Topics in Journalism: Introduction to Data Journalism
QAC 250
Spring 2018 not offered
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| Crosslisting:
CSPL 250, WRCT 250 |
| Certificates: Applied Data Science, Writing |
This course serves as an introduction to the field of data journalism. Students will learn to apply the processes of a data scientist to journalism using the R software platform. Through case studies and practical assignments, students will gain knowledge of data journalism's rich history and potential, while practicing modern, hands-on methods in acquiring, exploring, analyzing, and reporting about data. By the end of the course, students will be able to produce polished data stories and be prepared to continue pursuing their interests in either journalism or data science. |
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| Credit: 1 |
Gen Ed Area Dept:
SBS QAC |
| Course Format: Lecture / Discussion | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: None |
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Fulfills a Requirement for: (CADS)(DATA-MN)(HRAD-MN)(PSYC) |
Major Readings:
A. Alberto, THE TRUTHFUL ART: DATA, CHARTS, AND MAPS FOR COMMUNICATION
D. Wong, THE WALL STREET JOURNAL GUIDE TO INFORMATION GRAPHICS: THE DOS AND DON'TS OF PRESENTING DATA, FACTS, AND FIGURES
J. Gray, L. Chambers, & L. Bounegru, THE DATA JOURNALISM HANDBOOK
S. Cohen, NUMBERS IN THE NEWSROOM: USING MATH AND STATISTICS IN NEWS
C. Wheelan, NAKED STATISTICS: STRIPPING THE DREAD FROM THE DATA
D. Huff, HOW TO LIE WITH STATISTICS
Note:
The Data Journalism Handbook is freely available online. Electronic and hard copy versions of all books will be available on reserve in the Olin Library.
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Examinations and Assignments:
In addition to class participation the course requirements may include:
a mid-term data analysis project;
quizzes and weekly writing/data analysis assignments;
final project: written article based on original data based reporting |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 0 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
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