Subsidiary Collection Devleopment Policy: Mathematics, Computational, & Statistical Sciences

Subject Librarian Contact Information

James Wong, Subject Librarian
Telephone: 6601-3649


Collections support the Mathematics, Computational and Statistical Major within the Division of Science.

Course offerings include traditional mathematics, with conceptual study of number theory, proof, advanced calculus, and geometry. They also include computer programming, algorithms, computer systems, theoretical computer science, operating systems, statistics and statistical inference, analysis and visualization of data, artificial intelligence, machine learning, and statistical computing.[1]

The research carried out by the Mathematics, Computational, and Statistical Sciences faculty includes mathematics, algebraic topology, analysis (differential equations and functional analysis), combinatorics, mathematical physics, computer science, computer vision, human-computer interaction, and machine learning, among other topics.


Description of Materials Collected

  • The materials collected are scholarly.
  • The materials collected are in English only.
  • There are no limitations on geographic range.
  • The periods covered are from the 21st century to support current research and teaching activities. Other periods are considered on a case-by-case basis.


The range of call numbers under consideration is:

Q 175.32.M38 Mathematical models in science.
Q 325.5 Machine learning.
QA 1-74 General. Philosophy. Mathematical logic. Education. Study and teaching. History.
QA 75-76 Computer science. Human-computer interaction. C (Computer program language). Python (Computer program language). R (Computer program language). Data structures. Algorithms. Information visualization. Big data. Data mining (computer science). Neural networks.
QA 150-272 Algebra. Combinatorics. Group theory. Linear algebra. Matrices. Approximation theory. Number theory. Algebraic fields. Set theory. Fuzzy sets. Game theory.
QA 273-431 Probabilities. Stochastic processes. Mathematical statistics. Bayesian statistics. Interpolation. Sequences. Series. Numerical analysis. Analysis. Calculus. Functional analysis. Theory of functions. Differential equations. Continuous groups. Analytical methods. Difference, functional, and integral equations.
QA 440-839 Geometry. Algebraic geometry. Topology. Differential geometry. Analytic mechanics.
QC 19.2-20.7 Mathematical physics.
TA 1634 Computer vision.



Materials are primarily electronic. Print monographs are purchased when they are: requested by faculty, there is no electronic version, or the material includes images, graphs, tables, equations, etc. that are difficult to see in the electronic format. Audio-visual (AV) formats are also purchased. Multimedia and datasets may be purchased.


Formats that are not collected:

  • Addresses, essays, and lectures
  • Ephemera
  • Microfilmed items
  • Pamphlets
  • Serials
  • Study guides
  • Textbooks
  • Theses and dissertations.

Collecting Priorities

Areas of concentration are:

  • Advanced calculus
  • Algebraic topology
  • Analysis
  • C, Python and R programming languages
  • Combinatorics
  • Computer science
  • Computer vision
  • Data algorithms and structures
  • Discrete mathematics
  • Geometry
  • Harmonic analysis
  • History of mathematics
  • Human-computer interaction
  • Interdisciplinary topics with applications of mathematics, computational functions and statistical methods in animal behaviour, biology, chemistry, ecology, economics, patterns, physics and statistics, among others
  • Machine learning
  • Number theory
  • Proof
  • Philosophy of mathematics
  • Probabilities
  • Statistical inference
  • Statistics
  • Topology


Related Local Collections

  • Collections at National University of Singapore (NUS) Libraries
  • NUS Libraries collects Mathematical, Computational and Statistical materials at undergraduate and graduate levels, and for theoretical applications. These materials are mainly in electronic format with a substantial print legacy collection in the Science Library.
  • Collections at National Library Board (NLB) Libraries and Archives
  • NLB Libraries collect Mathematical, Computational and Statistical materials for general readers.

[1]Yale-NUS College, “Mathematical, Computational & Statistical Sciences Programme Description,” accessed November 27, 2018,