Theoretical topics of fluid dynamics relevant to natural phenomena or man-made hazards in water and atmosphere. Basic law of fluid motion. Scaling and approximations. Slow flows, with applications to drag on a particle and mud flow on a slope. Boundary layers: jets and plumes in pure fluids or in porous media. Thermal and buoyancy effects, selective withdrawal and internal waves. Transient boundary layers in impulsive flows or waves. Induced streaming and mass transport. Dispersion in steady flows or in waves. Effects of earth rotation on coastal flows. Wind induced flow in shallow seas. Stratified seas and coastal upwelling.

The amplitude of the sound waves are the dynamics of music.

These resources are a selection of audio and video podcasts from a first year Dynamics class MAM1044H at the University of Cape Town. The lectures cover a wide range of topics. Systematic introduction to the elements of mechanics kinematics in three dimensions Newtons laws of motion models of forces friction elastic springs fluid resistance Conservation of energy and momentum Simple systems of particles including brief introduction to rigid systems Orbital Mechanics with applications to the planning of space missions to the outer planets

This subject deals primarily with kinetic and equilibrium mathematical models of biomolecular interactions, as well as the application of these quantitative analyses to biological problems across a wide range of levels of organization, from individual molecular interactions to populations of cells.

16.225 is a graduate level course on Computational Mechanics of Materials. The primary focus of this course is on the teaching of state-of-the-art numerical methods for the analysis of the nonlinear continuum response of materials. The range of material behavior considered in this course will include: linear and finite deformation elasticity, inelasticity and dynamics. Numerical formulation and algorithms will include: Variational formulation and variational constitutive updates, finite element discretization, error estimation, constrained problems, time integration algorithms and convergence analysis. There will be a strong emphasis on the (parallel) computer implementation of algorithms in programming assignments. At the beginning of the course, the students will be given the source of a base code with all the elements of a finite element program which constitute overhead and do not contribute to the learning objectives of this course (assembly and equation-solving methods, etc.). Each assignment will consist of formulating and implementing on this basic platform, the increasingly complex algorithms resulting from the theory given in class, as well as in using the code to numerically solve specific problems. The application to real engineering applications and problems in engineering science will be stressed throughout.

This course focuses on laws, approximations, and relations of continuum mechanics. Topics include mechanical and electromechanical transfer relations, statics and dynamics of electromechanical systems having a static equilibrium, electromechanical flows, and field coupling with thermal and molecular diffusion. See the syllabus section for a more detailed list of topics.

"This course focuses on laws, approximations and relations of continuum electromechanics. Topics include mechanical and electromechanical transfer relations, statics and dynamics of electromechanical systems having a static equilibrium, electromechanical flows, and field coupling with thermal and molecular diffusion. Also covered are electrokinetics, streaming interactions, application to materials processing, magnetohydrodynamic and electrohydrodynamic pumps and generators, ferrohydrodynamics, physiochemical systems, heat transfer, continuum feedback control, electron beam devices, and plasma dynamics. Acknowledgements The instructor would like to thank Xuancheng Shao and Anyang Hou for transcribing into LaTeX the problem set solutions and exam solutions, respectively."

This course covers the mathematical modeling, analysis, and control of physical systems that are in rest, in motion, or acted upon by a force; it explores the dynamics of mechanical, thermal, fluid, electrical, and hybrid systems and sub-systems. Upon successful completion of this course, students will be able to: Define dynamic systems and types; Identify how mechanical, thermal, fluid, and electrical systems are modeled; Develop and review the required mathematical background for dynamic systems and control; Identify the characteristics of first- and second-order dynamic systems; Analyze dynamic systems in time-domain and frequency-domain; Identify stability of dynamic systems for controller design; Explain how dynamic systems are controlled; Define feedback control and identify various types of feedback controllers; Explain how controllers are designed for dynamic systems; Migrate from MATLAB to SCILAB; Analyze first- and second-order systems using SCILAB; Generate response and analyze response results using SCILAB; Identify and design controllers using SCILAB; Solve controller design through an example using SCILAB; Explain advanced control techniques such as digital controls, robust controls, and Z-transformations; Relate the application of control systems to real world problems using various case studies. (Mechanical Engineering 401)

An overview of the musical terms related to the dynamics, or loudness, of music, including accents.

Introduction to "Art History and Its Publications in the Electronic Age", Part I, "Dynamics of Art History Publication".

This collection develops the ideas of model, dynamics, and simulation that have been used successfully in science and engineering is a way to be applied in the social sciences. These notes were originally used in a course at Rice University taught to engineers and social scientist in 1973-74.

Introduces the basic methods for infectious disease epidemiology and case studies of important disease syndromes and entities. Methods include definitions and nomenclature, outbreak investigations, disease surveillance, case-control studies, cohort studies, laboratory diagnosis, molecular epidemiology, dynamics of transmission, and assessment of vaccine field effectiveness. Case-studies focus on acute respiratory infections, diarrheal diseases, hepatitis, HIV, tuberculosis, sexually transmitted diseases, malaria, and other vector-borne diseases.

Solving problems is an essential part of the understanding process.

This course introduces finite element methods for the analysis of solid, structural, fluid, field, and heat transfer problems. Steady-state, transient, and dynamic conditions are considered. Finite element methods and solution procedures for linear and nonlinear analyses are presented using largely physical arguments. The homework and a term project (for graduate students) involve use of the general purpose finite element analysis program ADINA. Applications include finite element analyses, modeling of problems, and interpretation of numerical results.

Finite element analysis is now widely used for solving complex static and dynamic problems encountered in engineering and the sciences. In these two video courses, Professor K. J. Bathe, a researcher of world renown in the field of finite element analysis, teaches the basic principles used for effective finite element analysis, describes the general assumptions, and discusses the implementation of finite element procedures for linear and nonlinear analyses. These videos were produced in 1982 and 1986 by the MIT Center for Advanced Engineering Study.

Students discover fluid dynamics related to buoyancy through experimentation and optional photography. Using one set of fluids, they make light fluids rise through denser fluids. Using another set, they make dense fluids sink through a lighter fluid. In both cases, they see and record beautiful fluid motion. Activities are also suitable as class demonstrations. The natural beauty of fluid flow opens the door to seeing the beauty of physics in general.

This course introduces fluid mechanics, the study of how and why fluids (both gaseous and liquid) behave the way they do. Upon successful completion of this course, the student will be able to: Formulate basic equation for fluid engineering problems; Use the Poiseuille equation, Reynolds number correlations, and Moody chart for description of laminar and turbulent pipe flow; Use tables, figures, and energy equations to predict pressure drop in pipes, across fittings and through pumps and turbines; Use tables and figures to determine the friction energy loss; Perform dimensional analysis and identify important parameters; Calculate pressure distributions, forces on surfaces, and buoyancy; Analyze flow situations and use appropriate methods to obtain quantitative information for engineering applications. (Mechanical Engineering 201)

Explore the forces at work when you try to push a filing cabinet. Create an applied force and see the resulting friction force and total force acting on the cabinet. Charts show the forces, position, velocity, and acceleration vs. time. View a Free Body Diagram of all the forces (including gravitational and normal forces).

Explore the forces at work when you try to push a filing cabinet. Create an applied force and see the resulting friction force and total force acting on the cabinet. Charts show the forces, position, velocity, and acceleration vs. time. View a Free Body Diagram of all the forces (including gravitational and normal forces).