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analytical skills in interpreting data.Introduction to data collection techniques including quantitative and qualitative techniques.Operationalization and measurement.Data collection.Data analysis. Demonstrate critical, independent thinking about politics and public life.Recognize rights, responsibilities, and privileges of participating in, and contributing as a citizen in a diverse society. Have and awareness of one's own biases, including reflection on one's own political socialization and the effects
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& Recursive Data Structures Novice Debugging Diversity in CS Active and Cooperative Learning Selected Presentations Dale E. Benson Innovation Studies Workshop, Student-Centered Instruction in Computer Science Education, Pacific Lutheran University (October 2018) Invited Presenter, Pairs, Peers and Perceptions of Self: Putting Computer Science Education Research into Practice, Whitworth University (March 2016) PLUTO Online Institute, Developing Videos and Screencasts!, Pacific Lutheran University (January
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. Prerequisites: CHEM 116, MATH 152, PHYS 153. (4) CHEM 342 : Physical Chemistry A study of the physical properties of atoms, molecules and ions, and their correlation with structure. Classical and modern quantum mechanics, bonding theory, atomic and molecular structure, spectroscopy. Prerequisites: CHEM 116, MATH 152, PHYS 154. (4) CHEM 343 : Physical Chemistry Laboratory Experiments in kinetics and thermodynamics. Attention given to data handling, error analysis, instrumentation, computational analysis, and
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DataResearch involving the collection or study of existing data, documents, records, pathology specimens, or diagnostic specimens, if: these sources are publicly available OR the information is recorded by the investigator in such a manner that participants cannot be identified, directly or through identifiers linked to the subjects. In order for the data to be analyzed as “existing,” it must have been collected prior to HPRB review. Examples include analysis of existing medical records, data collected
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DataResearch involving the collection or study of existing data, documents, records, pathology specimens, or diagnostic specimens, if: these sources are publicly available OR the information is recorded by the investigator in such a manner that participants cannot be identified, directly or through identifiers linked to the subjects. In order for the data to be analyzed as “existing,” it must have been collected prior to HPRB review. Examples include analysis of existing medical records, data collected
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2022 Mathematics Capstone SymposiumFriday, May 6th Join the Mathematics Department in Morken 216 to hear the senior capstone presentations. If you’d like to watch the presentations virtually, please email Dr. Daniel Heath (heathdj@plu.edu) for the Zoom link. 12:30pm Hannah Tate An introduction to climate science, emphasizing the significance of mathematical modeling in communicating climate data and engaging a wide audience in the fight against the climate crisis. 1:00pm Drake Nguyen We will
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disciplines can go together, with data analysis as the linking piece,” Hachet says. During this time of COVID-19 and shelter-in-place, Hachet is staying at a friend’s house off-campus. He hopes to remain in Washington after graduation. “I go on hikes all the time, and everyone here is really friendly,” he says. He hopes to land a position as an Americorps sustainability coordinator right after graduation. Eventually, he’d like to work in data analysis for environmental consulting firms. Hachet will miss
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Women During Reconstruction Faculty Mentor: Gina Hames, History This research paper applies the modern concept of intersectional identity to historical analysis. By viewing four black women during Reconstruction through an intersectional lens, it is possible to better understand the dynamics that influenced their work and how their activism benefited black women in general. 9:15 am | Session I - AUC 214 Chris Knutzen HallFaculty Moderator: Ann Auman, Natural Sciences Student(s)Presentation Kaden
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science. For the past 5 years I have led and managed over 85 Capstone student teams sponsored by T-Mobile, Amazon, Microsoft, Adobe, Cisco, Costco, and other top tech. companies in the Pacific Northwest and governmental agencies such as King Country Metro, City of Seattle, and King County library systems. In 2021, I taught interactive data visualization, and two sections of Research and Analysis for Information Professionals, MSIM Practicum student (10-week capstone). In my career, I have also
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Equitable Assessment PracticesIn keeping with PLU’s access, recruitment, and retention goals, we must expand our understanding of “effectiveness” in assessment to include equity-centered assessment practices. According to Montenegro and Jankowski (NILOA 2020) equity in assessment relies on three changes in how we think about data collection, analysis, and action: Assessment should be culturally responsive, meaning it should be mindful of context and the various student populations being served
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