This eBook was written as the sequel to the eBook titled DC Circuits, which was written in 2016 by Chad Davis.
This eBook covers Alternating Current (AC) circuit theory as well us a brief introduction of electronics. It is
broken up into seven modules. Module 1 covers the basic theory of AC signals. Since only DC sources are used in
the first eBook, details of AC signals such as sinusoidal waveforms (or sine waves), square waves, and triangle
waves are provided. Module 2, titled AC Circuits Math Background, covers the mathematics background needed
for solving AC circuit problems. The background material in Modules 1 and 2 are combined in Module 3 to solve
circuits with AC sources that include resistors, inductors, and capacitors (RLC circuits).

The course treats the following topics: - Relevant physical oceanography - Elements of marine geology (seafloor topography, acoustical properties of sediments and rocks) - Underwater sound propagation (ray acoustics, ocean noise) - Interaction of sound with the seafloor (reflection, scattering) - Principles of sonar (beamforming) - Underwater acoustic mapping systems (single beam echo sounding, multi-beam echo sounding, sidescan sonar) - Data analysis (refraction corrections, digital terrain modelling) - Applications (hydrographic survey planning and navigation, coastal engineering) - Current and future developments.

"The 16 lectures in this course cover the topics of adaptive antennas and phased arrays. Both theory and experiments are covered in the lectures. Part one (lectures 1 to 7) covers adaptive antennas. Part two (lectures 8 to 16) covers phased arrays. Parts one and two can be studied independently (in either order). The intended audience for this course is primarily practicing engineers and students in electrical engineering. This course is presented by Dr. Alan J. Fenn, senior staff member at MIT Lincoln Laboratory. Online Publication"

Open textbook in statics for engineering undergraduates. Covers particles and rigid bodies (extended bodies), structures (trusses), and simple machines. Includes text, videos, images, and worked examples (written and video).

A comprehensive treatment of the advanced methods of applied mathematics. Designed to strengthen the mathematical abilities of graduate students and train them to think on their own. Review of elementary methods in complex analysis, ordinary differential equations, and partial differential equations. Expansions around regular and irregular singular points; asymptotic evaluation of integrals, regular perturbations; WKB method; multiple scale method; boundary-layer techniques.

This course is a survey of principal concepts and methods of fluid dynamics. Topics include mass conservation, momentum, and energy equations for continua; Navier-Stokes equation for viscous flows; similarity and dimensional analysis; lubrication theory; boundary layers and separation; circulation and vorticity theorems; potential flow; introduction to turbulence; lift and drag; surface tension and surface tension driven flows.

This course is designed to introduce students who wish to specialize in stress analysis of thin-walled structures to more advanced topics such as the analysis of statically indeterminate structures, warping, constraint stresses, shear diffusion, and elements of plate bending.

Foundations of 3D elasticity. Fluid and elastic wave equations. Elastic and plastic waves in rods and beams. Waves in plates. Interaction with an acoustic fluid. Dynamics and acoustics of cylindrical shells. Radiation and scattering by submerged plates and shells. Interaction between structural elements. Response of plates and shells to high-intensity loads. Dynamic plasticity and fracture. Damage of structure subjected to implosive and impact loads.

This course extends fluid mechanic concepts from Unified Engineering to the aerodynamic performance of wings and bodies in sub/supersonic regimes. 16.100 generally has four components: subsonic potential flows, including source/vortex panel methods; viscous flows, including laminar and turbulent boundary layers; aerodynamics of airfoils and wings, including thin airfoil theory, lifting line theory, and panel method/interacting boundary layer methods; and supersonic and hypersonic airfoil theory. Course material varies each year depending upon the focus of the design problem.

