In this course, basic introduction for physical oceanography such as ocean and athmospheric characterictic, temperature, salinity, density of the oceans will be introduced. Then, the derivation of fluid and geophysical fluid dynamics that is commonly used in solving ocean waves problem is also included. This is followed by the formulation of basic mathematical models that are often used in solving physical oceanographic problems such as shallow water equations, rotating shallow water equations and wind-driven circulation. Next, this course will also critically discuss the solutions and results obtained in solving related models either analytically or numerically.

This course focuses on the knowledge needed to solve wave problems using computational wave dynamics. The development of history, philosophy and the importance of computational fluid dynamics are generaly discussed. Turbulance models, governing equations and basic principles of wave dynamics are introduced such as the equations of viscous fluid, multiphase flow equations and wave equations. Fundamentals in computational method such as discritisation of finite difference is discussed along with its boundary conditions. Several numerical techniques will be considered to be discussed in this course according to the suitability of the problems to be solved, for example fluid volume method, constrained interpolation profile method, particle method and so on.

The course describes the stochastic method for ocean wave analysis which provides a route to predicting the characteristics of random ocean waves which give vital information for the design and safe operation of ships and sea structures. Begin with a discussion on fundamental knowledge on probability theory, stochastic process and transformation, the course is then describes the essential elements of wind-generated random seas from the stochastic point of view. Next, spectral analysis technique for ocean waves is introduced, probabilistic prediction of wave amplitude and height under various condition is done. Consideration on the wave height, period and travel direction of wind-generated random wave completes the course.

This course explains whats knowing from ocean circulation exploration integrated with latest approximation about transport quantitiy and basic background for dynamical systems. Also discussed about fixed point, stability and bifurcations and numerical techniques to solve the model from dynamical systems point of view.

This course enables students obtain the knowledge in solving problems related to maritime management.

This course discusses algorithm concepts such as mapping and comparison between algorithms. It focuses on a few Quasi-Newton methods and constrained optimization. Optimization method in maritime is also covered.

This course will introduce the fuzzy set decision theory in maritime activities. Firstly, this course discussses the fundamental topics in fuzzy set decision making, namely interval value fuzzy set, some properties of fuzzy sets theory, the development of membership function and decision making with uncertainties. Finally, this course will discuss the applications of fuzzy sets decision making in maritime studies such as Fuzzy AHP, Fuzzy TOPSIS and Fuzzy DEMATEL.

This course allows student gain knowledge in decision making for solving optimization problem in maritime using quantitative methods using heuristic methods. This will improve the student’s ability to make more systematic decision.