This course introduces students to the underlying building blocks of digital system and microcontroller design. Digital systems topics that are covered include: number systems, truth tables, Boolean algebra, combinational and sequential logic, and finite state machines. A microcontroller is used to teach register programming, reading and writing digital I/O, bitwise operations and bit-masking and microprocessor architecture. Laboratory exercises are designed to illustrate concepts, reinforce analysis and design skills, and develop instrumentation techniques associated with the lecture topics.

This course covers the design and simulation of digital circuits using modern digital design techniques. Using a hardware description language, students will design, synthesize, and analyze finite state machines and combinational, sequential, and arithmetic logic circuits. Topics will include design for synthesis, verification techniques, memory circuits, programmable logic devices, and implementation technologies. The laboratories are designed to illustrate concepts, reinforce analysis and design skills, and develop instrumentation techniques associated with the lecture topics.

Develops the knowledge and ability to process signals using Digital Signal Processing (DSP) techniques. Starts with foundational concepts in sampling, probability, statistics, noise, fixed and floating point number systems, and describes how they affect real world performance of DSP systems. Fundamental principles of convolution, linearity, duality, impulse responses, and discrete fourier transforms are used to develop FIR and IIR digital filters and to explain DSP techniques such as windowing. Students get an integrated lab experience writing DSP code that executes in real-time on DSP hardware.