39 research outputs found

    Curriculum Guidelines for Undergraduate Programs in Data Science

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    The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science. The group consisted of 25 undergraduate faculty from a variety of institutions in the U.S., primarily from the disciplines of mathematics, statistics and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in Data Science

    Curriculum Guidelines for Undergraduate Programs in Data Science

    Get PDF
    The Park City Math Institute 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in data science. The group consisted of 25 undergraduate faculty from a variety of institutions in the United States, primarily from the disciplines of mathematics, statistics, and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in data science

    No difference in clinical outcomes for African American and White patients hospitalized with SARS-CoV-2 pneumonia in Louisville, Kentucky

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    Introduction: Current literature indicates that African American individuals are at increased risk of becoming infected with the SARS-CoV-2 virus and suffer higher SARS-CoV-2-related mortality rates. However, there is a lack of consensus as to how the clinical outcomes of African American patients differ from those of other groups. The objective of this study was to define the clinical outcomes of African American and White hospitalized patients with SARS-CoV-2 community-acquired pneumonia (CAP) in Louisville, Kentucky. Methods: This was a retrospective cohort study of hospitalized patients with SARS-CoV-2 CAP at eight hospitals in Louisville, Kentucky. Severity of CAP at time of hospitalization was evaluated using the pneumonia severity index (PSI), CURB-65 score and SARS-CoV-2 viral load. The following thirteen clinical outcomes were compared: discharge alive to home, time to home discharge, admission to the ICU, length of ICU stay, need for invasive mechanical ventilation (IMV), duration of IMV, development of acute respiratory distress syndrome (ARDS), development of septic shock, need for vasopressors, development of cardiovascular events, time to cardiovascular events, in-hospital mortality, and time to death. Results: A total of 541 patients were eligible for this study, 343 White (63%) and 198 African American (37%). None of the thirteen clinical outcomes were statistically significantly different between the two groups. Conclusions: This study indicates that African American and White patients do not have different clinical outcomes after the point of hospitalization due to SARS-CoV-2 CAP

    Collage Vol. II

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    JUDY COCHRAN: Editorial, 4-5 ROBERTA CHAPMEN: Photo, 6 ANITRA CHUGHTAI (Translations): Haikus, 7 CHARLES O\u27KEEFE: Photo, 8 MARK VANDERLINDE-ABERNATHY, ALYSSA LANDRY (Translator): Memories of a Spider (Les souvenirs d\u27une araignee), 9 MARK VANDERLINE-ABERNATHY, AMY NORSKOG (Translator): Tomato Fields (Champ de tomates), 10 SARAH BISHOP, HEFEDH ZANINA (Translator): Dear John (Cher John), 11 RYAN BUTZ (Translator): Basho\u27s Haiku, Issa\u27s Haiku, 12-13 JENNIFER HUMBERT, FADOUA EL BOUAMRAOUI (Translator): Pressed Lips (Levres Serrees), 15 ADELE REEVES (Translator): Contemporary song by Mr. Children, 16-17 BRODY PAGEL, GRACE DUGAR (Translator): The Lizard King (Le Roi Lezard), 18 JIMMY PIPKIN (Translator): In Love with You, 19 MOLLY ROSCOE: Saturday Night at Rusty\u27s (Samedi Soir a Rusty\u27s), 20 CHARLES O\u27KEEFE: Photo, 21 MATT MESSMER (Translator): Waseda University School Song, 22-23 TIMOTHY COOPER: Wenn du grosh bist… (When you\u27re Tall…), 24 DAVID HARMAN: Der Dunkle Stern (The Dark Star), 25 ANN TOWNSEND, JUDY COCHRAN (Translator): From a Window (D\u27une Fenetre), 26-27 SARA CAHILL: El sauce lloron (The Weeping Willow), 28-32 CHARLES O\u27KEEFE: Photo, 30 JENNIFER HUMBERT, MATT BISHOP: Past, Present (passe, present), 33 CAROL GENEYA KAPLAN, FADOUA EL BOUAMRAOUI (Translator): Une Autre Femme (Another Woman), 34-35 CHARLES O\u27KEEFE: Photo, 36 ANN TOWNSEND, JUDY COCHRAN (Translator): The Mowers (Les Faucheurs), 37 PRISCILLA PATON: Photo, 38 GONZALO TUESTA: La Grande Dame De Paris (The Great Lady of Paris), 39 SARAH PILLERDORF (Translator): Japanese Cartoons by Tezuka Osamu, 41-45 DANIELLE GERKEN: Schuhe der Heimat (Boots of Home), 47 CURTIS PLOWGIAN: Le peste de la langue francaise, 48-52 PRISCILLA PATON: Photo, 50 ZANE HOUSEHOLDER: Vive la Republique! (Film), 54 JENNIFER ZIMMER: EL tenis y las frustraciones (Tennis and Frustrations), La tumba de Ben (Ben\u27s Grave), 56-57 AUTUMN LOTZE: Times Square in the rain, 58-59 CHARLES O\u27KEEFE: Photo, 60 STEPHEN M. JULKA: Colors of the Earth, 61 THOMAS BRESSOUD: Java, 62 ERIC NELSON: World, 63 SARAH CLAPP (Translator): At a long day\u27s end (Natsume Soseki), A friend has come and is now leaving, Eating persimmons (Masaoka Shiki), 64 CHARLES O\u27KEEFE: Photo, 65 JOHN BURZYNSKI, MEGAN FETTER (Translator): Home is where the heart is, 66 RICHARD BANAHAN: Photo, 67 KIM FREEMAN: Baltimore, 68 JACOB RIDRIGUEZ-NOBLE: Home (Heimat), 69 SUZANNE KENNEDY: Oft verberge ich mich (Oft I hide myself), 70 RICHARD BANAHAN: Photo, 7

