Most challenges that companies/organisations face today are too complex to rely on just intuition to resolve. The recent explosion of digital data provides...

Most challenges that companies/organisations face today are too complex to rely on just intuition to resolve. The recent explosion of digital data provides increasingly more opportunities for organisations to make data-driven decisions. Business analytics is the intersection of business, statistics, and technology, offering new opportunities for a competitive advantage. It unlocks the predictive potential of data analysis to improve operational efficiency, strategic management, and financial performance. It is vital in preparing organisations to solve 21st-century business challenges, and participants of this module will have exposure to powerful and innovative concepts, methodologies, and tools that support scientific and data-driven decision making.

Specifically, this 10-week module aims to foster analytical and statistical thinking in business and management so that students are able to make informed decisions under uncertainty in real business settings. Students are trained to understand the need for data, the importance of data production, the omnipresence of variability, and the quantification and explanation of variability.

This course is intended for students with minimal quantitative preparations. It is designed mainly to be applied and practical. Hands-on experience using Excel is emphasized throughout the module.

 

Computational Fluid Dynamics|resistance and propulsion|manoeuvring

Overview:

This advanced module in ship hydrodynamics covers the analysis methods available for estimating ship resistance, hull/propeller interaction effects,...

Overview:

This advanced module in ship hydrodynamics covers the analysis methods available for estimating ship resistance, hull/propeller interaction effects, and the design of propellers together with methods (both theoretical and empirical) for assessing the directional stability and manoeuvrability of ships.

Topics covered:

Computational Fluid Dynamics

Nature of flow modelling in the marine environment
	Potential flow methods
	Representation of bodies – the Surface Panel method
	Representation of free surface
	Navier Stokes equations and their significance
	Computer solution techniques
	CFD visualisation and validation
	Common applications
Resistance and Propulsion

Physics of flow around ship
	Ship resistance and model testing
	Resistance prediction from models
	Resistance prediction without models
	Appendage resistance and resistance in restricted waters
	Propellor geometry and theories
	Propellor characteristics and model testing
	Hull-propellor interaction
	Propellor design and powering prediction
	Cavitation
	Energy saving devices
Manoeuvring

General equations of motion
	Linearization for analytical treatment
	Using the linearized equations
	Obtaining hydrodynamic terms for equations
	Manoeuvring trials
	Numerical simulation
Learning outcomes:

The aim of the module is to give students an advanced theoretical grounding in one of the fundamental analytical discipline fields of Naval Architecture and Ocean Engineering.