General Education Courses

Course Description: Proposal Writing focuses on the elements of proposal responses and practicing creating those elements. Students learn the process of evaluating and responding to RFIs and RFPs with concentration on making bid decisions, organizing teams, identifying strategies, establishing credibility, ensuring technical clarity, and writing persuasively. Topics include the proposal process that is practiced by government, industry, and grant-funding agencies. Co-listed with TCOM-621.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Proposal Writing focuses on the elements of proposal responses and practicing creating those elements. Students learn the process of evaluating and responding to RFIs and RFPs with concentration on making bid decisions, organizing teams, identifying strategies, establishing credibility, ensuring technical clarity, and writing persuasively. Topics include the proposal process that is practiced by government, industry, and grant-funding agencies. Co-listed with TCOM-621.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course will explore how the comics medium has figured into the history of modern and contemporary art, visual culture, and literary culture. Students will explore how cartooning, drawing, and printmaking in the 19th century led to the development of early comics and the newspaper comic strip, how early 20th century comics fit into the modernist avant-garde, how postwar artists began to use the comics medium as both source material and as a medium unto itself, how comics have been incorporated into contemporary art museums and galleries, and how contemporary comics artists engage with abstraction, medium specificity, seriality, and the archive. The course will draw from an interdisciplinary range of methodologies, from art history and visual culture to literary studies and museum studies.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course will explore how the comics medium has figured into the history of modern and contemporary art, visual culture, and literary culture. Students will explore how cartooning, drawing, and printmaking in the 19th century led to the development of early comics and the newspaper comic strip, how early 20th century comics fit into the modernist avant-garde, how postwar artists began to use the comics medium as both source material and as a medium unto itself, how comics have been incorporated into contemporary art museums and galleries, and how contemporary comics artists engage with abstraction, medium specificity, seriality, and the archive. The course will draw from an interdisciplinary range of methodologies, from art history and visual culture to literary studies and museum studies.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Course introduces students to the writing process for describing scientific and technological subject matter for presentation to general audiences. Students will learn to gather needed source material and organize, write and edit articles that cover developments in the scientific and technological communities. Various article formats used in professional, in-house, trade, and popular publications are presented. *Note: This course is cross-listed with TCOM-614. Students cannot receive credit for both 544 and 614.*

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Course introduces students to the writing process for describing scientific and technological subject matter for presentation to general audiences. Students will learn to gather needed source material and organize, write and edit articles that cover developments in the scientific and technological communities. Various article formats used in professional, in-house, trade, and popular publications are presented. *Note: This course is cross-listed with TCOM-614. Students cannot receive credit for both 544 and 614.*

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course introduces statistical methods of extracting meaning from data, and basic inferential statistics. Topics covered include data and data integrity, exploratory data analysis, data visualization, numeric summary measures, the normal distribution, sampling distributions, confidence intervals, and hypothesis testing. The emphasis of the course is on statistical thinking rather than computation. Statistical software is used.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course introduces statistical methods of extracting meaning from data, and basic inferential statistics. Topics covered include data and data integrity, exploratory data analysis, data visualization, numeric summary measures, the normal distribution, sampling distributions, confidence intervals, and hypothesis testing. The emphasis of the course is on statistical thinking rather than computation. Statistical software is used.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course provides an enriched learning environment for RIT Honors Students with a project-based, lab-oriented approach to learning statistics. Students will learn to formulate research problems in statistical terms, design a statistical model to study these problem, collect data, summarize data, draw inferences in the context of the applications, and present their analyses. Students learn the use of the statistical software package Minitab to aid in the analysis of data. Students will be expected to participate in class discussions. This course may not be taken for credit if credit is to be earned in COS-STAT-205.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course provides an enriched learning environment for RIT Honors Students with a project-based, lab-oriented approach to learning statistics. Students will learn to formulate research problems in statistical terms, design a statistical model to study these problem, collect data, summarize data, draw inferences in the context of the applications, and present their analyses. Students learn the use of the statistical software package Minitab to aid in the analysis of data. Students will be expected to participate in class discussions. This course may not be taken for credit if credit is to be earned in COS-STAT-205.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is an elementary introduction to the topics of regression and analysis of variance. The statistical software package Minitab will be used to reinforce these techniques. The focus of this course is on business applications. This is a general introductory statistics course and is intended for a broad range of programs.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is an elementary introduction to the topics of regression and analysis of variance. The statistical software package Minitab will be used to reinforce these techniques. The focus of this course is on business applications. This is a general introductory statistics course and is intended for a broad range of programs.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course covers basic statistical concepts and techniques including descriptive statistics, probability, inference, and quality control. The statistical package Minitab will be used to reinforce these techniques. The focus of this course is on statistical applications and quality improvement in engineering. This course is intended for engineering programs and has a calculus prerequisite. Note: This course may not be taken for credit if credit is to be earned in STAT-145 or STAT-155 or MATH 252..

