The concepts of linear system theory (e.g., Signals and Systems) are fundamental to all areas of engineering, including the transmission of radio signals, signal processing techniques (e.g., medical imaging, speech recognition, etc.), and the design of feedback systems (e.g., in automobiles, power plants, etc.). This course will introduce the basic concepts of linear system theory, including convolution, continuous and discrete time Fourier analysis, Laplace and Z transforms, sampling, stability, feedback, control, and modulation.

The concepts of linear system theory (e.g., Signals and Systems) are fundamental to all areas of engineering, including the transmission of radio signals, signal processing techniques (e.g., medical imaging, speech recognition, etc.), and the design of feedback systems (e.g., in automobiles, power plants, etc.). This course will introduce the basic concepts of linear system theory, including convolution, continuous and discrete time Fourier analysis, Laplace and Z transforms, sampling, stability, feedback, control, and modulation.

The concepts of linear system theory (e.g., Signals and Systems) are fundamental to all areas of engineering, including the transmission of radio signals, signal processing techniques (e.g., medical imaging, speech recognition, etc.), and the design of feedback systems (e.g., in automobiles, power plants, etc.). This course will introduce the basic concepts of linear system theory, including convolution, continuous and discrete time Fourier analysis, Laplace and Z transforms, sampling, stability, feedback, control, and modulation.

Analog and digital circuits are the building blocks of computers, medical technologies, and all things electrical. This course introduces both the fundamental principles necessary to understand how circuits work and mathematical tools that have widespread applications in areas throughout engineering and science. Topics include: Kirchhoff's laws, Thevenin and Norton equivalents, superposition, responses of first-order and second-order networks, time-domain and frequency-domain analyses, frequency-selective networks.

Analog and digital circuits are the building blocks of computers, medical technologies, and all things electrical. This course introduces both the fundamental principles necessary to understand how circuits work and mathematical tools that have widespread applications in areas throughout engineering and science. Topics include: Kirchhoff's laws, Thevenin and Norton equivalents, superposition, responses of first-order and second-order networks, time-domain and frequency-domain analyses, frequency-selective networks.

Analog and digital circuits are the building blocks of computers, medical technologies, and all things electrical. This course introduces both the fundamental principles necessary to understand how circuits work and mathematical tools that have widespread applications in areas throughout engineering and science. Topics include: Kirchhoff's laws, Thevenin and Norton equivalents, superposition, responses of first-order and second-order networks, time-domain and frequency-domain analyses, frequency-selective networks.

(Formerly EGR 260) The design and analysis of engineered or natural systems and processes relies on a command of fundamental scientific and engineering principles. This course provides an introduction to these fundamental underpinnings through a study of the conservation of mass, energy and charge in both steady and transient conditions with non-reactive systems. Specific topics covered will include a review of process variables and their relationships, open and closed systems, differential and integral balances, and basic thermodynamics. Prerequisites: MTH 112 or 114 (may be concurrent).

(Formerly EGR 260) The design and analysis of engineered or natural systems and processes relies on a command of fundamental scientific and engineering principles. This course provides an introduction to these fundamental underpinnings through a study of the conservation of mass, energy and charge in both steady and transient conditions with non-reactive systems. Specific topics covered will include a review of process variables and their relationships, open and closed systems, differential and integral balances, and basic thermodynamics. Prerequisites: MTH 112 or 114 (may be concurrent).

(Formerly EGR 260) The design and analysis of engineered or natural systems and processes relies on a command of fundamental scientific and engineering principles. This course provides an introduction to these fundamental underpinnings through a study of the conservation of mass, energy and charge in both steady and transient conditions with non-reactive systems. Specific topics covered will include a review of process variables and their relationships, open and closed systems, differential and integral balances, and basic thermodynamics. Prerequisites: MTH 112 or 114 (may be concurrent).

(Formerly EGR 260) The design and analysis of engineered or natural systems and processes relies on a command of fundamental scientific and engineering principles. This course provides an introduction to these fundamental underpinnings through a study of the conservation of mass, energy and charge in both steady and transient conditions with non-reactive systems. Specific topics covered will include a review of process variables and their relationships, open and closed systems, differential and integral balances, and basic thermodynamics. Prerequisites: MTH 112 or 114 (may be concurrent).