This course aims to teach students to use programming to gain intuition about statistical theory and fundamental concepts and to visualize data appropriately. Specifically, computational methods covered include simulation methods and numerical methods in maximization and integration. Appropriate graphical displays of statistical and simulation results will be emphasized. Statistical concepts covered include sampling distributions, confidence intervals and p-values, the central limit theorem, expectation, and maximum likelihood estimation.

This course introduces probability, random variables, independence, and distribution theory. Inference topics include, but are not limited to, estimation, hypothesis tests, likelihood ratio tests, confidence intervals, sufficiency, and efficient estimators.

This course aims to teach students to use the SAS statistical programming language and to apply this knowledge appropriately in a variety of settings. Student achievement in the course will rely heavily on performing computational tasks, data management, editing data, running basic statistical procedures, and producing reports using SAS.

Statistics (STA) 648 is an applied regression course that emphasizes data analysis and interpretation. Generally, regression is a collection of methods for determining and using models that explain how a response variable (dependent variable) relates to one or more explanatory variables (predictor variables). This course aims to teach students about different regression models, their corresponding assumptions, and how to interpret the estimated models.

This course provides an overview of social work practice with military members, veterans, and military families. Students will learn to appreciate the unique experiences and stresses of military members and their families, and resultant implications for helping professionals serving this population.

Instruction and practice in writing for the food and beverage industry. Emphasis on the history and culture of the craft beer industry and common practices in written and digital communication, argumentation and persuasion, narrative, and engagement with social media.

This course addresses contemporary genres of professional writing, including professional correspondence, reports, and social media most often found in business, technical, and scientific communities. The course also addresses the common tools and technologies of professional writing production and practice.

Engineering Exploration For Transfer Students introduces transfer students to the engineering and computer science professions using multidisciplinary and societally relevant content. Topics and assignments will focus on skills development for engineering academic success, team development, engineering ethics, problem solving and basic engineering tools for modeling, analysis and visualization. In addition, the students will be introduced to College of Engineering student services and will have opportunities for career path exploration.

A successful pharmaceutical outcomes and policy researcher must have the ability to independently assess the literature in order to identify a clinically relevant research question, design a study that will address the question and analyze and present the results appropriately to the scientific community. This course will provide an introduction to the conduct of pharmaceutical outcomes and policy research through in-depth didactic and practical instruction on the development, design, and presentation of relevant research study. The course will have two components.

A background course in the areas of materials and manufacturing processes for mechanical engineers. Includes basic microstructure of materials, material properties and processing. Also includes an overview of casting, metal forming, machining, additive processing, non- traditional manufacturing processes, and manufacturing of non-metallic components.