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‎images/microphone-Maike_and_Bjorn_Broskamp.jpg

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‎index.html

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@@ -436,9 +436,9 @@ <h2 id="schedule">Schedule</h2>
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<!-- QUARTERLY -->
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<td>11/20</td><td>Lecture</td>
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<td>
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Models, bias, and social impacts
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Common models and how to use them
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<ul>
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<!--<li>Reading: <a href=#">Investigative journalism on parole recommendation model</a></li>-->
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<li>Reading: <a href="misc/guest-speaker-taam.html">Preparing for guest speaker</a></li>
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</ul>
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</td>
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<td>11/27</td><td>Lecture</td>
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<td>
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Scaling to "Big Data"
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Interpretting correlation
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<!--Scaling to "Big Data"-->
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<ul>
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<li>Reading: Excerpt from Fourth Paradigm; Business Articles on Big Data</li>
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<!-- <li>Activity (110 min): <a href="activities/work.html">Work time</a></li> -->
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<td>11/27</td><td>Lab</td>
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<td>
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More data, more problems?
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Models, bias, and social impacts
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<!--More data, more problems?-->
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<ul>
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<!-- <li>Activity (50 min): <a href="activities/persistent.html">Great engineers are persistent</a></li> -->
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</ul>

‎misc/guest-speaker-taam.html

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<!DOCTYPE html>
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<html>
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<head>
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<!-- Latest compiled and minified CSS -->
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
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<!-- Optional theme -->
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css" integrity="sha384-rHyoN1iRsVXV4nD0JutlnGaslCJuC7uwjduW9SVrLvRYooPp2bWYgmgJQIXwl/Sp" crossorigin="anonymous">
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<!-- Latest compiled and minified JavaScript -->
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<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
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<link rel="stylesheet" href="../style.css" />
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<title>M1: Group Formation and Initial Questions</title>
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</head>
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<body>
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<p><a href="../index.html">Back to Homepage</a></p>
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<img src="../images/microphone-Maike_and_Bjorn_Broskamp.jpg" class="img-responsive" />
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<small>Credit: Maike and Bjorn Broskamp</small>
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<h1>Guest Speaker: Dr. Winson Taam</h1> <!--TODO: add points for each hw -->
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<div class="lead">Senior Principal Data Scientist, Microsoft Data & Decision Sciences Group</div>
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<p>
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A learning objective of this course is to understand what data scientists do in various organizational and social contexts.
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Towards this objective, we will ocassionally invite guest speakers from various data science organizaitons.
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</p>
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<p><!--TODO: Change this for a different speaker -->
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For this class, we will be joined by
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<b>Dr. Winson Taam</b>,
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from Microsoft's Data & Decision Sciences Group.
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</p>
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<h2>Preparing for the guest lecture</h2>
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<p>
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A well-enformed and engaged audience makes any presentation better.
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As such, we want you to do a bit of preparation for this guest speaker. Prior to class, do the following things:
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<ol>
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<li>Learn more about our speaker by reading their bio (included below). Search the internet for any terms you may not be familiar with.</li>
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<li>Learn more about the speaker's organization by searching the internet and reading interesting articles.</li>
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<li>Think of 1-3 interesting questions to ask the speaker and submit them (link below).</li>
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</ol>
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</p>
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<!--TODO: Change this for a different speaker -->
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<h3>Speaker Bio</h3>
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<p>
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Dr. Winson Taam has many years of experience in practicing data sciences to provide solutions for business and
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engineering challenges. He leads a team of data scientist in MSIT delivering algorithms to counter
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illegal use of Microsoft products, to estimate space utilization for RE&F global portfolio, and for
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Energy Smart Building initiative, to name a few. Prior to joining Microsoft, he was an Associate
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Technical Fellow of Boeing, where he led numerous projects involving new product and process development
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in composites, modeling air traffic, assessing traveler's perception on interior designs, testing military
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jets, and developing methods to handle sources of variation in structural materials. His expertise in design
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of experiments, quality control, discrete choice models, and predictive modeling were sought after enterprise
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wide. During his tenure at Oakland University, he developed and taught a wide range of courses from introductory
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to theoretical level in both academic and industrial settings, and in international workshops. During this
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time, he worked extensively as a consultant for the automobile manufacturers and suppliers. Winson holds
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a Ph.D. degree in Statistics from the University of Wisconsin-Madison.
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</p>
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<h3>Submitting your questions</h3>
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<p>
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Seeing a few questions beforehand helps speakers prepare for their audience.
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So after you have read about our guest speaker and data science at their organization,
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think of a few questions that you like to have the speaker answer.
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</p>
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<p>
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Submit your questions here: <b><a href="https://goo.gl/forms/ZzyVKDlgsNhNCmf73" target="_blank">Google form: Questions to ask Dr. Winson Taam</a></b>.
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<br/>
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Submitting this question will count as your reading points for the class.
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</p>
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</body>
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</html>

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