This course develops student skills to analyze and design DC and AC circuits. DC topics include resistance; Ohm’s Law; current and voltage division; simplification of series, parallel, and series-parallel circuits; Kirchhoff’s Voltage and Kirchhoff’s Current Laws, and nodal analysis. Additional circuit analysis concepts covered include Thevenin theorem, superposition theorem, and R-C and R-L transient analysis. AC circuit analysis topics include sinusoidal waveforms as forcing functions; basic resistive, capacitive, and inductive elements; phasors; average power and series AC circuit analysis. Reactance and impedance are introduced and used to solve AC series circuits.

This laboratory develops skills and practice in the construction, measurement, and analysis of DC and introductory AC circuits. Standard laboratory equipment is introduced and utilized to measure resistance, voltage, and current in basic and relatively complex circuit configurations. Measurements are employed to demonstrate Ohm's Law, Kirchoff’s Voltage Law, Kirchoff’s Current Law, current division, and voltage division. Circuit simulation software is used to support calculations and establish a baseline for comparison. Students collaborate within teams during the laboratory experience.

This course develops the skills to analyze and design AC circuits used in electrical systems. Topics include R-L and R-C transient analysis in relation to the differential equation; reactance and impedance; series, parallel, and series-parallel R-L-C circuits; mesh and nodal analysis. Additional circuit analysis concepts covered include Norton, Maximum Power Transfer, and Superposition theorems. AC power and power factor, resonance, frequency response, and bandwidth are also covered. Transformers are introduced.

This laboratory develops skills and practice in the construction, measurement, and analysis of AC circuits. The function generator and oscilloscope are used to measure resistance, voltage and current in a variety of circuit configurations. Measurements are employed extensively to verify Ohm's Law; Kirchhoff’s Voltage and Kirchhoff’s Current Laws and to demonstrate current and voltage division. Circuit simulation software is used throughout to support calculations and establish a baseline for comparison. Students collaborate within teams to research technology areas of curiosity, observe trends about the changing world and inform their peers via verbal presentations.

This hands-on, project-based course introduces students to the foundations of problem solving through the exploration of societal challenges such as the UN Sustainable Development Goals with an emphasis on the pursuit of making the world a better place. Working in collaborative teams, students engage in the problem-solving cycle, from problem definition and research to model-building, testing, and implementation, with the objective of improving conditions for humankind. Guided by faculty, students will apply mathematics, problem-solving strategies, and computational tools to design and analyze solutions to open-ended societal problems. Through collaborative, active learning, students gain experience with problem-solving strategies, teamwork dynamics, communication, and ethical reasoning. Emphasis is placed on the application of mathematics as a language for problem-solving and the integration of computational tools for data analysis and visualization. During this course, students will apply problem-solving techniques, work collaboratively in teams, analyze data, and communicate results in a professional manner.

Graduate-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

Graduate-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for a graduate-level student.

Thesis is based on thorough literature review and experimental substantiation of a problem, by the candidate, in an appropriate topic. A written proposal has to be defended and authorized by the faculty adviser/committee. The proposal defense is followed by experimental work, a formal written thesis, and oral presentation of findings. The candidate should have completed the requisite courses for the program before enrolling for the thesis.