Math Foundations & Algorithmic Thinking (BUSA90561)

Graduate courseworkPoints: 12.5Not available in 2025

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Overview

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Mathematical Foundations & Algorithmic Thinking is designed to provide students with a solid understanding of the key mathematical and algorithmic concepts essential for analytical modelling of business problems. Students will be introduced to a range of foundational topics, including the concepts of rate of change and local/global extrema, properties and applications of matrices, as well as introductory examples in linear programming. The subject also considers the elementary concepts of conditionals, sequences, Booleans, and algorithmic processes in an applied setting for solving business problems under constraints. 

Intended learning outcomes

On completion of this subject, students should be able to:

  • Understand foundational mathematics and mathematical concepts (calculus, functions, limits, matrices) used in applied contexts.
  • Apply basic optimisation models (such as linear programming), and graph theory to business related contexts/applications.
  • Use fundamental programming constructs (sequence, alternation, selection), data structures (arrays, records, lists, associative arrays), abstraction constructs such as functions, and basic algorithms to solve business problems.

Generic skills

  • Analytical skills
  • Teamwork skills
  • Communication skills

Last updated: 4 March 2025