Cited By
View all- Bhatele KSinghal SMithora MSharma S(2020)Data Analysis on Global StratificationMulti-Criteria Decision Analysis in Management10.4018/978-1-7998-2216-5.ch015(355-378)Online publication date: 2020
Introduction to Data Science as a Pathway to Further Study in Computing
Page 303
Abstract
Several institutions have recently introduced Introduction to Data Science courses that involve a substantial programming component and do not require CS1 as a prerequisite. Programming and computational thinking are central to the emerging discipline of data science, and so there is overlap between traditional CS1 courses and Introduction to DS.
Partly because of the evident societal significance of data science and because data science does not have the problematic reputation of computer science, Intro to DS can attract new and diverse audiences that may not have been interested in taking CS1.
We explore Intro to DS as a possible alternative path into computing: what are the learning goals in Intro to DS that involve programming and/or computational thinking? How generalizable are the problems students solve in Intro to DS to what students would encounter in future studies? Is it feasible for students to pursue a data science sequence rather than CS1-CS2 and be prepared for a career that uses data science? To what extent can a pathway through a data science sequence diversify the population of students who graduate from degree programs in computer science and data science?
We survey the Introduction to Data Science courses offered in North American post-secondary education, and focus on a data science sequence that uses the R programming language and does not require CS1 at an R1 institution as a case study.
Index Terms
- Introduction to Data Science as a Pathway to Further Study in Computing
Recommendations
Lessons learned from a PLTL-CS program
SIGCSE '11: Proceedings of the 42nd ACM technical symposium on Computer science educationThe Peer-Led Team Learning (PLTL) approach has previously been shown to be effective in recruiting and retaining students, particularly under-represented students, in undergraduate introductory CS courses. In PLTL, small groups of students are led by an ...
Science Bound: A success story for STEM Education
FIE '12: Proceedings of the 2012 IEEE Frontiers in Education Conference (FIE)At the 2005 Frontiers in Education Conference, members of Purdue University and Indiana University Purdue University Indianapolis (IUPUI) presented the results of the first year of the Purdue Science Bound program. Science Bound was created to give ...
Imprinting community college computer science education with software engineering principles: work in progress
ACMSE '10: Proceedings of the 48th annual ACM Southeast ConferenceAlthough the two-year curriculum guide includes coverage of all eight software engineering core topics, the computer science courses taught in the Alabama community colleges limit student exposure to the programming, or coding, phase of the software ...
Comments
Information & Contributors
Information
Published In
July 2019
375 pages
ISBN:9781450361859
DOI:10.1145/3291279
- General Chairs:
- Robert McCartney,
- Andrew Petersen,
- Anthony Robins,
- Adon Moskal,
- Program Chairs:
- Robert McCartney,
- Anthony Robins
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 July 2019
Check for updates
Author Tags
Qualifiers
- Poster
Conference
ICER '19
Sponsor:
ICER '19: International Computing Education Research Conference
August 12 - 14, 2019
Toronto ON, Canada
Acceptance Rates
ICER '19 Paper Acceptance Rate 28 of 137 submissions, 20%;
Overall Acceptance Rate 189 of 803 submissions, 24%
Upcoming Conference
ICER 2025
- Sponsor:
- sigcse
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 126Total Downloads
- Downloads (Last 12 months)4
- Downloads (Last 6 weeks)0
Reflects downloads up to 01 Mar 2025
Other Metrics
Citations
Cited By
View all- Bhatele KSinghal SMithora MSharma S(2020)Data Analysis on Global StratificationMulti-Criteria Decision Analysis in Management10.4018/978-1-7998-2216-5.ch015(355-378)Online publication date: 2020
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in