Editing HCDS (Fall 2017)/Schedule
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=== Week 1: September 28 === | === Week 1: September 28 === | ||
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=== Week 6: November 2 === | === Week 6: November 2 === | ||
[[HCDS_(Fall_2017)/Day_6_plan|Day 6 plan]] | [[HCDS_(Fall_2017)/Day_6_plan|Day 6 plan]] | ||
;Mixed-methods research: ''Big data vs thick data; qualitative research in data science '' | ;Mixed-methods research: ''Big data vs thick data; qualitative research in data science '' | ||
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=== Week 8: November 16 === | === Week 8: November 16 === | ||
[[HCDS_(Fall_2017)/Day_8_plan|Day 8 plan]] | [[HCDS_(Fall_2017)/Day_8_plan|Day 8 plan]] | ||
;User experience and big data: ''user-centered design and evaluation of recommender systems; UI design for data science, collaborative visual analytics'' | ;User experience and big data: ''user-centered design and evaluation of recommender systems; UI design for data science, collaborative visual analytics'' | ||
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;Readings assigned | ;Readings assigned | ||
* Hill, B. M., Dailey, D., Guy, R. T., Lewis, B., Matsuzaki, M., & Morgan, J. T. (2017). Democratizing Data Science: The Community Data Science Workshops and Classes. In N. Jullien, S. A. Matei, & S. P. Goggins (Eds.), ''Big Data Factories: Scientific Collaborative approaches for virtual community data collection, repurposing, recombining, and dissemination''. New York, New York: Springer Nature. [[https://mako.cc/academic/hill_etal-cdsw_chapter-DRAFT.pdf Preprint/Draft PDF]] | * Hill, B. M., Dailey, D., Guy, R. T., Lewis, B., Matsuzaki, M., & Morgan, J. T. (2017). Democratizing Data Science: The Community Data Science Workshops and Classes. In N. Jullien, S. A. Matei, & S. P. Goggins (Eds.), ''Big Data Factories: Scientific Collaborative approaches for virtual community data collection, repurposing, recombining, and dissemination''. New York, New York: Springer Nature. [[https://mako.cc/academic/hill_etal-cdsw_chapter-DRAFT.pdf Preprint/Draft PDF]] | ||
;Homework assigned | ;Homework assigned | ||
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=== Week 10: November 30 === | === Week 10: November 30 === | ||
[[HCDS_(Fall_2017)/Day_10_plan|Day 10 plan]] | [[HCDS_(Fall_2017)/Day_10_plan|Day 10 plan]] | ||
;Communicating methods, results, and implications: translating for non-data scientists '' | ;Communicating methods, results, and implications: translating for non-data scientists '' | ||
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;Readings assigned | ;Readings assigned | ||
;Homework assigned | ;Homework assigned | ||
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;Resources | ;Resources | ||
* | * ''one'' | ||
<br/> | <br/> | ||
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[[HCDS_(Fall_2017)/Day_11_plan|Day 11 plan]] | [[HCDS_(Fall_2017)/Day_11_plan|Day 11 plan]] | ||
;Future of human centered data science: | ;Future of human centered data science: ''case studies from research, industry, and policy; final presentations'' | ||