STU44005 – Decision Analysis
(Semester 1, 5 credits) An introduction to the field of Operations Research.
Category: MSISS Year 4 Elective
STU34501 – Applied Linear Statistical Methods I
Offered in 2023/24 Module Code STU34501 Module Name Applied Linear Statistical Methods I ECTS Weighting [1] 5 ECTS Semester taught Semester 1 Module Coordinator/s Dr. Jason Wyse Module Learning Outcomes … Read more
CSU44081 – Entrepreneurship & High-Tech Venture Creation
(Semester 2, 5 ECTS) Explain how high tech venture creation operates, with an emphasis on the processes developed by the Silicon Valley venture community over the past 20 years
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).
CSU44051 – Human Factors
(Semester 1, 5 ECTS) The module provides an introduction to the field of Human-Computer Interaction, focused both on understanding human interactions with technology and on the design of useful and usable interactive systems.
STU34502 – Applied Linear Statistical Methods II
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
STU34508 – Statistical Inference II
(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.