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In ENG2570, we will hone writing skills that are often used in the workplace. Through eight units of study, we will create various deliverables (business letters, memos, minutes, process papers, and reports) and think through how best to harness the power of word choice, tone, approach, revision, and follow-through. • unit 1: annotation, MLA citation, best practices • unit 2: organization • unit 3: revision • unit 4: audience and purpose • unit 5: process project • unit 6: reports • unit 7: meetings and collaboration • unit 8: reflection and presentation Units 2-4 and 6-7 will require the preparation of short response papers that reflect an understanding of one or more of the deliverables named above. Unit 5 will culminate in the creation of a process project, and unit 8 will result in self-reflection and a brief presentation.

In ENG2570, we will hone writing skills that are often used in the workplace. Through eight units of study, we will create various deliverables (business letters, memos, minutes, process papers, and reports) and think through how best to harness the power of word choice, tone, approach, revision, and follow-through. • unit 1: annotation, MLA citation, best practices • unit 2: organization • unit 3: revision • unit 4: audience and purpose • unit 5: process project • unit 6: reports • unit 7: meetings and collaboration • unit 8: reflection and presentation Units 2-4 and 6-7 will require the preparation of short response papers that reflect an understanding of one or more of the deliverables named above. Unit 5 will culminate in the creation of a process project, and unit 8 will result in self-reflection and a brief presentation.

In this course students will study discrete and continuous probability distributions including the Binomial, Poisson, Hypergeometric, Exponential, Chi-squared, and Normal distributions. Topics include conditional distributions, confidence intervals, chi-square goodness of fit distribution, tests for independence and randomness, and an application to queuing theory.

In this course students will study discrete and continuous probability distributions including the Binomial, Poisson, Hypergeometric, Exponential, Chi-squared, and Normal distributions. Topics include conditional distributions, confidence intervals, chi-square goodness of fit distribution, tests for independence and randomness, and an application to queuing theory.