8th Semester NAME

Introduction. Modern Welding Methods. Physics of Electric Arc Welding. Material Transfer during Welding and Melting of Electrodes. Delivery and Heat Transfer in Welding. Residual Stresses in Welding. Deformations in Welded Structures. Mechanical Behavior of Welded Structures. Welding Quality Control. The Welding Cost. The Iron-Coal System. Metallurgical Phenomena during Welding. Welding of Common Carbon Steels. Welding of Stainless Steels. Aluminum alloy welding. Special Welding techniques (thesis, Laser, etc.).

The course provides a fundamental background for understanding the methods used to evaluate the design and operational performance of a ship. The following areas are analyzed, while knowledge from previous courses is also utilized. Introduction to the problem of systems evaluation. Areas of application in ship design and operation (indicative: energy efficiency, safety, environmental protection). Performance evaluation criteria and metrics. Development of computational procedures using indices. Fundamentals and tools of data analysis in evaluation. Data collection methods. Data quality control and pre-processing. Using theoretical and statistical models to calculate expected return. Uncertainty estimation and confidence level calculation. International regulatory framework and standards. Behavioral evaluation in the context of alternative design.

This course introduces students to the fundamentals of C and C++ programming with a focus on solving engineering problems in naval architecture and marine engineering. Topics include basic language grammar, data types, control structures, functions, and an introduction to classes and object-oriented programming. Students learn how to write efficient, structured programs and apply computational methods to naval architecture and marine engineering applications. A student project help develop practical coding skills for real-world engineering scenarios

Dynamic ship responses in waves. Short-term and long-term stochastic consideration. Assessment of long-term maximum and design values for motions and loadings. Class rules and regulations. Added resistance and random incidents. Voluntary and involuntary speed reduction in waves. Impact of ship motion on crew and passengers, criteria for comfort, questionnaires. Operational efficiency. Route selection, based on weather and sea state predictions. Impact of hull form on the dynamic behavior in waves. Roll absorption and methods to reduce roll. Sea trials for the behavior in waves (on board, with models in the laboratory and at sea.) The course includes an assignment on the analytical design of the allowable operational field of a vessel using a computer code using strip theory.

Interdisciplinary course dealing with the management of environmental problems arising from the activities of the engineer.

Study of port functions and presentation of their role in the combined transport chain. Presentation and analysis of issues related to the administration, planning and development of ports, cargo handling and handling and the application of related optimization methods. Institutional port models. The ISPS code for port security. Competitiveness of ports and access to the port services market. Recording of institutional and other developments in the international and Greek space. Maritime traffic management issues, ship-port interface, and environmental improvement and immunity.

The subject of the course is the history of engineers and engineering sciences. The lectures focus on the formation of engineering studies and the profession (military corps, state bureaucracy, industry), in the period 19th - 20th century, in Western Europe, USA and Greece. Emphasis is placed on the comparative study of engineering education in individual national contexts, in order to demonstrate the special characteristics of engineering studies, profession and social status. At the same time, issues of critical importance for the history of engineering are examined such as: the emergence of modernity, materials, movements of resistance and appropriation of the technological phenomenon, the relationship between science and technology, and the formation of engineering sciences, as a combination of pure and applied of science (technology). The outline of the engineer's identity is made with reference to society, politics, cultural origins and epistemological traditions.

A. Introduction to the basic principles of development and operation of Artificial and Computational Intelligence systems. Summary of centralized and distributed intelligence. Knowledge (structure, representation, manipulation), reasoning, intelligent behavior. Presentation of the structure, operation and exploitation of modern knowledge-based software systems that allow easy integration of rules, regulations, empirical guidelines and various restrictive provisions. B. Genetic algorithms and evolutionary systems. Genetic structures and evolutionary agents. Parameters of evolutionary systems. Behavior and convergence of evolutionary systems. Optimization and other applications of evolutionary systems. Other techniques (Neural networks, Fuzzy Logic, Self-organizing systems). Fuzzy systems, meta-heuristics, artificial immune networks. C. Applications in ship design and operation. Hull shape optimization with the help of Computational Intelligence and ES. Ship systems design support. Presentation and laboratory familiarization with two expert systems that support ship loading and optimal ship routing. D. General principles of Machine Learning. Introduction to the field of machine learning-the different types. Supervised learning. Unsupervised learning. Prediction (linear, logistic regression). Support Vector Machines. Reinforcement learning. Bayesian learning. E. Deep Learning Neural Networks. Learning complex representations with data. Review. Big data. Examples of structures. Applications in technological and scientific areas. G. Programming Tools for Neural Networks. The NN/DNN toolbox in MATLAB. Modern hardware platforms.

Statistical background of Measurements. Error Theory. Statistical analysis of correlation of dependent variables. Derivation and evaluation of measured data. Design and execution of experiments. Comparative experiments. Multi-parametric experimental campaigns. Computer Simulation of experimental procedures. Recording arrangements for real-time data collection. Measurement, evaluation, and analysis of stochastic quantities. Spectral analysis. Theoretical background and design of Digital filters. Measurements in the marine environment and in the laboratory. Data acquisition systems. Standardization in data acquisition and processing. The course includes three laboratory exercises concerning: Connections, reception, processing, spectral and statistical analysis of stochastic measurements in the experimental NTUA Towing Tank. Also, transformer wiring, estimation of measurement errors and adjustment of results.

Introduction to finance. Present value and cost of capital. Investment decisions. Risk and return. Planning of capital availability. Financing of large shipping companies. Shareholding policy and capital structure. Shipping investment. Sources of capital, bank lending, capital markets. Risk management.

