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<div class="elementToProof"><span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);">Dear ACMS Majors,</span></div>
<div class="elementToProof"><span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);"><br>
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<div class="elementToProof"><span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="ContentPasted0">Welcome to winter quarter! <span style="background-color:rgb(255, 255, 255);display:inline !important" class="FluidPluginCopy ContentPasted2">We
hope you had a great winter break. We are making an effort to reduce the number of emails you receive from our office. We do receive a lot of announcements and have been posting those here: </span><a href="https://uwmathandacms.wordpress.com/blog/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-safelink="true" data-linkindex="0" style="margin:0px" class="ContentPasted2">https://uwmathandacms.wordpress.com/blog/</a></span></div>
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<div class="elementToProof"><span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="ContentPasted0">This quarter we have our ACMS Seminar course running, MATH 282 (sln 17431)
for 1 credit cr/nc grading. The seminar will meet just a few times in the quarter on Thursdays from 1-1:50pm when we have a guest speaker. </span></div>
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</span></div>
<div class="elementToProof"><span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="ContentPasted0">Our first guest speaker is on </span></div>
<div class="elementToProof"><span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="ContentPasted0">Thursday, January 12 </span></div>
<div class="elementToProof"><span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="ContentPasted0"><a href="https://www.me.washington.edu/facultyfinder/steve-brunton" title="https://www.me.washington.edu/facultyfinder/steve-brunton" data-loopstyle="link" id="LPlnkOWALinkPreview">Professor
Steve Brunton</a> from Mechanical Engineering to talk about machine learning and dynamic systems</span></div>
<div class="elementToProof"><span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="ContentPasted0">1-1:50pm in </span><a href="https://www.washington.edu/students/maps/map.cgi?CSE2" class="ContentPasted3" style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt;" data-loopstyle="link">CSE2</a><span style="color: rgb(0, 0, 0); font-family: Arial, Helvetica, sans-serif; font-size: 10pt;"> G20</span></div>
<div class="elementToProof"><span style="color: rgb(0, 0, 0); font-family: Arial, Helvetica, sans-serif; font-size: 10pt;">All ACMS majors are encouraged to attend, even if not enrolled in the seminar.</span></div>
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<p style="margin:0px" class="FluidPluginCopy"><span style="font-kerning:none" class="ContentPasted4">Title: Machine Learning for Scientific Discovery</span></p>
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<p style="margin:0px" class="FluidPluginCopy"><span style="font-kerning:none" class="ContentPasted4">Abstract: Accurate and efficient nonlinear dynamical systems models are essential understand, predict, estimate, and control complex natural and engineered
systems. In this talk, I will explore how machine learning may be used to develop these models purely from measurement data. We will emphasize techniques that yield models that are interpretable and generalizable, capturing the essential “physics” of the
system. We also discuss the importance of learning effective coordinate systems in which the dynamics may be learned. This machine learning modeling approach will be demonstrated on a range of challenging modeling problems, for example in fluid dynamics.
</span><span style="font-kerning:none;color:#000000" class="ContentPasted4">Because fluid dynamics is central to transportation, health, and defense systems, we will emphasize the importance of machine learning solutions that are interpretable, explainable,
generalizable, and that respect known physics.</span></p>
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<a target="_blank" id="LPUrlAnchor826312" href="https://www.me.washington.edu/facultyfinder/steve-brunton" style="text-decoration: none; color: var(--themePrimary);" data-loopstyle="link">Steve Brunton | Mechanical Engineering</a></div>
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Education. Ph.D. in Mechanical and Aerospace Engineering, Princeton University, 2012; B.S. in Mathematics, Minor in Control and Dynamical Systems, California ...</div>
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www.me.washington.edu</div>
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<div class="elementToProof"><span style="background-color: rgba(0, 0, 0, 0); color: rgb(0, 0, 0); font-family: Arial, Helvetica, sans-serif; font-size: 10pt;">Best regards,</span><br>
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