Electrical Engineering Assignment Help

ELECTRICAL ENGINEERING ASSIGNMENT HELP

Electrical engineering is a branch of engineering that includes circuit theory, diodes, capacitors, resistors, transistors, signal processors and Fourier series. It manages the generation, distribution, and application of electrical energy, and also design and control of electrical and electronic devices.

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WHAT IS ELECTRICAL ENGINEERING?

Electrical engineering makes students understand voltage, power, electricity and power theory. It is divided into subfields like Telecommunications, Electronics, Microelectronics, Instrumentation, Signal Processing, Computers, Power and Control, and Power Engineering.

Electrical engineering is used in different fields like transport network, transportation, building industry and services, construction and manufacturing, production of power, etc. Complicated topics covered by electrical engineering are Electronic Materials, Signal processing Electromechanical Energy Conversion, Heat Transfer, Automation, and Modern Asset Management.

Electrical and Electronic Engineering can manage Internet & networking protocols, network design, mobile communications, data servicing, prototype development and testing, systems maintenance, electrical circuitry, and instrument calibration to find the solutions for the problems.

 ELECTRICAL ENGINEERING INCLUDES MANY TOPICS

• Procedures, Conditionals, Control structures Common Errors and Messages, Python Style, Perimeter of a polygon, Normalize a vector, Bank transfer, Programs and Data, Primitives, Composition, Abstraction, and Patterns, Expressions and assignment, Simple expressions, Variables, Structured data, List mutation and shared structure, Tuples  and strings, Definition, Procedure calls, Procedures, Non-local references.
• Basic combination and abstraction of state machines, Parallel composition, Cascade composition, Feedback composition, Plants and controllers, Switch,  Conditionals, Terminating state machines and sequential compositions, the state machine to control the robot, Rotate, Forward, Square Spiral, Conclusion.
• Signals and Systems, Modularity, primitives,  signals and systems abstraction, composition, Linear time-invariant systems, Discrete-time signals and systems, Discrete-time signals, Unit, Signal combinators, sample signal, Algebraic properties of operations on signals,  Accumulator, Sinusoidal primitives, Representing systems, Feedforward systems, Combinations of systems, Feedback Systems.
• General form of LTI systems, Primitive systems, System functions, Combining system functions, Predicting system behavior, First-order and Second-order systems ,Higher-order systems, Circuits ,Designing systems, Finding poles, Superposition, Summary of system behavior, Specifying difference equations, Difference equations and block diagrams, Wall finder, Cool difference equations, Modeling, SM to DE, On the Verge, Cooking, Pole Position, System functions.
• Electrical circuits, Conservation laws, Kirchoff’s current law, Kirchoff’s Voltage Law, Circuit elements, Solving circuits, NVCC Method, Solution strategy, Node method, Common Patterns, Circuit Equivalents, Norton Equivalents, Op Amps, Voltage-controlled voltage sources, Simplified model, Op-amps and feedback, Probabilistic State Estimation, State spaces, Probability distributions on atomic state spaces, Random variables, Python representations of distributions, Operations on random variables, Constructing a joint distribution, Marginalization, Conditioning, Bayesian reasoning, Total probability, Python operations on distributions.
• Modeling with distributions, Primitives, Mixture distribution, Stochastic state machines, Copy machine, Representation in Python, State estimation, Our first and Our second copy, General state estimation, Python, Long-term decision-making and search, State-space search, Representing search trees, Basic search algorithm, Basic pruning, Stacks and Queues, Depth-First Search, Breadth-First Search, Dynamic programming, Configurable search code, Connection to state machines, Numeric search domain, Computational complexity, Uniform cost search, Connection to state machines, Search with heuristics.
• Circuit analysis, phasor diagrams, single-phase and three-phase power, semiconductor devices, and applications, energy conversion devices
• Random signals and events in electrical engineering, probability, discrete and continuous random variables, joint random variables, Application of probabilistic models, engineering, data analysis, point estimation using computer-aided engineering tools.