ࡱ>  Cbjbj"K"K 4@!`@!`K,,$$%%%"%"%"%8Z%l%$"%S '((((((((0>0 1 PSRSRSRSRSRSRS$WZvS%10"011vS$$((((oS6661^$8((%((PS61PS66jD|$E+_~u1jD Date Updated: 7/1/2021 PROGRAM MISSION HYPERLINK "http://www20.csueastbay.edu/about/strategic-planning/files/pdf/CSUEB%20Mission,%20Commitments%20and%20ILOs,%202012%20June%2019.pdf" CSUEB Missions, Commitments, and ILOs, 2012PROGRAM LEARNING OUTCOMES (PLOs)Students graduating with a will be able to: PLO 1  basic computational skills in descriptive statistics and data visualization, hypothesis testing, confidence intervals, modeling and error analysis, including the use of large data sets.PLO 2 Analyze data using appropriate software, including cloud-based software, and to interpret results covering descriptive statistics and data visualization, hypothesis testing, confidence intervals, modeling and error analysis, including the use of large data sets.PLO 3 Communicate to others results involving descriptive statistics and data visualization, hypothesis testing, confidence intervals, modeling and error analysis using reproducible research best practices.PLO 4 Generate data sets using methods of design of experiments, survey sampling, or observational data, including data scraping and data wrangling from open source data and free data sources. Year 1: 2020-2021Which PLO(s) to assess PLO 1 Is it aligned to an ILO?Yes If yes, list ILO.Thinking & Reasoning Course name and numberSTAT 432 Introduction to Linear and Logistics Regression SLO from course statistical methodologies, including (a) simple and multiple linear regression, (b) model diagnostics and transformations, and (c) logistic regression. Communicate statistical concepts clearly and appropriately to others.Assessment activityData Analysis and Project Assessment InstrumentDepartmental RubricHow data will be reportedQuantitative , report to include proportion of students in each level 1-5 (5 mastered) Responsible person(s)Instructor for STAT 432, Assessment Rep Time (which semester(s))Spring 2021Ways of closing the loopInternal assessment of assignment and rubricYear 2: 2021-2022Which PLO(s) to assess PLO 2 Is it aligned to an ILO?No If yes, list ILO.Course name and numberSTAT 432 Introduction to Linear and Logistics Regression SLO from course statistical methodologies, including (a) simple and multiple linear regression, (b) model diagnostics and transformations, and (c) logistic regression.Assessment activity Data Analysis and Project Assessment InstrumentDepartmental RubricHow data will be reportedQuantitative, report to include proportion of students in each level 1-5 (5 mastered) Responsible person(s)Instructor for STAT 432, Assessment Rep Time (which semester(s))Spring 2022Ways of closing the loopInternal assessment of assignment and rubricYear 3: 2022-2023Which PLO(s) to assess PLO 3  Is it aligned to an ILO?Yes If yes, list ILO.Communication Course name and numberSTAT 432 Introduction to Linear and Logistics Regression SLO from courseUpon successful completion of this course, students will be able to communicate statistical concepts clearly and appropriately to others.Assessment activity Data Analysis and Project Assessment InstrumentDepartmental RubricHow data will be reportedQuantitative, report to include proportion of students in each level 1-5 (5 mastered) Responsible person(s)Instructor for STAT 432, Assessment Rep Time (which semester(s))Spring 2023Ways of closing the loopInternal assessment of assignment and rubric Year 4: 2023-2024Which PLO(s) to assess PLO 4Is it aligned to an ILO?No If yes, list ILO.Course name and numberSTAT 432 Introduction to Linear and Logistics Regression SLO from course statistical methodologies, including (a) simple and multiple linear regression, (b) model diagnostics and transformations, and (c) logistic regression. _Derive and understand basic theory underlying these methodologies. _ Use R and RStudio to analyze data sets, estimate statistical models, and conduct model diagnostics.Assessment activity Data Analysis and Project Assessment InstrumentDepartmental RubricHow data will be reportedQuantitative, report to include proportion of students in each level 1-5 (5 mastered) Responsible person(s)Instructor for STAT 432, Assessment Rep Time (which semester(s))Spring 2024Ways of closing the loopInternal assessment of assignment and rubricYear 5: 2024-2025Which PLO(s) to assess PLO 1 Is it aligned to an ILO?Yes If yes, list ILO.Thinking & Reasoning Course name and numberSTAT 432 Introduction to Linear and Logistics Regression SLO from course statistical methodologies, including (a) simple and multiple linear regression, (b) model diagnostics and transformations, and (c) logistic regression. 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