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Course Criteria
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3.00 Credits
An overview of engineering as practice, profession, and philosophy. The dominance of heuristics in engineering problem solving. The role of failure in design evolution. The central role of written and graphical communication in artifact design. The role of algorithms, control structures, and flow charts in process design. Team design experiences through a series of competitions in autonomous robotics. Engineering ethics and the NSPE code. Intellectual property. Course is usually offered as an ethics focused course. Prerequisite: MATH 138 or MATH 231, or enrollment therein.
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3.00 Credits
Special Topics
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3.00 Credits
This course provides practical experience in using logic gates for counting, timing, Boolean, and arithmetic functions in a digital computation. The course begins with individual gate circuits and applications and then introduces integrated circuits to the medium scale level of integration. Techniques for digital control of actuators, amplifying signals, conversion to digital input, and conversion of digital values to analog input are discussed. (Also offered as CSCI 381 or PHYS 381.) Prerequisite: MATH 231 or MATH 136.
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3.00 Credits
Analysis of DC and AC circuits and systems. Phasors and the time-varying response of lumped circuits. Application of math transforms to circuit analysis. Diodes and transformers. Amplification using operational amps. Digital sampling of analog signals. The laboratory introduces digital acquisition techniques and LABViewTM virtual instrumentation software. Prerequisite: MATH 232 and PHYS 241. (Also offered as PHYS 383.)
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3.00 Credits
Algebraic, differential, and integral calculations with discretely sampled data. Desktop engineering calculations using MATLABtm . Functions and common programming elements. Graphs and histograms. Curve fitting and use of residuals. Modeling noisy measurements: random functions, and Monte Carlo calculation. Pre-processing of digital datasets: handling missing data and exceptions, interpolation, moving average smoothing, and trend removal. Storage and retrieval of common data formats. Prerequisite: MATH 232 and PHYS 241. (Also offered as PHYS 390.)
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3.00 Credits
Introduction to digital signal processing: FFT, correlation, convolution, and filters. Modeling the time evolution of physical systems using differential equations with an introduction to SIMULINKTM. Data visualization with contouring and 2-D imaging. Prerequisite: ENGR 390 and MATH 333. (Also offered as PHYS 391.)
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3.00 Credits
Advanced topics in mechanics: solid body rotations, chaos, and normal modes of oscillation. An introduction to transport phenomena: fluid dynamics, heat flow, and diffusion. Prerequisite: PHYS 331, ENGR 390, and Math 334, or enrollment therein. (Also offered as PHYS 392.)
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4.00 Credits
This course serves as an introduction to the disciplines and methods involved in environmental research from a natural science perspective. Topics may include ecology, watershed studies, biodiversity, native plants, ecological restoration, and global change. Laboratories will provide opportunities to gather and analyze ecological data, to learn techniques, and to use specialized equipment. Biology and chemistry majors may not count this course towards the minor and must take BIO 347 or CHEM 432.
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1.00 Credits
An oral and written presentation by the student that summarizes the results of independent research or internship experiences.
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3.00 Credits
Designed to provide environmental science/studies minors opportunities to work in government agencies, private industry, and other areas related to the environmental field.
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