Discrete mathematics provides students with a foundation in mathematical concepts and techniques that are essential to solve real-world problems in AI. The course focuses on discrete structures and mathematical reasoning to equip students with the knowledge and skills required for algorithm design, data analysis and problem solving. Students will gain knowledge of propositional and predicate logic, set theory, probability principles and basic linear programming, which allows for accurate reasoning, data manipulation, decision-making under uncertainty and optimisation techniques that are essential for AI systems. The course also promotes students’ capacity for critical thinking, abstraction, generalisation, strong analytical skills and the ability to apply mathematical modelling techniques to real-world problems. In turn, this ensures that students can more effectively tackle AI challenges in different domains.