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This blog is designed for students in Advanced Career Writing taught by Jennifer Sears. The aim of this blog is to present issues specific to writing techniques specific to online writing, such as tone and style, using research and visual aids, and creating verbally dynamic content. A separate page indicates assignments for students in the class. Questions? Contact: jsears@citytech.cuny.edu

This blog is designed for students in Advanced Career Writing taught by Jennifer Sears. The aim of this blog is to present issues specific to writing techniques specific to online writing, such as tone and style, using research and visual aids, and creating verbally dynamic content. A separate page indicates assignments for students in the class. Questions? Contact: jsears@citytech.cuny.edu

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

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

Technical Writing

Technical Writing

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.

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.

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.

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.