402 413 455 485 cs homework
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Electrical and Computer Engineering
EECS Thriving in a Digital World Prerequisite: none. From mobile apps to bitmaps, this course explores computational technologies and how they impact society and our everyday lives.
Topics include: social networks, creative computing, algorithms, security and digital privacy. Traditional computer programming is not a primary focus. Instead, mobile applications will be created using a novel visual programming environment. Credit for college-level introductory programming coursework based on a satisfactory score on an approved exam e.
Indicates preparedness to proceed to EECS Elementary Programming Concepts Prerequisite: none. Flow of control: selection, iteration, subprograms.
Data structures: strings, arrays, records, lists, tables. Good program design, structure and style are emphasized.
Testing and debugging. Lecture, seminar, or laboratory. Apply electrical engineering concepts in circuits, computing, control, sensors, optics, power, signal processing, and wireless communications to a system such as a robot, and adapt the system to achieve competition objectives within defined engineering constraints.
Discrete Mathematics Prerequisite: MATH or or or or or or or or or or or or or or or or or or or or or Minimum grade of C required for enforced prerequisites. Topics covered include: propositional and predicate logic, set theory, function and relations, growth of functions and asymptotic notation, introduction to algorithms, elementary combinatorics and graph theory and discrete probability theory.
Time- and frequency-domain analysis of RLC circuits. Basic passive and active electronic filters. Laboratory experience with electrical signals and circuits. Theory and practice of signals and systems engineering in continuous and discrete time. Continuous-time linear time-invariant systems, impulse response, convolution.
Fourier series, Fourier transforms, spectrum, frequency response and filtering. Sampling leading to basic digital signal processing using the discrete-time Fourier and the discrete Fourier transform. Laplace transforms, transfer functions, poles and zeros, stability. Applications of Laplace transform theory to RLC circuit analysis. Introduction to communications, control and signal processing.
Vector calculus. Traveling waves and phasors. Uniform plane waves. Reflection and transmission at normal incidence. Transmission lines. Laboratory segment may include experiments with transmission lines, the use of computer-simulation exercises, and classroom demonstrations.
Introduction to properties and behavior of electromagnetic energy as it pertains to naval applications of communication, radar, and electro-optics. Additional topics include sound navigation and ranging SONAR , tracking and guidance systems, and computer-controlled systems. Boolean algebra, digital design techniques, logic gates, logic and state minimization, standard combinational circuits, latches and flip-flops, sequential circuits, synthesis of synchronous sequential circuits, state machines, FPGAs, memories, arithmetic circuits, and computer-aided design.
I, VI, and AUD ] Algorithm development and effective programming, top-down analysis, structured programming, testing and program correctness. Program language syntax and static and runtime semantics. Scope, procedure instantiation, recursion, abstract data types and parameter passing methods. Structured data types, pointers, linked data structures, stacks, queues, arrays, records and trees. Minimum GPA of 2. Several programming assignments.
Topics include: Java syntax and semantics, object-oriented design, exception handling, graphical user interfaces, mobile-application development, asynchronous programming, and unit testing. Integration of electrical engineering foundational concepts to address system-level objectives. Semester-long, open-ended design based on a societally-relevant challenge. Technical topics include embedded systems fundamentals, sensing, power and energy tradeoffs, and addressing realistic constraints of project requirements.
Random variables: discrete, continuous and conditional probability distributions; averages; independence. Statistical inference: hypothesis testing and estimation. Introduction to discrete and continuous random processes. Design projects. Lecture and laboratory. Design of digital circuits, including static CMOS, ratioed, dynamic, and pass-transistor logic. Memory structures, including static and dynamic RAM; sequential elements; and interconnects.
Analysis of circuit delay, power, and noise margins. Use of circuit simulation in analysis and design. Design project s. Not open to CE or EE students. Students will learn about electrical systems operation, specifications and interactions with other modules. Theory will be motivated by the use of examples taken from a variety of fields. Topics covered include circuit fundamentals, frequency response and transients, analog and digital electronics.
In lab, students will build and analyze circuits including amplifiers, filters and temperature controllers. Equilibrium statistics of electrons and holes.
Carrier dynamics; continuity, drift and diffusion currents; generation and recombination processes, including important optical processes. The course covers wave reflection and transmission, dipoles, arrays, horn and patch antennas, waveguides, microstrip lines, resonators, and their applications in communication and radar systems. Introduction to advanced electromagnetics, communication systems, sensor systems, remote sensing and global navigation systems.
Overview of modern optics with laboratory demonstrations. Minimum grade of C for enforced prerequisites. Sampling and reconstruction, difference equations, convolution, stability, z-transform, transfer function, frequency response, FIR and IIR, DTFT, DFT, FFT, windows, spectrogram, computer-aided filter design, correlation, multirate, basic image processing, discretetime wavelets, filter banks.
Applications: filtering, denoising, deconvolution, classification, others. Programming projects and lectures cover 3D coordinate systems, axis-angle rotation, forward and inverse kinematics, physical simulation and numerical integration, motion control, path planning, high-dimensional motion planning, and robot software systems.
Emphasizes portable programming of general robots. Instructions executed by a processor and how to use these instructions in simple assembly-language programs. Stored-program concept. Datapath and control for multiple implementations of a processor.
Principles of designing application-specific computer systems that interact with the physical world. Substantial student-defined team design project. Introduction to theory of computation. Models of computation: finite state machines, Turing machines. Decidable and undecidable problems. Polynomial time computability and paradigms of algorithm design.
Coping with intractability. Encapsulation, automatic memory management, exceptions, generic programming with templates and function objects, Standard Library algorithms and containers. Using single and multiple inheritance and polymorphism for code reuse and extensibility; basic design idioms, patterns, and notation. Advisory: EECS It covers the foundations of building, using and managing secure systems. Topics include standard cryptographic functions and protocols, threats and defenses for real-world systems, incident response and computer forensics.
There will be homework exercises, programming projects and a final exam. Special Topics Advised prerequisite: permission of instructor. Presents concepts and hands-on experience for designing and writing programs using one or more programming languages currently important in solving real-world problems. Intended for senior undergraduates and graduate students in science or engineering fields. High-Tech Entrepreneurship Prerequisite: None.
Also, student groups work on reviewing business books, case studies, elevator and investor pitches. Data Science Seminar Prerequisite: None. These thought leaders are invited from academia, industry and government. A satisfactory grade is obtained in this course by regular attendance at the weekly seminar. The first part of the course focuses on the rules and codes that govern patent prosecution, and the second part focuses on claim drafting and amendment writing.
Other topics covered include litigation, ethics and licensing. Design, fabrication and measurements GHz of microwave-integrated circuits using CAD tools and network analyzers.
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The department of electrical and computer engineering ECE offers undergraduate and graduate programs of study along with supporting research for students interested in the field of electrical engineering. It also jointly supports undergraduate and graduate programs in computer engineering with the computer science and engineering CSE department. Graduate study leads to the degrees, master of science, master of engineering, and doctor of philosophy in electrical engineering, and the master of science and doctor of philosophy in computer engineering. The undergraduate programs emphasize the fundamental aspects of their respective areas.
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402 413 455 485 cs homework
EECS Thriving in a Digital World Prerequisite: none. From mobile apps to bitmaps, this course explores computational technologies and how they impact society and our everyday lives. Topics include: social networks, creative computing, algorithms, security and digital privacy. Traditional computer programming is not a primary focus.
