Livestream link available here! https://www.youtube.com/watch?v=DLH2dYUkDqg
On Wed, Dec 4, 2019 at 10:31 AM Matthew Johnson <mat...@cs.washington.edu> wrote: > Reminder that this will begin in 5 minutes, in CSE2-371! > > On Mon, Dec 2, 2019 at 8:03 PM Matthew Johnson <mat...@cs.washington.edu> > wrote: > >> Hello! >> >> We will have Josh Hug from UC Berkeley joining us this week for a special >> change seminar on Wednesday at 10:30 in CSE2-371. (There will not be a >> speaker on Tuesday.) >> >> We hope to see you all there, but if you can’t make it we will send out a >> livestream link before the talk on Wednesday as well! >> >> *Embedding Social Impact Awareness into Introductory CS Education* >> >> *Abstract* >> Computer science and data science education provide our students with >> tremendous power and responsibility immediately after graduation. Many of >> our graduates find themselves embedded in organizations like Facebook, >> Google, and Amazon that shape the destinies of billions of people around >> the world. As university instructors, we do a great job providing the >> technical foundation for our students' future careers, but I believe that >> we could do a much better job helping students chart the broader narrative >> arcs of their lives. >> >> Berkeley has long had a dedicated Social Implications of Computing >> Course. In this class, we discuss the impacts of computing on all aspects >> of society, and have students discuss and reflect on some of the big >> ethical challenges faced by technical workers and entrepreneurs, e.g. free >> policies on social media platforms. Recently, we have begun to integrate >> such bigger picture discussions into our technical coursework. In this >> talk, I will describe these efforts to integrate professional development, >> career goal reflection, and ethics into three core technical courses in UC >> Berkeley's CS and Data Science Majors, as well as the challenges we've >> faced along the way. >> >> *Bio* >> Josh Hug is an Associate Teaching Professor in Computer Science at UC >> Berkeley. He completed his PhD in EECS at UC Berkeley in 2011, with a >> primary focus on reverse engineering of bacterial signal processing systems >> and bacterial decision making and a minor focus in education. After >> Berkeley, he taught at Princeton from 2011-2014, where he helped develop >> the Princeton Algorithms MOOC on Coursera. He joined the Berkeley EECS >> faculty in 2014. He most frequently teaches Data Structures, Data Science, >> and the Social Implications of Computing, and is the Equity and Inclusion >> Officer for CS undergraduates. His primary research interest is in learning >> at scale, especially tools and social structures for supporting struggling >> students. Before UC Berkeley, he was born, raised, and went to college in >> Texas where it was very hot and there were many terrible bugs. Prior to his >> time in the Lone Star State, he was a dispersion of random molecules, >> unassembled into any greater being. >> _______________________________________________ >> change mailing list >> change@change.washington.edu >> https://changemm.cs.washington.edu/mailman/listinfo/change >> > _______________________________________________ > change mailing list > change@change.washington.edu > https://changemm.cs.washington.edu/mailman/listinfo/change >
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