BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Ankur Moitra (MIT) DTSTART:20240319T160000Z DTEND:20240319T170000Z DTSTAMP:20260423T004914Z UID:ESME/35 DESCRIPTION:Title: Li near Algebra and Optimization\nby Ankur Moitra (MIT) as part of Online Seminar On Undergraduate Mathematics Education\n\n\nAbstract\nIn Fall 202 0\, we piloted a new version of introductory linear algebra at MIT (and ha ve been teaching it ever since). Our goal was to emphasize modeling and co mputation\, and not just problems that have a recipe-driven solution. For example\, when you come across a problem in another domain\, can you recog nize when it is just linear algebra in disguise? Such examples help studen ts better appreciate the expressive power of the abstractions they are lea rning. We also integrate hands-on projects so that students can put what t hey've learned into action. In this talk I will give some salient examples \, report on our experiment\, and what we've learned along the way. I will also discuss how our course came about (spoiler: It was driven by growing demand for a new data science major).\n LOCATION:https://researchseminars.org/talk/ESME/35/ END:VEVENT END:VCALENDAR