[AISWorld] HICSS-51 Workshop on Analytics in the Curriculum (Insights on AACSB Curriculum Design)

[Rhonda Syler]

Colleagues,
Considering joining us on the Big Island this January for a workshop on
Data Analytics in the Curriculum (Insights on AACSB Curriculum Design) -
description below. Registration opens MAY 8 at http://hicss.
hawaii.edu/participants/registration/

We hope to see you in Hawaii.

All the Best,

DATA ANALYTICS IN THE CURRICULUM (INSIGHTS ON AACSB CURRICULUM DESIGN)
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January 3, 2018
1 - 4 p.m. The objective of this workshop is to provide faculty
participants with a forum to learn about, discuss and identify strategies
and resources for data analytics and “big data” in the curriculum at their
university. The workshop will launch with discourse from business analytics
curriculum panelists who have presented numerous Association to Advance
Collegiate Schools of Business (AACSB)-sponsored workshops worldwide on
analytics curriculum development. Their insight will provide valuable and
practical takeaway ideas and solutions for the participants’ own analytics
curriculum development. Perspectives from the panel, academics, and
industry representatives will prove to be very valuable for faculty as they
develop and refine the incorporation of analytics and data management
(databases, big data, and supporting platforms) into their curriculum. The
discussion and exchange will focus on devising curriculum strategies,
building content, and navigating the challenges analytic curriculum
integration presents. The dialogue will include finding and sharing
available resources for faculty and student use.

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

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

   - AACSB Perspective
   - Relevance and Impact of Analytics (Why, Constituents, Demand,
   Relevance, …)
   - Current Analytics Curricula Approaches
   - Curriculum Development Challenges

2) Available Analytics Resources

   - Software for Curriculum Resources
   IBM: IBM’s SPSS Modeler, Bluemix (Hadoop/Map Reduce & Spark), Cognos
   Insights, and Watson’s Analytics
   SAP: SAP S/4HANA and Predictive Analytics
   SAS: SAS Enterprise Guide, SAS Enterprise Miner & SAS Visual Analytics
   Teradata University Network
   - Data
   - University of Arkansas Datasets & Resources

3) Discussion — Resources, Challenges, Curricular Issues, and Research
Implications
SWT Leaders:

Timothy Paul Cronan (Primary Contact)
University of Arkansas
pcronan at wlaton.uark.edu

Ronald D. Freeze
University of Arkansas
rfreeze at walton.uark.edu

Rhonda A. Syler
University of Arkansas
rsyler at walton.uark.edu