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Bootstrap: Data Science Pathway
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CC BY-NC-ND
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In Bootstrap:Data Science, students form their own questions about the world around them, analyze data using multiple methods, and write a research paper about their findings. The module covers functions, looping and iteration, data visualization, linear regression, and more. Social studies, science, and business teachers can utilize this module to help students make inferences from data. Math teachers can use this module to introduce foundational concepts in statistics, and it is aligned to state and national standards.

Subject:
Applied Science
Computer Science
Education
Mathematics
Social Science
Statistics and Probability
Material Type:
Activity/Lab
Assessment
Data Set
Full Course
Homework/Assignment
Lecture Notes
Lesson Plan
Teaching/Learning Strategy
Author:
Ben Lerner
Dorai Sitaram
Emma Youndtsmith
Emmanuel Schanzer
Flannery Denny
Jennifer Poole
Joe Politz
Nancy Pfenning
Shriram Krishnamurthi
Date Added:
08/31/2020
Programming Languages: Application and Interpretation
Conditional Remix & Share Permitted
CC BY-NC-SA
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Unlike some other textbooks, this one does not follow a top-down narrative. Rather it has the flow of a conversation, with backtracking. We will often build up programs incrementally, just as a pair of programmers would. We will include mistakes, not because I don’t know the answer, but because this is the best way for you to learn. Including mistakes makes it impossible for you to read passively: you must instead engage with the material, because you can never be sure of the veracity of what you’re reading.

The main programming language used in this book is Racket. Like with all operating systems, however, Racket actually supports a host of programming languages, so you must tell Racket which language you’re programming in.

This textbook has been used in classes at: Brown University, Cal Poly, Columbus State University, Northeastern University, NYU, Reed College, UC-San Diego, UC-Santa Cruz, University of Rhode Island, University of Utah, Westmont College, Williams College, and Worcester Polytechnic Institute.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Brown University
Author:
Shriram Krishnamurthi
Date Added:
02/18/2015