These courses, produced by the Massachusetts Institute of Technology, introduce the fundamental concepts and approaches of aerospace engineering, highlighted through lectures on aeronautics, astronautics, and design. MIT˘ď‹ď_s Aerospace and Aeronautics curriculum is divided into three parts: Aerospace information engineering, Aerospace systems engineering, and Aerospace vehicles engineering. Visitors to this site will find undergraduate and graduate courses to fit all three of these areas, from Exploring Sea, Space, & Earth: Fundamentals of Engineering Design to Bio-Inspired Structures

Fundamentals of human performance, physiology, and life support impacting engineering design and aerospace systems. Topics include: effects of gravity on the muscle, skeletal, cardiovascular, and neurovestibular systems; human/pilot modeling and human/machine design; flight experiment design; and life support engineering for extravehicular activity (EVA). Case studies of current research are presented. Assignments include a design project, quantitative homework sets, and quizzes emphasizing engineering and systems aspects.

Classical dynamics beyond Unified Engineering. Application of vector kinematics to analyze the translation and rotation of rigid bodies. Formulation and solution of the equations of motion using both Newtonian and Lagrangian methods. Analytical and numerical solutions to rigid body dynamics problems. Applications to aircraft flight dynamics and spacecraft attitude dynamics.

This course meets weekly, to discuss a combination of aerospace history and current events, in order to understand how they are responsible for the state of the aerospace industry. With invited subject matter experts participating in nearly every session, students have an opportunity to hone their insight through truly informed discussion. The aim of the course is to prepare junior and senior level students for their first industry experiences. Deliverables include a journal and class participation.

Our human society consists of many intertwined Large Scale Socio-Technical Systems (LSSTS), such as infrastructures, industrial networks, the financial systems etc. Environmental pressures created by these systems on Earth‰ŰŞs carrying capacity are leading to exhaustion of natural resources, loss of habitats and biodiversity, and are causing a resource and climate crisis. To avoid this sustainability crisis, we urgently need to transform our production and consumption patterns. Given that we, as inhabitants of this planet, are part of a complex and integrated global system, where and how should we begin this transformation? And how can we also ensure that our transformation efforts will lead to a sustainable world? LSSTS and the ecosystems that they are embedded in are known to be Complex Adaptive Systems (CAS). According to John Holland CAS are "...a dynamic network of many agents (which may represent cells, species, individuals, firms, nations) acting in parallel, constantly acting and reacting to what the other agents are doing. The control of a CAS tends to be highly dispersed and decentralized. If there is to be any coherent behavior in the system, it will have to to arise from competition and cooperation among the agents themselves. The overall behavior of the system is the result of a huge number of decisions made every moment" by many individual agents. Understanding Complex Adaptive Systems requires tools that themselves are complex to create and understand. Shalizi defines Agent Based Modeling as "An agent is a persistent thing which has some state we find worth representing, and which interacts with other agents, mutually modifying each other‰ŰŞs states. The components of an agent-based model are a collection of agents and their states, the rules governing the interactions of the agents and the environment within which they live." This course will explore the theory of CAS and their main properties. It will also teach you how to work with Agent Based Models in order to model and understand CAS.

Brief review of applied aerodynamics and modern approaches in aircraft stability and control. Static stability and trim. Stability derivatives and characteristic longitudinal and lateral-directional motions. Physical effects of wing, fuselage, and tail on aircraft motion. Flight vehicle stabilization by classical and modern control techniques. Time and frequency domain analysis of control system performance. Human pilot models and pilot-in-the-loop control with applications. V/STOL stability, dynamics, and control during transition from hover to forward flight. Parameter sensitivity and handling quality analysis of aircraft through variable flight conditions. Brief discussion of motion at high angles-of-attack, roll coupling, and other nonlinear flight regimes.

16.885J offers an holistic view of the aircraft as a system, covering: basic systems engineering; cost and weight estimation; basic aircraft performance; safety and reliability; lifecycle topics; aircraft subsystems; risk analysis and management; and system realization. Small student teams retrospectively analyze an existing aircraft covering: key design drivers and decisions; aircraft attributes and subsystems; and operational experience. Oral and written versions of the case study are delivered. For the Fall 2005 term, the class focuses on a systems engineering analysis of the Space Shuttle. It offers study of both design and operations of the shuttle, with frequent lectures by outside experts. Students choose specific shuttle systems for detailed analysis and develop new subsystem designs using state of the art technology.