Maneuvering and course stability considerations in ship design. Specific requirements and Maneuvering and course stability considerations in ship design. Specific requirements and problems by type of vessel. Development of linear and nonlinear models. Determination of satisfactory behavior criteria. Course stability using active steering control. Ship maneuvering and course keeping in restricted waters. The problem of squat in shallow water. Other environmental effects. Developing a model for the stopping maneuver. Influence of design parameters. Criteria for satisfactory behavior within as well as out of the framework of international regulations.

The course’s subject is Engineering Ethics. It focuses on the specific standards of behavior, ideals and practices that apply to professional engineers. What does the expression ""thinking like an engineer"" mean, what concepts does it encompass and what degree of professional autonomy does this attribute imply? The main objective of the course is to help engineering students understand existing ethical theories and the problems involved in the application of their science. The objective is achieved through an overview of competing ideas, theories and arguments in the field of moral philosophy and the analysis of case studies, which explore the dynamic relationships between ethical theory and practice within the profession.

Fundamental partial differential equations (PDE’s) in fluid dynamics and discretization. Regarding spatial discretization, finite difference and finite volume methods are presented. Focus on convection- diffusion equations using the finite volume approach. Explicit-Implicit schemes for time discretization. Various options are presented for the spatial discretization with focus on the numerical properties of the schemes (error and stability). Solution of system of equations using the previous techniques- basic introduction to the Navier-Stokes equations and turbulence modelling using the RANS approach. The course has compulsory assignments.

Successive stages in the design of floating structures and offshore facilities. Description of environmental data (wind, currents, waves). Determination of loads from the action of the environment (loads of wind, currents, waves). Morison equation and applications for hydrodynamically “thin”, rigid and deformable structures. Hydrodynamic analysis using three-dimensional dynamic flow. First and second order diffraction and radiation problems. Exact and approximate methods and solutions. Method of hydrodynamic analysis of floating semi-submerged platforms. Examples. Static analysis of simple anchor moorings.

General Chemistry is the study of the composition, structure, transformations and properties of matter, as well as the study of the relationships between molecular and macroscopic quantities. The course includes the basic concepts of General Chemistry regarding the structure and states of matter, atomic theory, chemical bonds, solutions, chemical kinetics, chemical equilibrium and electrochemistry. It also includes the provision of basic knowledge in special topics of Inorganic and Organic Chemistry, such as nuclear chemistry as well as water and atmospheric chemistry. Specifically, it includes the following sections: Atomic Theory – Chemical Bonds – Solid State Chemistry – Semiconducting Materials – Chemical Kinetics and Chemical Equilibrium – Electrochemistry – Electrolytic Solutions – Plating – Composite Materials – Toxic Chemicals in Electrochemical Processes – Chemistry of Organic Coatings – Polymers – Photochemistry and Photoelectrochemistry – Principles of Nuclear Chemistry and Technology – Water Chemistry – Drinking Water – Desalination and Water Softening Techniques – Water Pollution – Marine Pollution – Marine Environmental Restoration after Maritime Accidents – Atmospheric Chemistry – Atmospheric Pollution. The course also includes laboratory exercises related to electrochemistry and materials corrosion processes.

The course provides the fundamental background for understanding international developments in matters of safety and marine environmental protection in relation to the design and operation of ships. The following topics are included: Introduction to design for safety of engineering systems and protection of the marine environment. The concept of safety in maritime transport. A brief historical overview. The particularities of modern maritime safety regulations. Key areas in the development of maritime safety regulations. The framework of IMO regulations and classification society rules. The process of development, ratification, and implementation of IMO international conventions. Safety as a measurable quantity. The concept of risk. Identification of hazards and consequences. Definition of acceptable levels of risk. Tools for quantifying safety. Qualitative and quantitative risk assessment. Analysis methods for qualitative and quantitative risk evaluation. Examples. Technical content of major international conventions on safety and environmental protection: Load line determination, tonnage calculation, the International Convention for the Safety of Life at Sea (SOLAS), other safety-related initiatives, the International Convention for the Prevention of Pollution from Ships (MARPOL 73/78), the broader regulatory framework for air emission issues, the International Convention for the Control and Management of Ships’ Ballast Water and Sediments, and other issues related to marine environmental protection. Probabilistic methods in ship design: Damage stability. Evaluation of oil outflow from tankers in case of damage. Special safety and environmental protection issues by ship type: Tankers, bulk carriers, container ships, passenger/ro-ro vessels, and fishing vessels.

Application examples of the Galerkin method with finite elements to one-dimensional two-point boundary value problems and to two-dimensional Dirichlet problems. • Hilbert spaces, Projection Theorem. • Boundary Value Problems and Galerkin Method: General weak form. Lax-Milgram theorem. Galerkin theorem. General error estimation. • Generalized derivatives and Sobolev spaces. Green's formulas. • Elliptic boundary value problems. Existence and uniqueness. • Finite Element Methods for Elliptic Boundary Value Problems: One-dimensional finite elements. Piecewise polynomial functions. Cubic Hermite functions and splines. Two-dimensional and three-dimensional finite elements. Error estimation. • Finite Element Methods for Evolutionary Boundary Value Problems: Parabolic and hyperbolic problems. • Applications: Fluid flow, Heat flow, Loaded beam. • Finite Differences: One-dimensional two-boundary value problem, Inhomogeneous Dirichlet problem for Poisson equation (5-point scheme), Heat equation (FTCS, Crank-Nicolson, Stability), Hyperbolic problems (CFL condition). • The aim of the course is to understand the basic finite element and difference methods for solving boundary value problems, as well as the qualitative characteristics of these methods (stability, linear system solvability and error estimates).