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nature of PCET have precluded rigorous correlation of experiment and theory, especially in naturally occurring protein environments where PCET is known to be at the cornerstone of function for a vast number of enzymes. Our interdisciplinary approach combines the tools of biochemistry, physical chemistry, and computational biology to investigate kinetic and thermodynamic frameworks of PCET in well-defined protein architectures where coupling of the proton and electron can be systematically addressed

Program Learning OutcomesLearning Outcomes for BS and BA in Mathematics (BSM, BA) (Developed with reference to the MAA’s 2015 Curriculum Guide to Majors in the Mathematical Sciences.) Communication: Be able to read, interpret, write about, and talk about mathematics. Computation: Develop computational, algorithmic, and technological problem-solving fluency. Disciplinary Citizenship: Develop collaborative skills, independence, perseverance, and experience with open-ended inquiry. A. Abstraction

English Department Learning Outcomes - effective January 2019 Literature Major, Minor, and General Education Coursework Reading. Students will interpret texts with attention to ambiguity, complexity, and aesthetic value. Writing Process. Students will practice a deliberate writing process with emphasis on inquiry, audience, research, and revision. Genre and Rhetorical Situation. Students will evaluate genres of writing and write in appropriate genres and modes for a variety of purposes and

-Hach Second Career Teacher ScholarshipKinesiology Barbara A. Cooley Master’s Scholarship Barbara A. Cooley Master’s ScholarshipMarketing Analytics SMART Scholarship Program ACM SIGHPC Computational and Data Science Fellowship Acxiom Diversity Scholarship ASA Pride Scholarship Great Minds in STEM Scholarship UPE/ACM Scholarship STEM Scholarship Guide Big Data Science & Analytics Scholarships SMART Scholarship ProgramACM SIGHPC Computational and Data Science FellowshipAcxiom Diversity ScholarshipASA

Global StudiesGlobal Studies majors will: Articulate the complexity of global issues and of solutions to global problems. Apply the approaches and methods of multiple disciplines to analyze specific global issues. Effectively communicate in written and oral form the complexity of a global issue or a specific solution to a global problem using approaches and methods from multiple disciplines. Demonstrate knowledge of translinguistic and transcultural perspectives on the world and its issues

who would benefit from in-depth experiences managing, analyzing, and visualizing data. The minor is designed for students from virtually any major, although quantitative literacy at or exceeding the level of PLU MATH 140 (Precalculus) is required. Minor in Data Science 20 semester hours Data science minors must complete a minimum of 20 credit hours in the following areas: Computational and Data Science Foundations (8) Statistical Foundations (8) Domain-Specific Elective (4) Students may complete