Digital Systems and Applications (Computer Engineering Series)

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An introduction to discrete-time signal processing applied to audio, images, and video. Topics include phasor representation of sinusoidal signals, complex arithmetic, sampling, signal spectra, linear time-invariant systems, frequency response, convolution, filter implementation, and MATLAB programming. Integral laboratory. A review of the definition of voltage, current, energy and power.

An integral laboratory to build electric circuits and measure voltage, current, resistance and power.

Capacitance, Self and Mutual Inductance. Root-mean-square values of waveforms. Application of phasors to sinusoidal steady-state. Impedance of circuit elements. Mesh and Nodal Analysis applied to ac circuits. Thevenin and Norton theorems applied to ac circuits.

Undergraduate Courses

Single-phase ac power. Power factor correction. Voltage regulation and efficiency of feeders. Balanced three-phase systems. Ideal and non-ideal transformer models. Introduction to 1st and 2nd order circuits and review of differential equations. Bode plots. System classification, impulse and step response, convolution. Laplace and inverse Laplace transforms, block and signal flow diagrams. Benefits of feedback. Modeling and simulating electrical systems.

Matlab and Simulink. A course designed for engineers other than electrical or computer covering analysis of passive circuits, introduction to op-amps, instrumentation, sinusoidal steady-state, a-c power, and induction motors. EE and CPE majors may not take this course. Sensors and actuators. Input and output devices. Microcontroller architecture. Standard communications protocols. Interrupt generation and processing. Data representation and storage. Memory management. The C programming language and programming styles. Integral laboratory and a term project.

Number systems, Binary arithmetic, logic gates, forming logic circuits. Boolean algebra, Karnaugh maps.

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Courses | Texas ECE

Propagation delay, hazards, common Combinational logic circuits, structures, and design. Contraction, latches, flip-flops, finite state machines, counters, Sequential circuit timing, and designing Sequential circuits. Register design, control and datapath design. Basic computer architecture, including memory. Modeling, analysis, and simulation of electronic circuits that contain two-terminal and threeterminal semiconductor devices. Large-signal, biasing, and small-signal analysis models. Introduction to wave shaping circuits, switching circuits, and amplifiers.

Signal modeling. Fourier series and Fourier transforms.


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Response of systems to periodic and aperiodic signals. Filter characterization and design.

The computer engineering handbook. / Digital systems and applications

Ideal and practical sampling. Use of numerical analysis software. Transmission of information over bandlimited, noisy communication channels. Line codes, probability of error, intersymbol interference. Modulation techniques, synchronization and frequency conversion. Layered architectures. Circuit and packet switching. Point-to-point protocols, error control, framing. Accessing shared media, local area networks.

Virtual circuits, datagrams, routing, congestion control. Queuing theory.


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Reliable message transport, internetworking. Analysis of linear control systems using classical and modern control theories in both continuous and discrete time. Plant representation, closed loop system representation, time response, frequency response, concept of stability. Root locus, Bode, and Nyquist methods. Computer modeling and simulation of feedback systems, implementation of discrete-time algorithims on microcontrollers. Instruction-Level Parallelism. Data Hazards. Branch Prediction. Multilength Instructions.

Loop Unrolling.

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MSP Microcontroller. PIC Microcontroller.


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Intel Itanium. Hardware Multithreading. Graphics Processors. Static and dynamic fields. Electric and magnetic properties of materials. Energy, force and power. Resistors, capacitors, and inductors. Application in sensing and actuation. Introduction to electromagnetic waves.

Use of vector calculus and numeric approximation.