in Financial Engineering which provides the relevant training in financial mathematics and computer science. Students can pursue the Ph.D. program in a wide variety of areas in mathematics, statistics and related disciplines. York University Libraries support the graduate and undergraduate programs through collections, instructional services, research assistance, access to knowledge resources, supporting research dissemination and providing adaptive services.

The Mathematics and Statistics collection maintained at Steacie Science & Engineering Library aims to cover elementary subjects including the pure and applied mathematics taught in traditional undergraduate courses as well as in the advanced courses taught at the Masters and Ph.D. level. The collection at Steacie library includes the QA section of the Library of congress classification schedules and QA 75 - QA76.9 section falls under computer science. Works that focus on teaching mathematics at primary, secondary or higher level are referred to the education librarian and the education collection policy should be referred for information about teaching and study of mathematics education. Key strengths of the mathematics collection include materials in history of mathematics, combinatorial and functional analysis, algebra, analysis, complex analysis, geometry, logic, number theory, partial differential equations, applied mathematics and computation, probability & statistics, and topology. Other interdisciplinary mathematics collected in the Bronfman Business library includes operation research, business statistics, financial mathematics and econometrics. A significant portion of the materials relating to mathematics education and statistics as applied to social sciences are housed at the Scott library. Mathematics and Statistics collection includes textbooks that would be suitable for the basic level along with a wide range of monographs and monographic series and periodicals for the very advanced level students.

Due to the increasing importance of applied mathematics and statistics and its relation life sciences, special emphasis is given to collecting in these subject areas. The library has been actively collecting in actuarial sciences, mathematical modeling and its application to biology and neural networks. The library is also collecting in history of mathematics as well as integrated technical computing systems (MATLAB, Maple). There is an emphasis on standing orders for monographic series and scholarly journals in order to obtain the widest coverage possible.

Monographs (Print & Electronic): The emphasis is on graduate level monographs and monographic series in order to obtain widest coverage possible. Currently the library is receiving 44 monographic series on standing order along with online access to Springer E-Book series which includes online Lecture Notes in Mathematics. The library also subscribes to Oxford Scholarship Online which includes advanced mathematics and statistics monographs. The library also has the Landmarks of Science in Microprint card format which represents the history of science from the invention of printing until the end of the nineteenth century.

Periodicals (Print & Electronic): A quick analysis of journals through Journal Citation Reports available through ISI Web of Knowledge confirms that we have most of the top 20 journals with high impact factors in Pure and Applied Mathematics & Statistics. The demand for periodicals, particularly online journals is also fulfilled through our involvement and memberships in OCUL (Ontario Council of University Libraries) consortia. Journals are also available from publishers and scholarly societies such as American Mathematical Society, Canadian Mathematical Society, Institute of Mathematical Statistics, and American Statistical Association.

Statistical Software on Steacie Computers: Steacie Library has installed SPSS, SAS, R statistical software on Acadlab workstations. The software available from different computers at Steacie Science library is available from the following link (https://www.library.yorku.ca/web/Steacie/computers/software/).

Databases: Steacie Science and Engineering Library subscribes to important electronic resources that support research in mathematics and Statistics. MathSciNet is the online version of Mathematical Reviews and comprehensively covers the world's mathematical literature since 1940. It covers approximately 1800 current serials and journals in whole or in part and covers over 2 million items. The Current Index to Statistics is a bibliographic index to publications in statistics, probability, and related fields. The library also provides electronic access to all SIAM Journals and Project Euclid that covers theoretical and applied mathematics and statistics. Students also have access to ACM Digital Library, & Web of Science. The JSTOR electronic archive of periodicals is particularly strong in mathematics. A complete list of subscribed and free databases can be obtained from Mathematics and Statistics research guides.

Related Collections at York: A significant portion of the materials relating to mathematics education is housed at the Scott library. A significant portion of social science statistical monographs and serials are housed at Scott. Applications of mathematics to specific non-scientific subject areas are normally selected by the appropriate subject librarian and are located at the appropriate branches.

Languages: English language materials predominate in the collection. Some materials in French, German and Russian are also purchased as required. Some of the foreign language content may also be a part of E-Book packages purchased by the libraries.

Geographical Coverage: No geographical areas are excluded. The nature of the publication rather than its geographical origin determines its selection.

Chronological Coverage: There is no specific chronological limits of coverage.

Date of Publications: Majority of purchases focus on recent output; however, the historical nature of mathematics requires the purchase of retrospective materials as well. These will include monographs, monographic sets/series (including treatises or original works), and periodical backruns which are acquired electronically where possible.

Duplication: Duplicates are not purchased unless there is a perceived need for them. These are generally purchased for and housed in the Reserve collection.

Relegation and Weeding: Superseded editions and out-of-date textbooks are weeded unless they are of historical value. Relegation to the storage annex is done during periodic inventories for volumes that have not circulated within the preceding five years. Mathematics and statistics monographs are not weeded from the collection (unless available online).

Format of Materials Collected: Where possible the emphasis is on soft cover and if unavailable then hard cover is obtained. CD-ROMs accompanying books are kept at the circulation desk. Currently the library is trying to see the uptake of electronic books and to that end it has acquired books from different E-book content providers. Electronic journals are preferred by students and faculty in the department of Mathematics and Statistics. Relevant government document deposit material is automatically added, government report literature is not added unless requested.

Resources Elsewhere in the Toronto Region: Students and faculty members are informed of the Resource Sharing facilities (RACER) available at York. Students and faculty at York are made aware of direct borrowing facilities available from other universities in Canada ( https://www.library.yorku.ca/ccm/BorrowRenew/DirectBorrowing.htm)

Collection Levels in Mathematics & Statistics

QA -- Subject Present Collection Intensity Desired Collection Intensity
21-35 (History & Biography) 3b 4
101-141.8 (Elementary Mathematics) 3b 4
150-272 (Algebra) 164-167.2 (Experimental Design & Graph theory) 169 (Category Theory-homological algebra)171-172.4 (Group theory & generalizations)184-224 (Linear & multilinear algebra)241-247.5 (Number theory) 3b 4
273-274.76 (Probability theory & stochastic process) 3b 4
275 (Regression & correlation) 3b 4
276-280 (Mathematical Statistics) 276-277.3 (Parametric statistical inference) 278-278.65 (Multivariate statistical analysis)278.7-278.8 (nonparametric statistical inference)279.4-279.7 (Bayesian Statistics)280 (Time Series Analysis) 3b 4
297-299.4 (Numerical Analysis) 3b
299.6-302 (Analysis - General) 3b
303-312 (Calculus) 3b 4
313 (Ergodic theory) 315-316 3b 4
319-433 (Analysis - other) 319-329.9 (Functional analysis) 370-385 (Differential equations, ordinary & partial)387 (Lie groups)402.3 (Control theory)402.5 (Optimization)403 (harmonic analysis)403.5 (Fourier analysis)

404.7-405 (Potential theory & harmonic functions)

3b 4
440-699 (Geometry)564-581 (Algebraic geometry) 611-614.97 (Topology)615-639 (Infinitesimal geometry)640-640.7 (Convex sets, distance geometry & geometric inequalities)641-699 (Differential geometry) 3b 4
801-939 (Analytic mechanics) - See collection policy for Engineering & Physics 3a 3b