This course treats various methods to design and analyze datastructures and algorithms for a wide range of problems. The most important new datastructure treated is the graph, and the general methods introduced are: greedy algorithms, divide and conquer, dynamic programming and network flow algorithms. These general methods are explained by a number of concrete examples, such as simple scheduling algorithms, Dijkstra, Ford-Fulkerson, minimum spanning tree, closest-pair-of-points, knapsack, and Bellman-Ford. Throughout this course there is significant attention to proving the correctness of the discussed algorithms. All material for this course is in English. The recorded lectures, however, are in Dutch.

A comprehensive introduction to control system synthesis in which the digital computer plays a major role, reinforced with hands-on laboratory experience. Covers elements of real-time computer architecture; input-output interfaces and data converters; analysis and synthesis of sampled-data control systems using classical and modern (state-space) methods; analysis of trade-offs in control algorithms for computation speed and quantization effects. Laboratory projects emphasize practical digital servo interfacing and implementation problems with timing, noise, nonlinear devices.

This course develops the fundamentals of feedback control using linear transfer function system models. Topics covered include analysis in time and frequency domains; design in the s-plane (root locus) and in the frequency domain (loop shaping); describing functions for stability of certain non-linear systems; extension to state variable systems and multivariable control with observers; discrete and digital hybrid systems and use of z-plane design. Students will complete an extended design case study. Students taking the graduate version (2.140) will attend the recitation sessions and complete additional assignments.

This subject is designed to inform students on the analytical foundations of inviscid subsonic aerodynamics. A primary goal of this subject is to equip students with the scientific rigor, applied mathematical complexity, and physical understanding that form the foundation of classical subsonic aerodynamics. Perturbation methods that both simplify mathematical complexity and expand physical understanding of critical phenomenon in fluid flow provides a framework for the subject. The subject offers lectures in classical subsonic aerodynamics at the graduate level on inviscid, subsonic, steady flow over slender aerodynamic bodies. Topics will be selected from: fundamentals of fluid mechanics [review]; singular-perturbation methods; similitude; subsonic flows with axial symmetry; linearized subsonic flow; slender body theory; similarity rules for subsonic flows; two-dimensional flow past a wave-shaped wall; thin wing theory; Kaplan’s higher approximations.

Fundamentals of nuclear physics for engineering students. Basic properties of the nucleus and nuclear radiations. Elementary quantum mechanical calculations of bound-state energies and barrier transmission probability. Binding energy and nuclear stability. Interactions of charged particles, neutrons, and gamma rays with matter. Radioactive decays. Energetics and general cross-section behavior in nuclear reactions.

This course teaches simple reasoning techniques for complex phenomena: divide and conquer, dimensional analysis, extreme cases, continuity, scaling, successive approximation, balancing, cheap calculus, and symmetry. Applications are drawn from the physical and biological sciences, mathematics, and engineering. Examples include bird and machine flight, neuron biophysics, weather, prime numbers, and animal locomotion. Emphasis is on low-cost experiments to test ideas and on fostering curiosity about phenomena in the world.

Design of shoreline protection along rivers, canals and the sea; load on bed and shoreline by currents, wind waves and ship motion; stability of elements under current and wave conditions; stability of shore protection elements; design methods, construction methods. Flow: recapitulation of basics from fluid mechanics (flow, turbulence), stability of individual grains (sand, but also rock) in different type of flow conditions (weirs, jets), scour and erosion. Porous Media: basic equation, pressures and velocities on the stability on the boundary layer; groundwater flow with impermeable and semi-impermeable structures; granular filters and geotextiles. Waves: recapitulation of the basics of waves, focus on wave forces on the land-water boundary, specific aspects of ship induced waves, stability of elements under wave action (loose rock, placed blocks, impermeable layers) Design: overview of the various types of protections, construction and maintenance; design requirements, deterministic and probabilistic design; case studies, examples Materials and environment: overview of materials to be used, interaction with the aquatic environment, role of the land-water boundary as part of the ecosystem; environmentally sound shoreline design.

While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization.

This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position.

Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to:

assess their current situation regarding potential big data-induced changes of a disruptive nature,
identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and
strengthen their own position and that of their organization in our digitalized knowledge economy
The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes.

Biomechatronics is a contraction of biomechanics and mechatronics. In this course the function and coordination of the human motion apparatus is the central focus, and the design of assistive devices for the support of the function of the motion apparatus.

Each term, the class selects a new set of professional journal articles on bioengineering topics of current research interest. Some papers are chosen because of particular content, others are selected because they illustrate important points of methodology. Each week, one student leads the discussion, evaluating the strengths, weaknesses, and importance of each paper. Subject may be repeated for credit a maximum of four terms. Letter grade given in the last term applies to all accumulated units of 16.459.

This page, presented by MIT and made available online via the university's Open Courseware site, presents a series of materials on biological engineering. Topics include introduction to biological engineering design, systems microbiology, computation for biological engineers and molecular principles of biomaterials. Materials are at both the undergraduate and graduate school levels. OpenCourseWare is free educational material online. Video lectures, assignments and exams are included. No registration or enrollment is required to use the materials.

This course provides intensive coverage of the theory and practice of electromechanical instrument design with application to biomedical devices. Students will work with MGH doctors to develop new medical products from concept to prototype development and testing. Lectures will present techniques for designing electronic circuits as part of complete sensor systems. Topics covered include: basic electronics circuits, principles of accuracy, op amp circuits, analog signal conditioning, power supplies, microprocessors, wireless communications, sensors, and sensor interface circuits. Labs will cover practical printed circuit board (PCB) design including component selection, PCB layout, assembly, and planning and budgeting for large projects. Problem sets and labs in the first six weeks are in support of the project. Major team-based design, build, and test project in the last six weeks. Student teams will be composed of both electrical engineering and mechanical engineering students.

This course presents a design philosophy and a design approach, dedicated to rehabilitation technology. This field was selected because of human-machine interaction is inherent and vital. Illustrative examples will be discussed by their entire design process

This course will introduce the student to the major concepts of biotechnology. The student will discuss genetic engineering of plants and animals and the current major medical, environmental, and agricultural applications of each. There are also a variety of topics that this course will cover after ranging from nanobiotechnology to environmental biotechnology. Upon successful completion of this course, the student will be able to: identify and describe the fields of biotechnology; compare and contrast forward and reverse genetics and the way they influence biodiversity; compare and contrast systemic studies of the genome, transcriptome, and proteome; explain how genome projects are performed, and discuss the completion and the information processing in these projects; describe and explain the principles of existing gene therapies; design strategies that support genetic counseling; explain and analyze DNA fingerprints, and compare DNA fingerprints to non-DNA biometrics; describe and compare bioremediation technologies in air, water, and soil; design strategies for generating genetically modified organisms, and discuss ethical concerns; discuss emerging fields in biotechnology. (Biology 403)

Design and construction of breakwaters and closure dams in estuaries and rivers. Functional requirements, determination of boundary conditions, spatial and constructional design and construction aspects of breakwaters and dams consisting of rock, sand and caissons.

The course is concerned with the concept of structural stability. This concept is applied to discrete and continuous basic structural elements (beams, frames, plates and shells). The fundamental concepts are introduced on the basis of the governing differential equations. The course includes the following topics:

*Equations of motion, nonlinear equilibrium equations, stationary potential energy criterion.
*Stability analysis for the basic structural elements.
*Design methods for stability of basic structural elements.

Are you interested in building and testing your own imaging radar system? MIT Lincoln Laboratory offers this 3-week course in the design, fabrication, and test of a laptop-based radar sensor capable of measuring Doppler, range, and forming synthetic aperture radar (SAR) images. You do not have to be a radar engineer but it helps if you are interested in any of the following; electronics, amateur radio, physics, or electromagnetics. It is recommended that you have some familiarity with MATLAB;. Teams of three students will receive a radar kit and will attend a total of 5 sessions spanning topics from the fundamentals of radar to SAR imaging. Experiments will be performed each week as the radar kit is implemented. You will bring your radar kit into the field and perform additional experiments such as measuring the speed of passing cars or plotting the range of moving targets. A final SAR imaging contest will test your ability to form a SAR image of a target scene of your choice from around campus; the most detailed and most creative image wins.

