Order Total (1 Item Items):
Shipping Destination:
Composition Big Data (10 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (10)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (8)
- As New, Fine or Near Fine (2)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (1)
- Seller-Supplied Images (4)
- Not Print on Demand (10)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
I'm A Data Scientist I Turn Boring Info Into Total Awesomeness: Data Analyst Notebook Data Scientist Agenda Big Data Scientists Planner Database . Students Composition Book (140 Pages)
Language: English
Published by Independently published, 2019
ISBN 10: 1096088800 ISBN 13: 9781096088806
Paperback. Condition: Brand New. 140 pages. 9.00x6.00x0.36 inches. In Stock.
-
Composition and Big Data
Book 65 of 87: Composition, Literacy, and CultureLanguage: English
Published by University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Seller: Michener & Rutledge Booksellers, Inc., Baldwin City, KS, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: As New. Dust Jacket Condition: As New. Text clean and tight; Composition, Literacy, And Culture; 8vo 8" - 9" tall; 328 pages.
-
Composition and Big Data
Book 65 of 87: Composition, Literacy, and CultureLanguage: English
Published by University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Condition: As New. Unread book in perfect condition.
-
Composition and Big Data
Book 65 of 87: Composition, Literacy, and CultureLanguage: English
Published by University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Condition: New.
-
Composition and Big Data (Hardcover)
Book 65 of 87: Composition, Literacy, and CultureLanguage: English
Published by University of Pittsburgh Press, Pittsburgh PA, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Hardcover. Condition: new. Hardcover. In a data-driven world, anything can be data. As the techniques and scale of data analysis advance, the need for a response from rhetoric and composition grows ever more pronounced. It is increasingly possible to examine thousands of documents and peer-review comments, labor-hours, and citation networks in composition courses and beyond. Composition and Big Data brings together a range of scholars, teachers, and administrators already working with big-data methods and datasets to kickstart a collective reckoning with the role that algorithmic and computational approaches can, or should, play in research and teaching in the field. Their work takes place in various contexts, including programmatic assessment, first-year pedagogy, stylistics, and learning transfer across the curriculum. From ethical reflections to database design, from corpus linguistics to quantitative autoethnography, these chapters implement and interpret the drive toward data in diverse ways. AUTHORS: Amanda Licastro is the emerging & digital literacy instructional designer at the University of Pennsylvania. Her research explores the intersection of technology and writing, including book history, dystopian literature, and digital humanities, with a focus on multimodal composition and extended reality. Benjamin Miller is assistant professor of composition in the English Department at the University of Pittsburgh, focusing on digital research and pedagogy. He is the author of the poetry collection Without Compass. This book interprets and implements the drive toward data in diverse ways. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Composition And Big Data
Book 65 of 87: Composition, Literacy, and CultureLanguage: English
Published by University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
-
Composition and Big Data
Book 65 of 87: Composition, Literacy, and CultureLanguage: English
Published by Univ of Pittsburgh Pr, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Hardcover. Condition: Brand New. 272 pages. 9.00x6.00x1.40 inches. In Stock.
-
Composition And Big Data
Book 65 of 87: Composition, Literacy, and CultureLanguage: English
Published by University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Condition: New.
-
Composition and Big Data
Book 65 of 87: Composition, Literacy, and CultureLanguage: English
Published by UNIV OF PITTSBURGH PR, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Gebunden. Condition: New. This book interprets and implements the drive toward data in diverse ways.Über den AutorAmanda Licastro is the emerging & digital literacy instructional designer at the University of Pennsylvania. Her research explores.
-
Composition and Big Data
Book 65 of 87: Composition, Literacy, and CultureLanguage: English
Published by University Of Pittsburgh Press Nov 2021, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Buch. Condition: Neu. Neuware - In a data-driven world, anything can be data. As the techniques and scale of data analysis advance, the need for a response from rhetoric and composition grows ever more pronounced. It is increasingly possible to examine thousands of documents and peer-review comments, labor-hours, and citation networks in composition courses and beyond. Composition and Big Data brings together a range of scholars, teachers, and administrators already working with big-data methods and datasets to kickstart a collective reckoning with the role that algorithmic and computational approaches can, or should, play in research and teaching in the field. Their work takes place in various contexts, including programmatic assessment, first-year pedagogy, stylistics, and learning transfer across the curriculum. From ethical reflections to database design, from corpus linguistics to quantitative autoethnography, these chapters implement and interpret the drive toward data in diverse ways.
