STP80021 – Statistics and Sustainability Group Projects
(Semester 2; 5 ECTS) In this module, students combine statistics and sustainability knowledge to work on multiple group projects.
School of Computer Science and Statistics
(Semester 2; 5 ECTS) In this module, students combine statistics and sustainability knowledge to work on multiple group projects.
(Semester 2; 5 ECTS) This module introduces students to a sociotechnical systems model of sustainable organisations, contextualising the organisations role between individual decision making, the services, infrastructure and policies in the society and the physical infrastructure and technological environment.
(Semester 1; 5 ECTS) This module aims to enable students to gain an understanding of what GIS is and how it can be used to gain insights into many different environmental problems.
(Semester 1; 5 ECTS) This module will cover the theory of linear regression and linear mixed models and their estimation methods, modelling repeated measures overtime; various random effect models, including single random effects, multiple random effects, and random coefficient models; and non-parametric modelling approaches, to include splines and bootstrapping.
(Semester 2; 5 ECTS) This module will cover simple linear regression and multiple regression, with underlying theory; regression model diagnostics and how to resolve problems; Generalised Linear Models (GLMs), to include an overview of GLMs, logistic regression, Poisson regression and ordinal regression.
(Semester 1; 10 ECTS) This module will include descriptive statistics including numerical and graphical methods; Random sampling; Probability Laws including independence of events, conditional probabilities, and Bayes theorem.
(Semester 1, 5 ECTS) Locate, obtain and critique relevant knowledge and evidence to support innovation and research