daoli’s Profile

Student
active 4 years, 6 months ago
daoli
Major Program of Study
Electrical and Telecommunications Engineering Technology

My Courses

EET 3120 Sensors and Instruments

EET 3120 Sensors and Instruments

An introduction to the world of electrical and optical sensors with applications in bioengineering, environmental remote sensing fields and many more. The topics cover description of sensor performance, temperature sensors, light sensors, force sensors, displacement sensors, motion sensors, environmental sensors, sound sensors, chemical sensors, sensor interfacing, instrumentation techniques and switching mechanisms. The lab component of this course introduced sensors control using NI LabView software and NI ELVIS hardware

ECON2505 Env Econ, SP2016 Mon. D727

ECON2505 Env Econ, SP2016 Mon. D727

This interdisciplinary course examines current environmental issues from a macroeconomic perspective, focusing on both the long and short-term economic viability of various proposals to address current environmental challenges. While the discipline of Economics serves as a central focus, the course draws extensively from the perspectives of Sociology, Architectural Technology, Environmental Control Technology, Hospitality Management (sustainable tourism), and Sustainable Technology. Traditional goals of economic efficiency will be examined in the context of the need to expand renewable energy sources, green building design and construction, sustainable agriculture and trade, resource allocation and other efforts to combat climate change on a global scale. It focuses on both the long and short-term economic viability of various proposals to address current environmental challenges drawing upon the inherent interdisciplinary connection to these vital economic issues.

MAT2572ProbW/Stat, FA2015

MAT2572ProbW/Stat, FA2015

Topics for the course include sample spaces and probabilities, discrete distributions (Binomial, Negative Binomial, Geometric, Hypergeometric, Poisson, and Gamma), continuous distributions (Uniform, Normal, Chi-squared), expectation and variance, hypothesis testing, interval estimation and confidence intervals. There will be extensive use of MS Excel and R, a statistical software program. At the end of the course, students should be able make meaningful connections between statistics and other areas of study, including and social sciences.

ENG3771-E348-Corbett-Summer-1

ENG3771-E348-Corbett-Summer-1

Advanced Career Writing – Summer Session I – 2015

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