Do you want to enhance your business model by creating a clear focus or implement your new business model innovation into your IT?

In this business and management course, we will discuss business model agility and how specific business model metrics will help you focus on the overall goals of our business.

You will also learn about advanced tools to help support the bridge between business model thinking and IT implementation.

The world is changing rapidly and full of uncertainties. The future success of a business model depends on how well it is adapted to changing circumstances. Do you want to become aware of the relevant developments in technology, markets and society? And understand how this affects your business?

This business and management course will teach you how to stress test your business model. You will learn how to identify the relevant trends and uncertainties and how they impact your business model. You will analyse the strong and weak parts of your business model and look for opportunities to make your business model more robust and future proof.

You will learn through real-world examples from well-known companies and interact with fellow entrepreneurs. By the end of this course, you will be able to stress test your own business model to analyse its future success.

Summary: Cavitation is the transition of a fluid into vapour due to local reduction of pressure which is generated by high local flow velocities. The transition of a fluid into vapour also occurs during cooking of water by an increase of the local temperature. The term cavitation is generally reserved for conditions in which the temperature of the bulk fluid is not changed. Although cavitation can occur in many situations this course focuses on ship hydrodynamics and ship propellers. The course is divided into five main groups: physics, types and effects of cavitation as well as calculations and test facilities and techniques. Some of these topics are illustrated with the use of videos. (Study goals:) 1. Reproduce the main lines in a selection of the latest developments in the field of propulsion and resistance hydrodynamics, where the current selection of propulsion and resistance topics includes unsteady hydrodynamics of the flow over a foil, cavitation forms, problems and tools for analysis and design, propulsion systems in a service environment and ship drag reduction by air lubrication. 2. Analyse a hydrodynamic problem in the propulsion and resistance area, into well defined sub problems that can be analysed with state of the art knowledge and tools 3. Select the appropriate theory or tool (either numerical or experimental) for an analysis of the identified problem. 4. Reproduce and present to an audience, the main lines in a contemporary publication from the field of Propulsion and Resistance hydrodynamics. 5. Understand, interpret and react to questions from the audience and the lecturer and in doing so, stimulate the scientific debate.

MIT presents this material on chemical engineering as part of their free online open courseware. Materials from undergraduate and graduate courses are available for download. Sample course titles include chemical and biological reaction engineering, integrated chemical engineering and fundamentals of advanced energy conversion. Materials available differ for each course, but may include lecture notes, assignments and solutions, online textbooks, projects and examples, exams and solutions, image galleries and more.

Our global society is not sustainable. We all know about the challenges we’re facing: waste, climate change, resource scarcity, loss of biodiversity. At the same time, we want to sustain our economies and offer opportunities for a growing world population. This course is about providing solutions we really believe in: a Circular Economy.

In this course we explore the Circular Economy: how businesses can create value by reusing and recycling products, how designers can come up with amazingly clever solutions, and how you can contribute to make the Circular Economy happen.

Based on working on exercises on project decision making and planning, the specific context of working abroad in general and in developing countries in particular is illustrated, with regard to socio-cultural aspects, planning and financing of projects, roles of (consulting) engineers and contractors, local materials, techniques and knowledge and environmental issues.

This is a class about applying autonomy to real-world systems. The overarching theme uniting the many different topics in this course will center around programming a cognitive robotic. This class takes the approach of introducing new reasoning techniques and ideas incrementally. We start with the current paradigm of programming you're likely familiar with, and evolve it over the semester—continually adding in new features and reasoning capabilities—ending with a robust, intelligent system. These techniques and topics will include algorithms for allowing a robot to: Monitor itself for potential problems (both observable and hidden), scheduling tasks in time, coming up with novel plans to achieve desired goals over time, dealing with the continuous world, collaborating with other (autonomous) agents, dealing with risk, and more.