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provide significant scholarship support for low-income students in STEM, but it will also allow us to better integrate PLU resources and build new structures to support these students’ success.” The grant, funded by the NSF Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program, will be awarded over a five-year period. It will provide scholarships and enhanced support for students who meet the criteria for federal Pell grants, with a particular focus on transfer and
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(Kaminsky, 1999). This erosion has continued unabated throughout numerous efforts to slow the encroachment of the Pacific Ocean until the installation of dynamic revetment beginning in December of 2019. The purpose of this research is to use GIS (Global Information Systems) imagery to determine the success of the project by mapping and measuring the coastline in 15-year intervals starting in 1990. Using this data, the surf line as well as the vegetation line were documented and any structures left in
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Annual ReportingStay informed with our detailed annual reporting, which includes comprehensive data on various aspects of our university. This page features reports from two major data collection initiatives: the Common Data Set (CDS) and the Integrated Postsecondary Education Data System (IPEDS).Common Data Set (CDS)The Common Data Set (CDS) initiative is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s
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(WISHES) was administered to all PLU students for the first time in September 2023. This survey “provides colleges and universities with timely and actionable data to adapt and improve institutional norms, structures, and processes, to enable all students to thrive and flourish.” 2,737 invitations were sent out to all of our undergraduate and graduate students. We received 342 responses, or about 12.5%. We’ve summarized the results in the following document: PLU WISHES Survey: Fall 2023
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mathematics or MATH 140 or equivalent. (4) CSCI 270 : Data Structures Study of object-oriented programming techniques and fundamental data structure abstractions and implementations including list, stack, queue, and trees with applications to sorting, searching, and data storage. Prerequisite: CSCI 144. (4) CSCI 287 : Special Topics in Computer Science To provide undergraduate students with new, one-time, and developing courses not yet available in the regular curriculum. The title will be listed on the
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than the 3D paper structures that are created by the folds. The types of folds that can be done with paper are described by the Huzita-Hatori Axioms of Origami. Our project implements the first two axioms and is modular so that we can implement further axioms in the future. We have additionally designed our program to be resistant to various forms of cheating and hacking, including data-mining on the front-end, tricking the front-end into believing that a given level has been solved, and committing
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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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, 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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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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