    Research on Teaching and Learning Mathematics at the Tertiary Level:State-of-the-art and Looking Ahead

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    This topical survey focuses on research in tertiary mathematics education, a field that has experienced considerable growth over the last 10 years. Drawing on the most recent journal publication as well as the latest advances from recent high quality conference proceedings, our review culls out the following five emergent areas of interest: mathematics teaching at the tertiary level; the role of mathematics in other disciplines; textbooks, assessment and students’ studying practices; transition to the tertiary level; and theoretical-methodological advances. We conclude the survey with a discussion of some potential ways forward for future research in this new and rapidly developing domain of inquiry

    Building a Virtually Fault-Tolerant System

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    All schemes for implementing fault-tolerance involve some form of replication. Replicas are assumed to fail independently, and each replica performs the same computation. Replicas may execute in parallel or, in the case of primary-backup protocols, in response to failures. Replication only works, however, if replicas are coordinated. Each replica must receive the same inputs in the same order, and each must be deterministic in its response to these inputs. The key engineering issue that the designer of a fault-tolerant computing system must address is deciding where in the system to implement replica coordination. Some of the alternatives include implementing replica coordination in the processor or network hardware, in the operating system, or in the applications software. A new solution is to implement replica coordination by augmenting the hypervisor of a virtual-machine manager and coordinating a primary virtual machine with its backup. This hypervisor-based fault-tolerance is transparent to the operating system and the applications programs executing above the hypervisor. In addition, this selection allows a single hypervisor design to be used for all processors in an architectural family. In this dissertation, we describe the protocols to implement hypervisor-based fault-tolerance. To assess the practicality of the approach, we constructed a prototype system for HP's PA-RISC architecture. The prototype hypervisor supports a single HP-UX virtual machine and implements the replica-coordination protocols. The prototype hypervisor has been instrumented to measure the overhead of all hypervisor-based activity. We have measured the performance of CPU-intensive workloads and disk I/O intensive workloads in this architecture and have built models allowing us to predict the performance for some alternative architectures

    Introduction to Data Systems: Building from Python

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    Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form. The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the “data-aptitude” built by the material in this book

    Isis Distributed Systems

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    Protocols to implement a fault-tolerant computing system are described. These protocols augment the hypervisor of a virtualmachine manager and coordinate a primary virtual machine with its backup. The result is a fault-tolerant computing system. No modification to hardware, operating system, or application programs is required. Aprototype system was constructed for HP’s PA-RISC instruction-set architecture. The prototype was able to run programs about a factor of 2 slower than a bare machine would. 1

    Session scribe notes for Twenty-First ACM Symposium on Operating Systems Principles

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