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Student Retention through Multiple Logistic Regression Analysis Meghan Bonafilia In this presentation, we will explore a data set with over 4000 observations concerning first year students at PLU and their likelihood of staying at PLU for the next year. Using logistic regression for analysis, we will review different model selection processes and explore several factors like: GPA, race, whether or not a student is first generation, whether or not a student lives on campus, and more. 2:00pm
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Student Retention through Multiple Logistic Regression Analysis Meghan Bonafilia In this presentation, we will explore a data set with over 4000 observations concerning first year students at PLU and their likelihood of staying at PLU for the next year. Using logistic regression for analysis, we will review different model selection processes and explore several factors like: GPA, race, whether or not a student is first generation, whether or not a student lives on campus, and more. 2:00pm
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Qin Zhang, Ph.D. Associate Professor Phone: 253-535-7253 Email: zhangqc@plu.edu Office Location: Morken Center for Learning & Technology - 319 Curriculum Vitae: View my CV Professional Biography Education Ph.D., Marketing, Washington University in St. Louis M.S.B.A, Marketing, Washington University in St. Louis B.S., International Finance, Tsinghua University, China Areas of Emphasis or Expertise Retailing Basket Data Analysis Social Networks Social Media Promotions Dynamic Choice Modeling
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. Participating students will interact closely with faculty and graduate student mentors to develop and advance research projects revolving around oceanographic data analysis. Students will attend overview lectures on fundamental problems in different oceanography fields, including physical, biological, and chemical oceanography as well as marine geology and geophysics. They will gain a basic understanding and hands-on experience in data science techniques, including time series analysis and machine learning
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Qin Zhang, Ph.D. Associate Professor Phone: 253-535-7253 Email: zhangqc@plu.edu Office Location: Morken Center for Learning & Technology - 319 Curriculum Vitae: View my CV Professional Biography Education Ph.D., Marketing, Washington University in St. Louis M.S.B.A, Marketing, Washington University in St. Louis B.S., International Finance, Tsinghua University, China Areas of Emphasis or Expertise Retailing Basket Data Analysis Social Networks Social Media Promotions Dynamic Choice Modeling
Area of Emphasis/Expertise -
. Participating students will interact closely with faculty and graduate student mentors to develop and advance research projects revolving around oceanographic data analysis. Students will attend overview lectures on fundamental problems in different oceanography fields, including physical, biological, and chemical oceanography as well as marine geology and geophysics. They will gain a basic understanding and hands-on experience in data science techniques, including time series analysis and machine learning
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positions Officers FirstLastPositionOccupationHometown MarkGriffith '02ChairPastor, St. Luke's Lutheran Church, BellevueNorth Bend, WA Bruce Deal '87Vice ChairManaging Principal, Analysis GroupAtherton, CA SaraKass '88Vice ChairFamily Physician and Healthcare ConsultantBethesda, MD ThomasSaathoff '87Vice ChairVP, Strategy and Portfolio Management, Hewlett-PackardMossyrock, WA TroyAndrade '07SecretaryAssistant Professor and Director, Ulu Lehua Scholars Program, University of Hawai'i at ManoaHonolulu, HI
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. Participating students will interact closely with faculty and graduate student mentors to develop and advance research projects revolving around oceanographic data analysis. Students will attend overview lectures on fundamental problems in different oceanography fields, including physical, biological, and chemical oceanography as well as marine geology and geophysics. They will gain a basic understanding and hands-on experience in data science techniques, including time series analysis and machine learning
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Assessment ResourcesThe resources in this section are designed to support faculty conducting classroom- and program-level assessment. Learning OutcomesClick here to viewLearning Outcomes ResourcesClick here to viewAssessment PlanClick here to viewCurriculum MappingClick here to viewData Analysis StrategiesClick here to viewEquitable PracticesClick here to viewMeasurement of Student LearningClick here to view Questions or comments? Please contact the Office of the Provost (253)535-7126 or
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hopefully give them some helpful feedback.” Now, for her math capstone, she’s running a statistical analysis, using principal component analysis to simplify the dataset and suggest ways the U.N. agency can fine-tune their surveys and reporting. If collaborating with a U.N. agency seems unexpected for a chemistry major, for Jackie, it’s been a natural outcome from the innovative interdisciplinary approach of PLU’s International Honors Program (IHON). Through IHON, Jackie originally traveled to Oxford in
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