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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[[HCDS_(Fall_2017)/Day_8_plan|Day 8 plan]] | [[HCDS_(Fall_2017)/Day_8_plan|Day 8 plan]] | ||
;User experience and big data: ''prototyping and user testing; benchmarking and iterative evaluation; UI design for data science'' | |||
;User experience and big data: ''user | |||
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*Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, and Joseph A. Konstan. 2014. ''[https://md.ekstrandom.net/research/pubs/listcmp/listcmp.pdf User perception of differences in recommender algorithms].'' In Proceedings of the 8th ACM Conference on Recommender systems (RecSys '14). ACM, New York, NY, USA, 161-168. DOI: https://doi.org/10.1145/2645710.2645737 | *Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, and Joseph A. Konstan. 2014. ''[https://md.ekstrandom.net/research/pubs/listcmp/listcmp.pdf User perception of differences in recommender algorithms].'' In Proceedings of the 8th ACM Conference on Recommender systems (RecSys '14). ACM, New York, NY, USA, 161-168. DOI: https://doi.org/10.1145/2645710.2645737 | ||
* Chen, N., Brooks, M., Kocielnik, R., Hong, R., Smith, J., Lin, S., Qu, Z., Aragon, C. ''[https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1254&context=hicss-50 Lariat: A visual analytics tool for social media researchers to explore Twitter datasets].'' Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS), Data Analytics and Data Mining for Social Media Minitrack (2017) | * Chen, N., Brooks, M., Kocielnik, R., Hong, R., Smith, J., Lin, S., Qu, Z., Aragon, C. ''[https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1254&context=hicss-50 Lariat: A visual analytics tool for social media researchers to explore Twitter datasets].'' Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS), Data Analytics and Data Mining for Social Media Minitrack (2017) | ||
https://depts.washington.edu/hdsl/wp-content/uploads/2016/10/Lariat_HICSS_2017.pdf | |||
;Homework assigned | ;Homework assigned | ||
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;Readings assigned | ;Readings assigned | ||
;Homework assigned | ;Homework assigned | ||
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;Resources | ;Resources | ||
<br/> | <br/> | ||
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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'' | ||