9 courses with the subject STAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
STAT 216Statistics I1
Offered Both Fall and Spring; Lecture hours:3,Other:1Exploratory data analysis, sampling and experimental designs, sampling distributions and confidence intervals, hypothesis testing, least squares regression and applications. Statistical software is used and a semester long project with real data is undertaken. Not open to students with BMEG 226, ENGR 215, ENGR 226, MATH 216, MATH 227, PSYC 215 or STAT 227 credit.
Offered Both Fall and Spring; Lecture hours:3Multiple linear regression, logistic regression and ANOVA. Inferential analysis emphasizing applications to a range of disciplines is conducted using statistical software. Prerequisites: MATH 216 or STAT 216 or MATH 227 or STAT 227. Not open to students who have taken MATH 217.
Offered Both Fall and Spring; Lecture hours:3Probability theory, discrete and continuous random variables, sampling distributions and methods of statistical inference including regression and ANOVA. Software is used. Prerequisite: MATH 202. Open only to engineering students and students in computer science. Not open to students who have BMEG 226, ENGR 215, ENGR 226, MATH 216, MATH 227 or STAT 216 credit.
Offered Spring Semester Only; Lecture hours:3Simulation-based learning for concepts including sampling, sampling distributions, p-values and confidence levels. Data visualization beyond simple exploratory data analysis techniques. Advanced statistical software will be used. Prerequisites: MATH 216 or STAT 216 or MATH 227 or STAT 227 or permission of the instructor. Not open to students with MATH 230 credit.
Offered Fall Semester Only; Lecture hours:3Fisher's likelihood theory, point and interval estimation, hypothesis testing, Bayesian inference. Software will be used. Prerequisites: MATH 303 and (MATH 216 or STAT 216 or MATH 227 or STAT 227) or permission of the instructor. Not open to students with MATH 304 credit.
Offered Fall Semester Only; Lecture hours:3Experiential learning course where students work on collaborative data focused projects. Students will communicate findings to stakeholders and engage with important topics related to the art and practice of statistical consulting. Advanced statistical software will be used. Prerequisites: STAT 217 and STAT 230, or permission of the instructor. Not open to students with DATA 306 or MATH 306 credit.
Offered Alternating Spring Semester; Lecture hours:3Advanced methods in modern data analysis. Topics may include principal component analysis, random forest, clustering and classification, unsupervised learning, splines, longitudinal data analysis, survival analysis, time series, spatial statistics and nonparametric methods. Prerequisites: MATH 230 or STAT 230 and MATH 245, or permission of the instructor. Not open to students who have MATH 354 credit.
Offered Spring Semester Only; Lecture hours:3Theory behind General Linear Models including multiple linear regression and logistic regression. Model diagnostics and remediation. Model selection, multicollinearity. Software will be used. Prerequisites: MATH 217 or STAT 217 and MATH 304 or STAT 304 and MATH 245. Not open to students who have MATH 405 credit.
Offered Fall Semester Only; Lecture hours:3Basic and advanced experimental designs (completely randomized, block, crossed, nested and mixed designs, fractional factorial, incomplete block, etc). Corresponding theory and application of estimation procedures including both frequentist and Bayesian estimation techniques. Advanced statistical software will be used. Prerequisite: MATH 304 or STAT 304. Not open to students who have MATH 407 credit.
