CSU34021 – Computer Architecture II
(Semester 1, 5 ECTS) Advanced topics in Computer Architecture including virtual memory, cache organisation, pipelining, multiprocessor architectures and cache coherency.
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ST8002 Implementing statistical methods in R
Module Code ST8002 Module Name Implementing statistical methods in R ECTS Weighting[1] 5 ECTS Semester taught Semester 1 Module Coordinator/s Prof. Mimi Zhang Module Learning Outcomes On successful completion … Read more
ST8001 Introduction to statistical concepts and methods
Module Code ST8001 Module Name Introduction to statistical concepts and methods ECTS Weighting[1] 10 ECTS Semester taught Semester 1 Module Coordinator Prof. Mimi Zhang Module Learning Outcomes On successful completion … Read more
STU34507 – Statistical Inference I
(Semester 1, 5 credits) This module introduces different statistical modelling used for analysing stochastic processes defined in the spatial and/or time domains. These have many applications (e.g. engineering, finance, genetics).
CE7C05 – Advanced Spatial Analysis Using GIS
This module introduces students to the framework and methods used in real life problems related to the field of spatial analysis by applying the theoretical knowledge gathered during the module to live project work
CEP55E03 – Air Pollution: Monitoring, Assessment and Control
(Semester 1; 5 ECTS) This module aims to enable students to gain an understanding of the theory and practice of Environmental Engineering in relation to air pollution.
HCI10A – Sustainable Green Organisations
(Semester 1; 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.
GG1000 – GIS: Geographic Information Systems
(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.
STP80110 – Advanced Linear Models 1
(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.
CS7IS1 – Knowledge and Data Engineering
(Semester 1, 5 ECTS) The module is designed to explore the management, delivery and inter-operability of knowledge, information and data through knowledge and data engineering.