School of Computer Science and Statistics
(Semester 1 & 2, 10 ECTS) This course is based on developing and solving mathematical models of real life problems. In the first semester, students receive a theoretical introduction to the fundamental elements of a mathematical model. Modelling techniques are taught to solve problems in many domains. In the second semester students are introduced to the concepts, ideas and techniques involved in simulation.
(Semester 1, 5 ECTS) The topics of this module are: the theory and practice of algorithmic design; evaluation algorithm performance; and standard algorithms and data structures.
(Semester 2, 5 ECTS) This module continues directly from Algorithms and Data Structures I and addresses topics including recursion, divide-and-conquer, graph traversal and dynamic programming.
(Semester 2, 5 credits) This module will develop several important ideas in statistical analysis making use of some of the ideas introduced in STU22004. It acts as a bridge to the sophister years by introducing the fundamental ideas that are used in the more advanced statistics modules that will take place then.
(Semester 1, 5 ECTS) This module covers a range of topics in probability theory at an introductory level, with a view towards applications. Overall the goal of the module is to let the students gain familiarity with both analytical and simulation-based methods to deal with applied problems in probability.
(Semester 2, 5 ECTS) The purpose of this module is to give students experience in advanced computer applications.