School of Computer Science and Statistics
(Semester 2, 5 ECTS) This module introduces the research process. Starting with the formulation of a
research question, it covers completing a literature review, choosing an appropriate
research design, data collection, data analysis and how to communicate research
findings.
Module Code STU33003 Module Name Software Applications III – B ECTS Weighting[1] 5 ECTS Semester taught Semester 2 Module Coordinator/s Assistant Professor Aideen Keaney Module Learning Outcomes: On successful … Read more
(Semester 2, 5 ECTS) This module introduces students to advanced topics in the areas of data communications and cryptography. A detail study is made of the TCP protocol in terms of multiplexing, flow and congestion control to understand the effects congestion in a large distributed network such as the Internet.
Not running 2022/23. Module Code STU34502 Module Name Applied Linear Statistical Methods II ECTS Weighting [1] 5 ECTS Semester taught Semester 2 Module Coordinator/s Alessio Benavoli Module Learning Outcomes On … Read more
(Semester 2, 5 credits) An introduction to basic statistical concepts. Students will learn how to explain basic statistical theory, apply the techniques to data and describe and interpret the results of their analyses in a detailed fashion. R studio will be used to analyse data.
(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 ECTS) Specific topics addressed in this module include:
examples of stochastic processes, the Markov property and discrete state space Markov chains, Chapman-Kolmogorov equation, convergence to stable distribution, Poisson processes and their properties and applications, further discrete state space Markov processes,
Brownian motion and geometric Brownian motion.
(Semester 2, 5 ECTS) The aim of the module is to introduce students to the crucial role that Information Systems play in all aspects of society and the workplace as these domains undergo trans-formative change.
(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 2, 5 ECTS) The purpose of this module is to give students experience in advanced computer applications.