Geography (GEOG) |
107 Condon, 541-346-4555
College of Arts & Sciences
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Course Data
| GEOG 281 The World & Big Data |
4.00 cr. |
| Explores technical foundations and social and economic applications of big data along the “5V” dimensions of volume, variety, velocity, veracity, and visualization. |
| Grading Options: |
Optional; see degree guide or catalog for degree requirements
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| Instructor: |
Deitz S |
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 Course Fees: |
$25.00 per credit |
| Course Materials |
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CRN |
Avail |
Max |
Time |
Day |
Location |
Instructor |
Notes |
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35414 |
1 |
50 |
- |
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ASYNC WEB |
Deitz S |
$ |
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Academic Deadlines
| Deadline |
Last day to: |
| March 31: |
Process a complete drop (100% refund, no W recorded) |
| April 6: |
Drop this course (100% refund, no W recorded; after this date, W's are recorded) |
| April 6: |
Process a complete drop (90% refund, no W recorded; after this date, W's are recorded) |
| April 7: |
Process a complete withdrawal (90% refund, W recorded) |
| April 7: |
Withdraw from this course (100% refund, W recorded) |
| April 8: |
Add this course |
| April 8: |
Last day to change to or from audit |
| April 14: |
Process a complete withdrawal (75% refund, W recorded) |
| April 14: |
Withdraw from this course (75% refund, W recorded) |
| April 21: |
Process a complete withdrawal (50% refund, W recorded) |
| April 21: |
Withdraw from this course (50% refund, W recorded) |
| April 28: |
Process a complete withdrawal (25% refund, W recorded) |
| April 28: |
Withdraw from this course (25% refund, W recorded) |
| May 19: |
Withdraw from this course (0% refund, W recorded) |
| May 19: |
Change grading option for this course |
 | You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, please contact the Office of Academic Advising, 101 Oregon Hall, 541-346-3211 (8 a.m. to 5 p.m., Monday through Friday). If you are attempting to completely withdraw after business hours, and have difficulty, please contact the Office of Academic Advising the next business day. |
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Expanded Course Description
| Today’s world is driven by data. Political, economical, and environmental decision making is increasingly based on larger data sets, and advertisers and services like Google personalize what you see and are offered based on data about you and “customers like you.” Moreover, social media allow the public to directly participate in decision making, disaster reporting, and humanitarian interventions. In order to do this, massive amounts of data need to be collected, separated into relevant and irrelevant forms, and processed into classification mechanisms able to categorize incoming new data in real-time. Location, time, and geographic parameters are among the most important indicators within these data spaces and among the most ancient. Maps, in fact, can be seen as powerful visualizations storing and conveying large amounts of geographic data, and geographic information systems were among the first problem domains for research in “Very Large Databases.” Moreover, geography research continues to create requirements and solutions for spatial and temporal representations in the next generation of Big Data systems. This course is an introduction to the field of Big Data research from a socio-technical systems perspective. It explains historical roots, social and economic application areas, as well as technical fundamentals. The area is explored along the dimensions of the “five Vs”: volume, variety, velocity, veracity, and visualization. |
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