[AISWorld] MOOC "Process Mining: Data science in Action" to be repeated as of October 2015

[Jeet Gupta]

Hello Joos:

Thanks for the information.

Is this MOOC course free or are there any charges for this course?

I might recommend this course to some of my students to take if it is free
as then they are more likely to sign up for it.


Best regards,


_________________________________________________________________ 
Jatinder (Jeet) N. D. Gupta, PhD, CFPIM
Associate Dean for Graduate and Sponsored Programs
Director of Integrated Enterprise Lab
Eminent Scholar and Professor
College of Business Administration 
The University of Alabama in Huntsville 
301 Sparkman Drive
Huntsville, AL 35899 
Phone: 256-824-6593 (office)
           256-288-0150 (home) 
FAX:    256-824-6328
E-mail: guptaj at uah.edu


> -----Original Message-----
> From: AISWorld [mailto:aisworld-bounces at lists.aisnet.org] On Behalf Of
> Buijs, J.C.A.M.
> Sent: Friday, September 04, 2015 9:55 AM
> To: aisworld at lists.aisnet.org
> Subject: [AISWorld] MOOC “Process Mining: Data science in Action” to be
> repeated as of October 2015
> 
> Due to the large success of the previous two runs, this 6 week online
course
> is repeated as of October. The course provides data science knowledge that
> can be applied directly to analyze and improve processes in a variety of
> domains.
> 
> Starts: October 7, 2015
> 
> For more information and to register visit:
> Process Mining: Data science in
> Action<https://www.coursera.org/course/procmin>.
> 
> Data science is the profession of the future, because organizations that
are
> unable to use (big) data in a smart way will not survive. It is not
sufficient to
> focus on data storage and data analysis. The data scientist also needs to
> relate data to process analysis. Process mining bridges the gap between
> traditional model-based process analysis (e.g., simulation and other
> business process management techniques) and data-centric analysis
> techniques such as machine learning and data mining. Process mining seeks
> the confrontation between event data (i.e., observed behavior) and process
> models (hand-made or discovered automatically).
> 
> Process mining can be applied to any type of operational processes
> (organizations and systems). Example applications include: analyzing
> treatment processes in hospitals, improving customer service processes in
a
> multinational, understanding the browsing behavior of customers using a
> booking site, analyzing failures of a baggage handling system, and
> improving the user interface of an X-ray machine. All of these
applications
> have in common that dynamic behavior needs to be related to process
> models. Hence, we refer to this as "data science in action".
> 
> The Coursera course “Process Mining: Data science in Action” explains the
> key analysis techniques in process mining. Over 65,000 participants joined
in
> the first two runs where they learned various process discovery
algorithms.
> These can be used to automatically learn process models from raw event
> data. Various other process analysis techniques that use event data were
> also presented. Moreover, the course provides easy-to-use software, real-
> life data sets, and practical skills to directly apply the theory in a
variety of
> application domains. To give everyone who missed the previous runs a
> chance to follow this course, the course runs again as of October 7, 2015.
> 
> 
> 
> Kind regards,
> 
> [TUe_top]
> 
> dr.ir. J.C.A.M. (Joos) Buijs
> Post-Doctoral Researcher
> Fac. Wiskunde & Informatica
> 
> j.c.a.m.buijs at tue.nl<mailto:j.c.a.m.buijs at tue.nl>
> http://www.tue.nl/staff/j.c.a.m.buijs
> 
> Not in the office on Mondays
> 
> Den Dolech 2, 5612 AZ
> P.O. Box 513, MF 7.062
> 5600 MB Eindhoven
> The Netherlands
> 
> In case a direct reply is desired:
> Office MF 7.062
> Lync j.c.a.m.buijs at tue.nl<sip:j.c.a.m.buijs at tue.nl>
> Skype joos.buijs
> M +31 6 42 77 89 88 (preferred)
> T +31 40 247 3661
>