I took this class in a Study Abroad in ICELAND while specializing in Geothermal energy. To learn more, click on "MORE" and then "ICELAND" on the upper tab bar.
Introduction to heat transfer processes, steady and unsteady state conduction, multidimensional analysis. Introduction to convective heat transfer.
(A) Introduction to the fundamental concepts in fluid mechanics and basic fluid properties. Basic equations of fluid flow. Dimensional analysis and similitude. Hydrodynamics.
(B) Incompressible viscous flow. Turbomachinery. Boundary-layer theory. Introductory considerations for one-dimensional compressible flow.
Equations of Motion for Mechanical, Electrical, Heat, Fluid, and Control Systems. Block diagram algebra and interconnections. Laplace transform. Transfer functions and dynamic stability. First and second order systems. First and second order systems. Frequency response. Introduction to mechanical vibrations and feedback control design.
ME 107 is taught at the undergraduate level and teaches students how to identify a machine learning problem in the context of real-world applications, mathematically formulate a learning problem, identify when a learning problem is well-posed, under-determined and overdetermined, and develop algorithms and Python code to solve the problem. Students are introduced to the concepts of learning algorithms, overfitting, under-fitting, statistical measures of estimators, optimization approaches to learning, principal component analysis, regression, support vector machines, and artificial neural networks.
Modeling and translation into practical FEA using SolidWorks simulation tools. The course focuses on choosing the correct constraints for parts and assembly. Another focus is on moving parts within SolidWorks. If time permits the class considers optimization of mechanical structures based on anticipated loads. This class goes through the cycle of designing, performing FEA, testing and repeat. SolidWorks, including its geometry optimization module, is used in this class as a "calculator".
Introduction to the structure of engineering materials and its relationship with their mechanical properties. Structure of solids and defects. Concepts of microstructure and origins. Elastic, plastic flow and fracture properties. Mechanisms of deformation and failure. Stiffening, strengthening, and toughening mechanisms.
Introduction to applied mechanics. Forces, moments, couples, and resultants; vector algebra; construction of free body diagrams; equilibrium in 2- and 3- dimensions; analysis of frames, machines, trusses and beams; distributed forces; friction.
Properties of structural materials, including Hooke?s law and behavior beyond the elastic limit. Concepts of stress, strain, displacement, force, force systems, and multiaxial stress states. Design applications to engineering structures, including problems of bars in tension, compression, and torsion, beams subject to flexure, pressure vessels, and buckling.
Vectorial kinematics of particles. Coordinate systems, moving frames, relative and constrained motion. Dynamics of particles and systems of particles. Energy and momentum methods. Collisions. Planar kinematics and kinematics of rigid bodies. Energy and momentum methods for rigid body systems.
Introduction to basic numerical and analytical methods, with implementation using MATLAB. Topics include a Matlab review, ordinary differential equations, partial differential equations and boundary conditions, eigenvalue/eigenvectors. Graphic and visualization tools in Matlab.
Introduction to basic electrical circuits and electronics. Includes Kirchhoff's laws, phasor analysis, circuit elements, operational amplifiers and transistor circuits.
Measurement, units, and foundations of physics; vectors; kinematics; circular motion; forces, mass, and Newton's laws; center of mass; momentum; work and energy; conservation laws; collisions; rotational kinematics.
Rotational dynamics and angular momentum; equilibrium and elasticity; periodic motion including LRC electrical circuits; gravitation; fluid mechanics; temperature; thermal expansion; heat and the first law of thermodynamics; heat conduction; kinetic theory of gases; entropy and the second law; heat engines.
Mechanical waves, wave interference and normal modes, sound and hearing, electric field, Gauss's law, electric potential, capacitance and dielectrics, current, resistance, electromotive force, DC circuits.
Magnetic fields, electromagnetic induction and inductance, AC circuits, Maxwell's equations, electromagnetic waves, light and geometrical optics, interference and diffraction.
Topics covered: atomic structure of matter; reaction stoichiometry; solution stoichiometry; gasses; quantum chemistry and the electronic structure of atoms; chemical bonding (molecular shapes, hybridization, and molecular orbital theory).
Equilibrium; acids, bases, and buffers; thermochemistry (energy, enthalpy, entropy, and free energy); electrochemistry.
Calculus of functions of several variables, vector valued functions of one variable, derivative and integrals of vector functions, double and triple integrals, properties and applications of integrals, change of variables.
Scalar and vector fields, integration along paths, integration over surfaces and solid regions, integral theorems of vector calculus, Fourier series, partial differential equations.
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