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course covers basic statistical concepts and techniques including descriptive statistics, probability, inference, and quality control. The statistical package Minitab will be used to reinforce these techniques. The focus of this course is on statistical applications and quality improvement in engineering. This course is intended for engineering programs and has a calculus prerequisite. Note: This course may not be taken for credit if credit is to be earned in STAT-145 or STAT-155 or MATH 252..

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Statistics in engineering; enumerative and analytic studies; descriptive statistics and statistical control; sample spaces and events; axioms of probability; counting techniques; conditional probability and independence; distributions of discrete and continuous random variables; joint distributions; central limit theorem.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Statistics in engineering; enumerative and analytic studies; descriptive statistics and statistical control; sample spaces and events; axioms of probability; counting techniques; conditional probability and independence; distributions of discrete and continuous random variables; joint distributions; central limit theorem.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Point estimation; hypothesis testing and confidence intervals; one- and two-sample inference; introduction to analysis of variance, experimental design, and non-parametric methods.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Point estimation; hypothesis testing and confidence intervals; one- and two-sample inference; introduction to analysis of variance, experimental design, and non-parametric methods.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Learn how data furthers understanding of science and engineering. This course covers basic statistical concepts, sampling theory, hypothesis testing, confidence intervals, point estimation, and simple linear regression. A statistical software package such as MINITAB will be used for data analysis and statistical applications.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Learn how data furthers understanding of science and engineering. This course covers basic statistical concepts, sampling theory, hypothesis testing, confidence intervals, point estimation, and simple linear regression. A statistical software package such as MINITAB will be used for data analysis and statistical applications.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is an introduction to the probabilistic models and statistical techniques used in computational molecular biology. Probabilistic and/or statistical techniques will be presented for the understanding of pairwise and multiple sequence alignment methods, gene and protein classification methods, and phylogenetic tree construction.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is an introduction to the probabilistic models and statistical techniques used in computational molecular biology. Probabilistic and/or statistical techniques will be presented for the understanding of pairwise and multiple sequence alignment methods, gene and protein classification methods, and phylogenetic tree construction.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course covers regression techniques with applications to the type of problems encountered in real-world situations. It includes use of the statistical software SAS. Topics include a review of simple linear regression, residual analysis, multiple regression, matrix approach to regression, model selection procedures, and various other models as time permits.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course covers regression techniques with applications to the type of problems encountered in real-world situations. It includes use of the statistical software SAS. Topics include a review of simple linear regression, residual analysis, multiple regression, matrix approach to regression, model selection procedures, and various other models as time permits.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is a study of the design and analysis of experiments. It includes extensive use of statistical software. Topics include single-factor analysis of variance, multiple comparisons and model validation, multifactor factorial designs, fixed, random and mixed models, expected mean square calculations, confounding, randomized block designs, and other designs and topics as time permits.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is a study of the design and analysis of experiments. It includes extensive use of statistical software. Topics include single-factor analysis of variance, multiple comparisons and model validation, multifactor factorial designs, fixed, random and mixed models, expected mean square calculations, confounding, randomized block designs, and other designs and topics as time permits.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is a study of the modeling and forecasting of time series. Topics include ARMA and ARIMA models, autocorrelation function, partial autocorrelation function, detrending, residual analysis, graphical methods, and diagnostics. A statistical software package is used for data analysis.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is a study of the modeling and forecasting of time series. Topics include ARMA and ARIMA models, autocorrelation function, partial autocorrelation function, detrending, residual analysis, graphical methods, and diagnostics. A statistical software package is used for data analysis.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is an in-depth study of inferential procedures that are valid under a wide range of shapes for the population distribution. Topics include tests based on the binomial distribution, contingency tables, statistical inferences based on ranks, runs tests and randomization methods. A statistical software package is used for data analysis.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is an in-depth study of inferential procedures that are valid under a wide range of shapes for the population distribution. Topics include tests based on the binomial distribution, contingency tables, statistical inferences based on ranks, runs tests and randomization methods. A statistical software package is used for data analysis.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course provides a brief review of basic probability concepts and distribution theory. It covers mathematical properties of distributions needed for statistical inference.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course provides a brief review of basic probability concepts and distribution theory. It covers mathematical properties of distributions needed for statistical inference.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is a continuation of STAT-405 covering classical and Bayesian methods in estimation theory, chi-square test, Neyman-Pearson lemma, mathematical justification of standard test procedures, sufficient statistics, and further topics in statistical inference.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is a continuation of STAT-405 covering classical and Bayesian methods in estimation theory, chi-square test, Neyman-Pearson lemma, mathematical justification of standard test procedures, sufficient statistics, and further topics in statistical inference.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course provides a basis for understanding the selection of the appropriate tools and techniques for analyzing survey data. Topics include design of simple surveys, methods of data collection, a study of standard sampling methods. A statistical software package is used for data analysis.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course provides a basis for understanding the selection of the appropriate tools and techniques for analyzing survey data. Topics include design of simple surveys, methods of data collection, a study of standard sampling methods. A statistical software package is used for data analysis.