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expect? Is your care team meeting the needs of every customer? By managing the growing volume of social data, brands can provide personalized experiences, improve their products, transform customer care and create relevant storytelling that is powered by real-time audience insights. Additionally, data security is always a priority but in 2019 it will become increasingly important for marketers to have the right governance structures in place to manage data in compliance with global regulations. 2
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lanthanides. Target synthesis and fabrication, including thin films and nanowires. Target characterization using techniques including: SEM, TEM, EDS, and ICP-MS. Designing and executing experiments to optimize unit process steps, device structures, process integration, and automation of the isotope production technology. Analyses and interpreting of experimental data and development of predictive computer models. Qualifications: Candidates should currently be pursuing or recently have completed a
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of instructor. (4) MATH 242 : Introduction to Mathematical Statistics - QR Data description, probability, discrete and continuous random variables, expectations, special distributions, statements of law of large numbers and central limit theorem, sampling distributions, theory of point estimators, confidence intervals, hypothesis tests, regression (time permitting). Cross-listed with STAT 242. Previously was MATH/STAT 341. Prerequisite: MATH 151. (4) MATH 245 : Discrete Structures Topics that are
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Mission Fulfillment diagram (p. 1) referenced as three distinct but overlapping pathways. To best realize mission fulfillment, we work to ensure alignment between our Core Themes and Objectives and the University Strategic Plan (p. 2) IR/ER comparison chart (p. 8) referenced as staffing levels and structures Annual unit report (form) (p.19 ) referenced as Annual Unit Reports (currently password protected) Assessment report of the department of Religion (p. 19) referenced as assessment report of
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: Be able to work with abstract mathematical structures, and to generalize from the concrete to the abstract. Additional Learning Outcomes for BS in Mathematics Education (BSME) (Adapted from Association of Mathematics Teacher Educators’ 2017 Standards for Preparing Teachers of Mathematics.) Demonstrate the belief that all people are capable of thinking mathematically and are able to solve sophisticated mathematical problems with effort. Demonstrate understanding that the social, historical, and
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, regarding the encryption and decryption of information. 10:30am – An Exploration of the Chebyshev Polynomials Paul Dalenberg The Chebyshev polynomials are a unique, multifaceted mathematical object. We introduce the polynomials with a trigonometric definition, which we use to find a closed form using binomial coefficients. Then, we investigates some of their properties, including their recursive formula, and their extremal properties. 11:00am – 12:00pm Lunch Break 12:00pm – Classifying Frieze Patterns
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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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observation. Archaeology focuses on the material remains of past peoples to study their cultures, investigate causality in the development of human institutions, and to contribute to a cross-cultural understanding of human behavior. Linguistic Anthropology studies the fundamental structures of human language as well as the culturally patterned usages of language in social interaction. Biological Anthropology studies the emergence and subsequent biological adaptations of humanity as a species influenced by
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Common Data Set 2020-2021 (pdf) view download
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