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CS131 Mathematics for Computer Scientists II

Academic Aims

  • To provide students with sufficient mathematical knowledge to enable them to understand the foundations of their subject for both study purposes and later career development
  • To bridge the gap in style and content between A-level and university mathematics and to introduce students to the language and methods of professional mathematics.

Learning Outcomes

By the end of the module the students should be able to:

  • Carry out formal and informal mathematical proofs.
  • Use effectively techniques for the analysis and transformation of vector spaces and the solution of sets of linear equations.
  • Perform operations of the differential and integral calculus with confidence and precision
  • Understand the basics of probabilistic analysis and be able to apply the methods in practical examples.


  • Linear Algebra: Vectors, linear independence, subspaces, basis, dimension.
  • Matrix Algebra: Linear equations, inverses, linear transformations, eigenvalues/vectors.
  • Sequences and Series: Limit and convergence properties of sequences and series.
  • Calculus: Limits, continuity, differentiable functions, differentiation of inverse functions, integration, logarithms, exponentials, Taylor’s theorem.
  • Abstract Algebra: Introduction to some abstract structures such as groups, rings, fields and vector spaces.

15 CATS (7.5 ECTS)
Term 2

Dr Yulia Timofeeva


Online material