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DTSTART:20211107T020000
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UID:calendar.2068.events_uoft_date.0@www.statistics.utoronto.ca
CREATED:20220201T201407Z
DESCRIPTION:\nWhen and Where: \nMonday, February 07, 2022 3:30 pm to 4:30
  pm \n Online \n\nSpeakers \nAllison Horst \n\nDescription: \nOver the pas
 t decade I have developed, scrapped, redesigned and raised a number of e
 nvironmental data science courses at UC Santa Barbara – and I have failed 
 often along the way. In this talk, I reflect on 5 data science teaching l
 essons that I have learned (and continue to learn) the hard way, then rec
 ommend strategies to avoid (or at least feel less alone in experiencing) t
 he failures that inspired them. From how to handle the firehose of “must-a
 dd” new tools to courses in such a quickly advancing field, to how to bec
 ome a superhero at failing publicly during live-coding lessons, I share p
 ersonal stories of failure and professional growth that have improved my t
 eaching, my courses, and my work-life balance.Please join the event.Abou
 t Allison HorstAllison Horst is an Assistant Teaching Professor at the Bre
 n School of Environmental Science and Management at UC Santa Barbara, whe
 re she has been teaching math, statistics, and environmental data scienc
 e courses since 2013. She studied engineering (BS in Chemical Engineering\
 , and MS in Mechanical Engineering) before earning her PhD from the Bren S
 chool in 2012 for her research on the toxicity and interactions of enginee
 red nanoparticles with soil microbes. She contributes to open educational 
 resources in data science through software (e.g. the palmerpenguins R pack
 age), open workshop and course materials, and her library of original il
 lustrations for data science and statistics education. From 2019 – 2020, 
 she was RStudio’s first Artist-in-Residence. Allison co-founded the Santa 
 Barbara Chapter of R-Ladies in 2018 and is an active participant in severa
 l data science communities of practice. She enjoys fly fishing and finding
  animal tracks with her dog, Teddy. \n\nContact Information: \n CANSSI On
 tario \n\nCategories \n Data Science ARES \n\nAudiences \n FacultyGraduate
  Students
DTSTART;TZID=America/New_York:20220207T153000
DTEND;TZID=America/New_York:20220207T163000
LAST-MODIFIED:20220201T201527Z
SUMMARY:5 Data Science Teaching Lessons Learned the Hard Way
URL;TYPE=URI:https://www.statistics.utoronto.ca/events/5-data-science-teach
 ing-lessons-learned-hard-way
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