[AISWorld] HICSS-52: Analytics in the Curricula Workshop Call for Participation

Rhonda Syler rhonda.syler at gmail.com
Thu Apr 5 20:48:49 EDT 2018


Colleagues,
Join us in Maui for Analytics in the Curriculum at HICSS-52! If you are
developing analytics curriculum, teaching, analytics, or exploring ways to
build analytics into the curriculum, you won't want to miss this workshop.
Registration is required through the HICSS registration system.

*A Hands-On Exploration of Business Analytics Curricula Resources*

*with Insights on AACSB Curriculum Design*
Timothy Paul Cronan, Ronald D. Freeze & Rhonda A. Syler

*University** of Arkansas*



*The objective of this workshop *is to provide faculty participants
with a forum
to learn and discuss curricula strategies, as well as learn about resources
and exercises for data analytics and big data for their university
curricula. The workshop will launch with discourse from panelists who
have presented
numerous Association to Advance Collegiate Schools of Business
(AACSB)-sponsored workshops worldwide on business analytics curriculum
development. Their insight will provide valuable and practical takeaway
ideas and solutions for the participants’ own analytics curriculum
development. The variety of perspectives presented will prove to be valuable
for faculty as they develop and refine the incorporation of analytics and data
management (databases, big data, and supporting platforms) into their
curricula. The discussion and exchange will focus on implemented curriculum
strategies, existing content, and navigating the challenges analytic
curriculum integration presents. The dialogue will include hands-on
use of available
resources for faculty and students.



This workshop is intended for faculty who are developing a business/data
analytics curriculum (or courses), as well as faculty teaching in the areas
of Business Intelligence, Data, Statistics, and Business Analytics. Workshop
highlights include –



·         *Business/Data** Analytics Curriculum Development Panel (extracts
from AACSB Analytics Curriculum Advisory Group)*

o   AACSB Perspective

o   Relevance and Impact of Analytics (Why, Constituents, Demand, Relevance)



·         *Available Resources*

o   Exercises and Assignments – Participant Access

§  HEC Montreal: Simulation and SAS Analytics

§  University of Arkansas, Enterprise Systems:

•           Datasets – Dillard’s, Sam’s Club

•          Tutorials – SAS Viya, Tableau, SAP Lumira

o   Systems for Analytics through the University of Arkansas, Enterprise
Systems

§  *SAS Viya:* SAS Enterprise Guide, SAS Enterprise Miner & SAS Visual
Analytics

§  *SAP:* SAP S/4HANA and Predictive Analytics

§  *Teradata** University Network*

§  *IBM Academic Initiative*

§  *Microsoft Enterprise Consortium*



·         *Discussion* *-- Resources,** Challenges, Curricular Issues, and
Research Implications*





**Preconference** material will be made available for attendees on
coordinators’ or other websites.*

*W**ORKSHOP* *P**ARTICIPANTS*


AACSB Analytics Curriculum Panel

·         Dr. Timothy Paul Cronan, University of Arkansas

·         Dr. David Douglas, University of Arkansas

·         Dr. Michael Goul, Arizona State University

·         Dan LeClair, Executive Vice President AACSB



*Workshop** Presenters and Participants*

·         Dr. Mike Speed, SAS (tentative)

·         Dr. Pierre-Majorique Leger, HEC Montreal (tentative)

·         Dr. Ronald D. Freeze, University of Arkansas

·         Dr. Rhonda A. Syler, University of Arkansas

·         Michael Gibbs, University of Arkansas



*Workshop** Coordinators**:*

*Timothy* *Paul** Cronan *(pcronan at walton.uark.edu) is Professor of
Information Systems at the Sam M. Walton College of Business at the
University of Arkansas and holds the M. D. Matthews Endowed Chair in
Information Systems. Paul serves as Director, Information Systems Graduate
Programs and Director, Enterprise Systems which has the Enterprise
Blockchain Consortium.  He co-developed the *AACSB Analytics Curriculum
Advisory Group *whose purpose is, together with AACSB, to be a catalyst in
the development of analytics curricula for AACSB member schools.  His
teaching interests and experiences include Business Analytics and Business
Intelligence, Data Mining, Database, and Project Management. His research
interests include academic integrity, ERP decision modeling, culture,
attitudes, change management, as well as ethics behavior (piracy and
privacy).



*Ronald D. Freeze *(rfreeze at walton.uark.edu) is an Associate Director of
Enterprise Systems and a Clinical Associate Professor of Information Systems in
the Walton College of Business at the University of Arkansas, Fayetteville.
He received his PhD from Arizona State University. His current research
interests include knowledge management, capability assessment, enterprise
resource planning implementation, and structural equation modelling. Ron has
been TERP-10 certified and is an active participant in the Center for
Analytics at the University of Arkansas. His publications have appeared in
the Journal of Management Information Systems, Journal of Computer
Information Systems, Journal of Knowledge Management, and International Journal
of Knowledge Management.



*Rhonda A. Syler *(rsyler at walton.uark.edu), is an Associate Director of
Enterprise Systems and a Clinical Assistant Professor of Information Systems in
the Sam M. Walton College of Business at the University of Arkansas, received
her PhD from Auburn University. Dr. Syler’s experience includes
co-developing an Internet of Things Lab at Louisiana Tech University designed
to provide a learning and innovation environment for big data, security,
ERP, mobile development, and cloud computing. Rhonda’s experiences
include working
on data- and analytic-driven curriculum projects with Fortune 500 companies
CRSA (formerly CSC) and CenturyLink. Her current teaching interests include
Business Analytics, Database, Enterprise Resource Planning, and Enterprise
Systems. Her current relevant research interests focus on organizational
impact and business value of disruptive technologies such as the Internet
of Things.



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