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Digital Business

Minor


AUTUMN SEMESTER

Format: To be confirmed

 

Lecturer

  • Zakaria Babutsidze, Associate Professor of Economics at SKEMA Business School

 

Summary

This course provides foundation for understanding the value of data in digital business, and in managerial decision-making in general. The course outlines distinctions of current data sources from those used by businesses in the past. It also covers cutting-edge data technologies (i.e. Artificial Intelligence, Machine Learning, Cognitive Computing etc.) and moves onto the analysis of benefits and shortcomings of this new development brought by the digital transformation of organizations.

Organization:
The course consists of eight three-hour meetings. These meetings will involve a combination of lecture and practical work. There will be an (individual) exam at the end of the course. You will also be two group assignments. One of them will involve in-class group activity in randomly generated groups. The other will involve a presentation (in relatively voluntary formed groups). 

Materials:
All reading materials (besides books) will be provided at http://bit.do/VoD19
Presentation slides will also be placed in the same location after every class.

The course relies on two books:
• Prediction Machines by Agrawal, Gans & Goldfarb; Harvard Business School Press 2018. (Hereafter - AGG)
• Weapons of Math Destruction by O’Neil; CROWN 2016.
As copyrights to not allow me to share much of these books (only two chapters in each case will be provided), consider purchasing them, especially the AGG (they are not expensive).

Location

To be announced

 

Schedule

To be announced

 

Prerequisites

No