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course introduces the student to statistical situations not encountered in regular course of study. It integrates and synthesizes concepts in statistical theory with applications. Topics include open-ended analysis of data, current techniques and practice of statistics, development of statistical communication skills and the use of statistical software tools in data analysis. Each student is required to learn and use a statistical technique beyond what is covered in the previous courses. Students are expected to introduce the method in a presentation and to prepare a comprehensive, professional report detailing the statistical method and its application to a data set.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course introduces the student to statistical situations not encountered in regular course of study. It integrates and synthesizes concepts in statistical theory with applications. Topics include open-ended analysis of data, current techniques and practice of statistics, development of statistical communication skills and the use of statistical software tools in data analysis. Each student is required to learn and use a statistical technique beyond what is covered in the previous courses. Students are expected to introduce the method in a presentation and to prepare a comprehensive, professional report detailing the statistical method and its application to a data set.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course presents the probability models associated with control charts, control charts for continuous and discrete data, interpretation of control charts, and some standard sampling plans as applied to quality control. A statistical software package will be used for data analysis.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course presents the probability models associated with control charts, control charts for continuous and discrete data, interpretation of control charts, and some standard sampling plans as applied to quality control. A statistical software package will be used for data analysis.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course explores the human condition within an environmental context by emphasizing critical environmental problems facing humans on both a global and regional scale. The approach will be interdisciplinary. The issues, their causes, and their potential solutions will be analyzed with respect to ethical, social, historical, political, scientific, and technological factors.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course explores the human condition within an environmental context by emphasizing critical environmental problems facing humans on both a global and regional scale. The approach will be interdisciplinary. The issues, their causes, and their potential solutions will be analyzed with respect to ethical, social, historical, political, scientific, and technological factors.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course explores the concepts and effects of science and technology on society, analyzes the relationship between science and technology, examines how each has come to play a major role today, and looks at how science and technology have affected and been affected by our values. This course also considers the environmental aspects of science and technology. Science and technology are often assumed to be value free, yet people, guided by individual and societal values, develop the science and technology. In turn, the choices people make among the opportunities provided by science and technology are guided by their individual values.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course explores the concepts and effects of science and technology on society, analyzes the relationship between science and technology, examines how each has come to play a major role today, and looks at how science and technology have affected and been affected by our values. This course also considers the environmental aspects of science and technology. Science and technology are often assumed to be value free, yet people, guided by individual and societal values, develop the science and technology. In turn, the choices people make among the opportunities provided by science and technology are guided by their individual values.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Examines how local, state, federal and international policies are developed to influence innovation, the transfer of technology and industrial productivity in the United States and other selected nations.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Examines how local, state, federal and international policies are developed to influence innovation, the transfer of technology and industrial productivity in the United States and other selected nations.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course introduces the interdisciplinary foundations of environmental science via an analysis of sustainability within a socio-cultural context. This is a required course for the environmental science degree program.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course introduces the interdisciplinary foundations of environmental science via an analysis of sustainability within a socio-cultural context. This is a required course for the environmental science degree program.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Are you passionate about addressing the socially-complex, wicked problems of our time? This interdisciplinary, active-learning course will lay the groundwork for students who want to participate in future place-based community-engaged research, development or design projects that build on community strengths and address community determined challenges. Through literature reviews, discussions, cases study analysis, role plays, debates, reflective writing, and visits with experienced community practitioners, we will explore the larger context of the systems within which we live and how others have engaged in efforts to improve community wellbeing both locally and globally. We will strive for a more nuanced understanding of our world and its power dynamics from various perspectives. We will investigate the context in which community and economic development has traditionally occurred, how technology has been involved, and the effects of projects and activities on the “beneficiaries”. We will investigate best practices including mindsets, worldviews, skills, processes, and tools for community-driven positive change. Finally we will use all our learnings to develop our own evaluation framework and apply it to a current community project. This course incorporates humanities and social science approaches and counts for general education requirements.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Are you passionate about addressing the socially-complex, wicked problems of our time? This interdisciplinary, active-learning course will lay the groundwork for students who want to participate in future place-based community-engaged research, development or design projects that build on community strengths and address community determined challenges. Through literature reviews, discussions, cases study analysis, role plays, debates, reflective writing, and visits with experienced community practitioners, we will explore the larger context of the systems within which we live and how others have engaged in efforts to improve community wellbeing both locally and globally. We will strive for a more nuanced understanding of our world and its power dynamics from various perspectives. We will investigate the context in which community and economic development has traditionally occurred, how technology has been involved, and the effects of projects and activities on the “beneficiaries”. We will investigate best practices including mindsets, worldviews, skills, processes, and tools for community-driven positive change. Finally we will use all our learnings to develop our own evaluation framework and apply it to a current community project. This course incorporates humanities and social science approaches and counts for general education requirements.

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.