Circuit II is an electrical engineering course focused on the analysis of AC circuits and system behavior in the frequency and Laplace domains. Key topics include phasor analysis for sinusoidal steady-state response, complex power calculations (real, reactive, and apparent power), and power factor correction in AC systems. The course introduces Laplace transforms as a powerful tool for solving linear circuits with initial conditions and for analyzing circuit behavior in the s-domain. Students gain practical experience through simulations and lab activities that reinforce concepts such as frequency response, resonance, and transient analysis using real-world circuit components.
Digital Electronics introduces students to the foundational concepts of digital logic and circuit design. The course covers binary systems, Boolean algebra, and the design and analysis of combinational and sequential circuits, including logic gates, multiplexers, decoders, flip-flops, counters, and simple state machines. Students gain hands-on experience through breadboarding and circuit simulation tools to build and test real digital systems. The course also includes an introduction to Verilog, a hardware description language (HDL), to model and simulate digital circuits. This exposure helps students bridge the gap between traditional logic design and modern digital system development.
Add a This course explores the operation and application of semiconductor devices, including diodes, BJTs, and MOSFETs. Students will analyze and design analog circuits such as amplifiers and current mirrors, with an emphasis on small-signal models and frequency response. Hands-on labs and simulations reinforce theoretical concepts and prepare students for advanced electronics coursework. short description.
Students gain first-hand experience with design and fabrication as a foundation of engineering. Using technologies such as additive manufacturing (eg. 3D printing), embedded systems and software, and electronics, students will work together to develop innovative solutions to interesting problems. L
Students are introduced to problem-solving methods and algorithm development through an interactive and easy-to-learn programming language, Python.
Chapman University
Dale E. and Sarah Ann Fowler School of Engineering Chapman University Swenson Hall of Engineering, Room 325
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