skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: Discussing the History of Ideas in a Data Science Seminar
As one part of an NSF-sponsored Data Science Fellowship at Cal Poly, San Luis Obispo, a group of faculty offered a unique one-unit quarter-long seminar on the history of ideas behind the core principles of Data Science. We present an overview of this seminar, its learning objectives, and outcomes and lessons learned.  more » « less
Award ID(s):
1924008
PAR ID:
10502362
Author(s) / Creator(s):
; ; ; ; ; ; ;
Publisher / Repository:
ACM
Date Published:
Journal Name:
SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education
Volume:
2
ISBN:
9781450394338
Page Range / eLocation ID:
1328 to 1328
Format(s):
Medium: X
Location:
Toronto ON Canada
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; (, International Conference on Information Systems)
    The Python Foundations seminar emphasizes a hands-on approach and is designed to reach a diverse student population to provide them with the entry-level programming skills required in data science. The creation of the seminar materials has been funded by a three-year federal grant and has followed a systematic approach to enhance the student learning experience and raise student awareness of data science. The seminar materials—structured in three parts: pre-seminar, live seminar, and post-seminar—are licensed under the Creative Commons Attribution-ShareAlike 4.0 International license to encourage adoption by any institution. To foster interest in the seminar, students have the possibility to earn a digital badge attesting to their newly acquired skills. 
    more » « less
  2. (, Dagstuhl reports)
    The report documents the program and outcomes of Dagstuhl Seminar 18061 "Evidence About Programmers for Programming Language Design". The seminar brought together a diverse group of researchers from the fields of computer science education, programming languages, software engineering, human-computer interaction, and data science. At the seminar, participants discussed methods for designing and evaluating programming languages that take the needs of programmers directly into account. The seminar included foundational talks to introduce the breadth of perspectives that were represented among the participants; then, groups formed to develop research agendas for several subtopics, including novice programmers, cognitive load, language features, and love of programming languages. The seminar concluded with a discussion of the current SIGPLAN artifact evaluation mechanism and the need for evidence standards in empirical studies of programming languages. 
    more » « less
  3. ; ; (, Pre-ICIS SIGDSA Symposium on Analytics and AI for a Sustainable and Resilient Future)
    The Nation's research enterprise faces a shortage of data scientists. Expanding the pipeline of data science students, particularly from underrepresented populations, requires educational institutions to increase awareness of data science and inspire a passion for data in students as they begin their academic careers. In this tutorial we discuss the development and delivery of a free seminar designed to provide hands-on lessons in the use of both Apache Spark and Jupyter notebooks to students from any academic background in an approachable, no-risk environment. An explanation of the seminar resources, exercises, and implementation guidelines are included, as are lessons learned from several successful seminars held both in-person and virtually at two institutions of high education. 
    more » « less
  4. ; ; ; ; ; ; ; ; ; ; et al (, Oceanography)
    Understanding the history of how we studied our ocean in the past and how we study it now will help us develop approaches to make future oceanographic knowledge production more diverse, accessible, and inclusive. The motto of the UN Decade of Ocean Science for Sustainable Development (2021–2030) is, “The ocean we need for the future we want” (Singh et al., 2021). The Ocean Decade gives the ocean sciences community an opportunity to change the way it conducts research, to use ocean science to support sustainable development, and to energize the ocean sciences for future generations. With these goals in mind, we developed an introductory level, student-led graduate seminar that builds on the Ocean Decade framework. A research cruise involving seminar participants followed the seminar sessions. Here, we discuss how we conducted the seminar and highlight directions that are needed to energize future generations of ocean leaders and make ocean science more equitable, inclusive, and accessible. 
    more » « less
  5. ; ; ; ; (, PLOS ONE)
    Hacisalihoglu, Gokhan (Ed.)
    In many areas of science, the ability to use computers to process, analyze, and visualize large data sets has become essential. The mismatch between the ability to generate large data sets and the computing skill to analyze them is arguably the most striking within the life sciences. The Digital Image and Vision Applications in Science (DIVAS) project describes a scaffolded series of interventions implemented over the span of a year to build the coding and computing skill of undergraduate students majoring primarily in the natural sciences. The program is designed as a community of practice, providing support within a network of learners. The program focus, images as data, provides a compelling ‘hook’ for participating scholars. Scholars begin the program with a one-credit spring semester seminar where they are exposed to image analysis. The program continues in the summer with a one-week, intensive Python and image processing workshop. From there, scholars tackle image analysis problems using a pair programming approach and can finish the summer with independent research. Finally, scholars participate in a follow-up seminar the subsequent spring and help onramp the next cohort of incoming scholars. We observed promising growth in participant self-efficacy in computing that was maintained throughout the project as well as significant growth in key computational skills. DIVAS program funding was able to support seventeen DIVAS over three years, with 76% of DIVAS scholars identifying as women and 14% of scholars identifying as members of an underrepresented minority group. Most scholars (82%) entered the program as first year students, with 94% of DIVAS scholars retained for the duration of the program and 100% of scholars remaining a STEM major one year after completing the program. The outcomes of the DIVAS project support the efficacy of building computational skill through repeated exposure of scholars to relevant applications over an extended period within a community of practice. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email