STAT 380 Data Science Through Statistical Reasoning and Computation (3) This course addresses the fact that real data are often messy by taking a holistic view of statistical analysis to answer questions of interest. The statistical background gained by students will provide them with a base for future use of statistics in both their course work and careers.Ī case study-based course in the use of computing and statistcal reasoning to answer data-intensive questions. Since real-life use of statistics relies upon computers, this course will provide a strong hands-on analysis element necessitating regular access to computer labs. Students will learn through lectures, individual and group problem solving, computer-based activities, and case study discussions. Course content includes data collection, descriptive statistics, statistical inference, regression, and ANOVA. The objective of the course is to provide students with a good basis for understanding uncertainty and its effects on understanding observational studies and experiments. This is a course concerned with statistical analysis pertaining to the natural and agricultural sciences. STAT 240 Introduction to Biometry (3) (GQ)(BA) This course meets the Bachelor of Arts degree requirements. Students may take only one course from STAT 200, 220, 240, 250 for credit. Statistical analysis, sampling, and experimentation in the agricultural sciences data collection, descriptive statistics, statistical inference, regression, one factor AOV, probability. The course focuses on descriptive and graphical summary techniques rather than inferential statistical techniques
RStudio) and will be expected to write well-documented code using a reproducible workflow (e.g. In addition, students will be exposed to one or more integrated development environments (e.g. dplyr, ggplot2), although students will also be exposed to Base R and other packages. The course will emphasize use of "tidyverse" R packages (e.g. CSV, HTML scraping, web URL, R packages). Students will be expected to access, join, wrangle, clean, and visualize real data from various sources (e.g. This course will introduce students to data computing fundamentals and a reproducible workflow using the R programming language and related tools. It is easily extendible, and thousands of user-created packages are publicly available to extend its capabilities. R is a powerful, open-source programming language used widely for applications in statistics and data science. Workforce Education and Development (WFED).Veterinary and Biomedical Sciences (VBSC).
Temporary Education Abroad Registration (EDAB).School of Science Engineering and Technology (SSET).Rehabilitation and Human Services (RHS).Recreation, Park, and Tourism Management (RPTM).Railroad Transportation Engineering (RTE).Plastics Engineering Technology - BC (PLET).Plant Pathology and Environmental Microbiology (PPEM).Petroleum and Natural Gas Engineering (PNG).Mechanical Engineering Technology (MET).Materials Science and Engineering (MATSE).Materials Engineering Technology (MAET).Languages (Less Commonly Taught) (LANG).Interdisciplinary Science and Business (ISB).Information Sciences and Technology (IST).Industrial Engineering Technology (IET).Human-Centered Design and Development (HCDD).Human Development and Family Studies (HDFS).Global and International Studies (GLIS).Environmental Systems Engineering (ENVSE).Environmental Resource Management (ERM).Enterprise Technology Integration (ETI).Energy and Geo-Environmental Engineering (EGEE).Elementary Education in Multicultural Settings (ELEDM).Electro-Mechanical Engineering Technology (EMET).Electrical Engineering Technology (EET).
Digital Media, Arts, and Technology (DIGIT).Cybersecurity Analytics and Operations (CYBER).Computer Engineering Technology - CA (CMPET).Community Environment and Development (CED).Community and Economic Development (CEDEV).Communication Sciences and Disorders (CSD).Classics and Ancient Mediterranean Studies (CAMS).Child Maltreatment and Advocacy Studies (CMAS).Biomedical Engineering Technology (BE_T).Biochemistry and Molecular Biology (BMB).
Architectural Engineering Technology (AET).Applied Youth, Family and Community Education (AYFCE).