CS7NS4 – Urban Computing
(Semester 1, 5 ECTS) This module aims to provide both a theoretical and practical understanding of urban
computing and associated cyber-physical concepts, principles, challenges and
solutions.
School of Computer Science and Statistics
(Semester 1, 5 ECTS) This module aims to provide both a theoretical and practical understanding of urban
computing and associated cyber-physical concepts, principles, challenges and
solutions.
(Semester 1, 5 ECTS) The first aim of the first part of this module is to give students a grounding in
electronics.
(Semester 1, 5 ECTS) This is a rigorous development of probability theory from an axiomatic foundation, along with some more advanced topics.
(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.