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December 2017

CAST10@LISTSERV.UMD.EDU

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From:
John Hedengren <[log in to unmask]>
Reply To:
John Hedengren <[log in to unmask]>
Date:
Fri, 1 Dec 2017 17:14:08 +0000
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Dear colleagues,

Please share this online course information with any students who may be interested in joining. Also, please let me know if you also have content or a lecture topic that you'd like to share with the class. A substantial portion of the class is working on innovative dynamic optimization projects so ideas for group projects are also welcome.

Dynamic Optimization Course: https://apmonitor.com/do

The Dynamic Optimization Course starts Tuesday, 10 January 2018 (14 weeks). A few new aspects of the course for this year are an increased focus on mathematical dynamic modeling, a new Python interface to APMonitor that will be introduced in the course, and more hands-on activities with a MIMO Temperature Control Lab. The course is available for remote participants (WebEx) 3-4 PM Mountain time on Tuesdays and Thursdays. The course is freely available but limited to 200 remote participants. The lecture material is pre-recorded and the WebEx sessions are designed for interactive and hands-on participation. To join the course, please fill out a course information form at https://goo.gl/ZpU5fs and obtain (build or buy) an Arduino temperature control lab.

Best regards,

John Hedengren
Associate Professor
Brigham Young University
Provo, UT 84602
+1 801-477-7341



Although not offered this next semester, additional online course content is available for:

Process Dynamics and Control in Python: https://apmonitor.com/pdc
Process Dynamics and Control in MATLAB: https://apmonitor.com/che436
Programming (Python, MATLAB, and Excel) for Engineers: https://apmonitor.com/che263
Design Optimization: https://apmonitor.com/me575?





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