STU12501 – Introduction to Probability
(Semester 1, 5 ECTS) Sample Space and Probability: Sets; Probabilistic Models; Conditional Probability; Total Probability.
Theorem and Bayes’ Rule; Independence; Counting.
School of Computer Science and Statistics
(Semester 1, 5 ECTS) Sample Space and Probability: Sets; Probabilistic Models; Conditional Probability; Total Probability.
Theorem and Bayes’ Rule; Independence; Counting.
(Semester 1, 5 ECTS) Wave equation and its solution; Maxwell´s equations; Fourier transform and analysis; vibration; mass-spring-damper systems; numerical methods; simulation software.
(Semester 1, 5 ECTS) The module introduces the basic concepts underlying the communication between nodes connected to the Internet.
(Semester 1, 5 ECTS) Classical multivariate techniques of principal component analysis, clustering, discriminant analysis, k-nearest neighbours, and logistic regression are investigated.
(Semester 1, 5 ECTS) This module aims to provide an opportunity for students to develop their hands on
skills in data analysis.
(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 1, 5 ECTS) The purpose of this module is to provide an introduction to the practical uses of computer applications particularly in the area of spreadsheets, web page design and development, and programming language.
(Semester 1, 5 ECTS) This module aims to provide both a theoretical and practical understanding of
modern and next generation networking and systems concepts, principles, practices
and technologies. Contemporary and emerging wired and wireless network systems
are targeted.
(Semester 1, 5 ECTS) Explain the process of content indexing in information retrieval including stop word removal, conflation (stemming, string-comparison), and the language dependency of these methods.
(Semester 1, 5 ECTS) Locate, obtain and critique relevant knowledge and evidence to support innovation and research