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Objectives: Provide a practical understanding of matrix computations for science, engineering and industrial applications; provide solid foundations in computational linear algebra; introduction to parallel computing and programming practices. Contents: Introduction to Scientific Computing, basic numerical techniques of linear algebra and their applications, Data formats and Practices, matrix computations with an emphasis on solving sparse linear systems of equations and eigenvalue problems, parallel architectures and parallel programming with Open MP, MPI and hybrid.

In this seminar, students will be presented with case studies that highlight challenges facing children and young adults in our society. We will focus on a subset of challenges (e.g., safe food and water, energy needs, educational inequalities, etc.), and will emphasize identification and quantification of change over time. Student groups will create and share proposals for manipulating variables to alter the trajectory of the challenge. Lastly, students will reflect on what they've learned about the challenge and about themselves.

This class is about 1. Ideas that have chagned the discipline of history. 2. Ideas that have changed the larger flow of history. 3. Ideas that have changed you, the student, and your relationship to history. 4. Ideas that have changed your personal history.Satisfies the Integrative Experience requirement for BA-Hist majors. (No credit after History 391G).

The course examines implementation of the peace process and co-constructing a shared future of equals when the past and future remain heavily contested. Efforts to address the conflict's legacy are explored in the legal, political, and social arenas including truth recovery, reconciliation, urban regeneration, policing, language revival, and public art.

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A practical, hands-on approach to subjects within computational molecular biology. Recently, there have been huge advances in our ability to understand the genome and how different genomes interact in an environment using next-generation sequencing. Analyzing these revolutionary new datasets will be essential for molecular biology in the future. Foundational topics will include analysis of whole transcriptome, whole genome, and microbiome sequencing. No coding experience required.

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Engineered ground improvement; slurry trenches, dewatering systems; grouting; deep dynamic compaction, vibro compaction; stone columns; wick and vertical sand drains. Emphasizes basic principles and design methodology. Prerequisite: CE-ENGIN 320.