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Technical Writing is about managing complexity. It is about providing the right information, in the right way, for the right audience, at the right time. It is about communicating technical ideas using sound rhetorical choices and synergistic modalities (e.g., WOVEN, or written, oral, visual, electronic, and nonverbal) while maintaining the highest level of professionalism and ethics. In this class, you will have invaluable opportunities to learn the theory, skills, and heuristics of technical writing through projects relevant to your degree program, and you will develop a set of documents that you can include in your professional portfolio.

Technical Writing is about managing complexity. It is about providing the right information, in the right way, for the right audience, at the right time. It is about communicating technical ideas using sound rhetorical choices and synergistic modalities (e.g., WOVEN, or written, oral, visual, electronic, and nonverbal) while maintaining the highest level of professionalism and ethics. In this class, you will have invaluable opportunities to learn the theory, skills, and heuristics of technical writing through projects relevant to your degree program, and you will develop a set of documents that you can include in your professional portfolio.

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of MS Excel and/or R.

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of MS Excel and/or R.