Module code: MTH5005
Credits: 15.0
Semester: SEM2
Contact: Dr Justin Ward
Prerequisite: Before taking this module you must take MTH4000
This module is the second module covering computer programming in Python (a widely used programming language), an essential professional skill for Mathematicians and Statisticians. Students will learn to understand the logic of more advanced computer programming, read and implement code for mathematical algorithms, write programs to solve problems coming from real world situations using theoretical results from their mathematics and statistics modules, and to analyse the computational complexity of these programs. These skills are applicable to any role that requires quantitative analysis and evidence-based decision making.
Connected course(s): UDF DATA
Assessment: 50.0% Coursework, 50.0% Examination
Level: 5
