Engineering & Technology

Open Courseware and Resources (general)

- Engineering: discipline of acquiring and applying scientific and technical knowledge to the design, analysis, and/or construction of works for practical purposes
- Technology: a broad concept that deals with a species' usage and knowledge of tools and crafts and how it affects a species' ability to control and adapt to its environment

Introduction to Computers and Engineering Problem Solving

presents the fundamentals of object-oriented software design and development, computational methods and sensing for engineering, and scientific and managerial application; design of classes, inheritance, graphical user interfaces, numerical methods, streams, threads, sensors, and data structures

Communication, Technology and Policy

Technological change, explores the social and policy implications of the digitisation of Australian (and international) telecommunications and broadcasting, Specific policy and technology themes and debates illustrate the choices facing the information society, examines media discourses of communication technology

Frameworks and Models in Engineering Systems / Engineering System Design

quantitative models and qualitative frameworks for studying complex engineering systems, abstracting a complex system into a model for purposes of analysis and design while dealing with complexity, emergent behavior, stochasticity, non-linearities and the requirements of many stakeholders with divergent objectives

Structural Aspects of Biomaterials

overview of medical devices, FDA regulatory issues, biocompatibility and sterilization technology, biomechanical properties (isotropy/anisotropy, stiffness, bending stresses, contact stresses, multiaxial loading, plasticity, fatigue, fracture, wear, corrosion, design issues), Orthopedics, Dental, Cardiovascular, and Soft Tissue Reconstruction

Introduction to Solid State Chemistry

explores basic principles of chemistry & application to engineering systems, relationship between electronic structure chemical bonding & atomic order, characterization of atomic arrangements in crystalline & amorphous solids, organic chemistry, solution chemistry, acid-base equilibria, electrochemistry, biochemistry, chemical kinetics, diffusion, phase diagrams, Examples: quizzes, Study Materials, Related Resources, Readings

Mathematical Methods for Engineers

numerical methods, initial-value problems, network flows and optimization: Readings, Projects, Study Materials

Uncertainty in Engineering

probability & statistics with emphasis on applications, events & probability, Bayes' theorem, random variables & vectors, distributions, Bernoulli trials & Poisson point processes, full-distribution uncertainty propagation, second-moment representation, propagation, conditional analysis, random sampling, estimation, hypothesis testing, linear regression

Numerical Methods in Engineering

root-finding, elementary numerical linear algebra, solving systems of linear equations, curve fitting, numerical quadrature and numerical solution to ordinary differential equations

Convex Optimization

recognizing & solving convex optimization problems in engineering: Convex sets, functions, optimization problems, Basics of convex analysis, Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, Optimality conditions, duality theory, theorems of alternative, applications, Interior-point methods, signal processing, control, digital & analog circuit design, computational geometry, statistics, mech engineering

Introduction to Linear Dynamical Systems

applied linear algebra & dynamical systems, applications to circuits, signal processing, communications, control systems: Least-squares aproximations of over-determined equations, least-norm solutions of underdetermined equations, Symmetric matrices, matrix norm & SVD, Eigenvalues & eigenvectors, Matrix exponential, stability, asymptotic behavior, Multi-input & output, impulse & step matrices, convolution & transfer matrix, Control, reachability, state transfer, least-norm inputs, Observability & least-squares state estimation: support notes, MATLAB files

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