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An introduction to basic concepts useful for all areas of Electrical and Computer Engineering. Focus on hands-on, team-based activities using robotics.
Used for courses under development or courses being offered only one time.
Last digit indicates number of credit hours.
Speakers with diverse backgrounds and representing many different
industries, professions, and institutions describe their experiences,
entrepreneurial ventures, and research challenges.
Speakers with diverse backgrounds and representing many different
industries, professions, and institutions describe their experiences,
entrepreneurial ventures, and research challenges.
Speakers with diverse backgrounds and representing many different
industries, professions, and institutions describe their experiences,
entrepreneurial ventures, and research challenges.
Computer system and digital design principles. Switch and gate design, Boolean algebra, number systems, arithmetic, storage elements. Datapath, memory organization. Instruction set architecture, assembly language.
Introduction to discrete-time signal processing and linear systems. Sampling theorem. Filtering. Frequency response. Discrete Fourier Transform. Z Transform. Laboratory emphasizes computer-based signal processing.
Design and implementation of digital systems, including a team design project. CAD tools, project design methodologies, logic synthesis, and assembly language programming.
Creation of complex execution and storage mechanisms, based on instruction set architecture, for software design including high-level programming languages and operating systems. Programming design projects.
Object-oriented software methods for engineering applications. Numerical analysis methods; simulations and graphical presentation of simulation results; analysis of numerical precision. Programming projects.
This course teaches practical skills, such as soldering and prototyping, and introduces students to ECE design.
The second offering of an Honors Program course that provides a creative experience for Honors students and also provides a direct course substitution for ECE2031.
This course teaches practical skills, such as soldering and laying out printed circuit boards, for students to be able to design and build their own applications.
Used for courses under development or courses being offered only one time.
Last digit indicates number of credit hours.
Written, oral, and visual communication skills required by electrical and computer engineers. Prepares students for advanced communication tasks required in academic and professional settings.
Basic principles governing the physical realization of computing systems and their relationship to characteristics such as performance, energy, and robustness. Implementation technologies.
Theory and experiments related to the design, analysis, construction, and measurement of elementary passive and active analog circuits using both discrete and integrated devices.
Basic organizational principles of the major components of a processor, e.g., the core, memory hierarchy, I/O subsystem and basic operating system constructs that utilize them.
Non-renewable and renewable/sustainable energy sources. Processes, costs, and environmental impact of conversion into electric energy. Delivery and control of electric energy, electromechanical systems.
Introduction to probability, random variables, distributions, estimation, confidence intervals, linear regression and other tools for describing and managing uncertainty in electrical and computer engineering.
Continuous-time linear systems and signals, their mathematical representations, and computational tools; Fourier and Laplace transforms, convolutions, input-output responses, stability.
Advanced digital design issues in the context of VLSI systems. Introduction to a design methodology that encompasses the range from architectural models to circuit simulation.
Introduction to cryptography and authentication from a hardware-centric perspective. Historic ciphers, symmetric and asymmetric encryption, and power analysis attacks are taught from a digital and VLSI design perspective.
An introduction to the fundamentals of optimization with a focus on algorithms and applications in signal processing, control systems, machine learning, and robotics.
Introduction to three phase power systems, electromechanical energy conversion and operating principles of electric machines.
Analysis and design of electronic circuits and systems. Biasing, small-signal analysis, frequency response, feedback amplifiers, active filters, non-linear op-amp applications, and oscillators.
Properties of semiconductor devices. Applications in current and future computers, fiber optic and wireless communication systems. Future needs of high frequency, GHz-range, device operation.
Analysis and design of control systems. Laplace transforms, transfer functions, and stability. Feedback systems: tracking and disturbance rejection. Graphical design techniques.