ISEPA Highlighted Courses


Current & Upcoming Courses

Online Training Courses on Efficiency and Productivity Analysis

From: Thursday Nov 25, 2021 through Wednesday Dec 01, 2021 - 1:00 to 12:45


Emmanuel Thanassoulis - Emeritus Professor in Management Sciences, Aston University

Ali Emrouznejad - Professor of Business Analytics, Aston University

Dimitris Girales - Lecturer of Business Statistics, Aston University

Location: Online - MS Teams


Deadline for registration: 15th November 2021

Registration fee: £490+

Early registration fee: Pay before 24th October 2021 to get 10% discount

Data Envelopment Analysis (DEA): 25-27 November 2021

Econometric Methods including SFA: 29 November-1 December 2021

The aim of these courses is to enable participants to understand the fundamentals of Data Envelopment Analysis (DEA) and econometric methods including Stochastic Frontier Analysis (SFA) as general purpose methods for efficiency and productivity analysis in complex multi-output and multi-input contexts in the production of goods and services. The courses will cover both the theory and the actual use of DEA and econometric methods. Sample real life and simulated contexts will be used. The DEA course will use the PIM DEA software, and the econometric/SFA course will utilise the STATA statistical software package for illustrative applications.

Link Opens in A New Window
Learn More...

Previous Courses

Frontiers of Big Data, AI, and Analytics

From: Friday Oct 08, 2021 through Friday Oct 08, 2021 - 10:00 to 11:30


Michael Littman - Professor of Computer Science, Brown University

Location: Online - Zoom

Cost: FREE

Date and time: 8 October 2021 10:00AM - 11:30AM (Australian Eastern Daylight Time (GMT+11))

Discussion theme: Telling, Inspiring, Demonstrating, and Explaining: Getting Machines To Do What We Want

These days, pretty much everything is a computer, resulting in devices that are powerful and flexible. But they are only useful if they carry out our wishes. Programming was invented as a mechanism for communicating the steps we want machines to carry out, but some tasks have proven difficult for even expert programmers to express. Machine learning provides a broader palette of techniques for conveying our intent to computers. The talk will cover several advances in machine learning from the perspective of how we can use them to better express our wishes to computers.

Link Opens in A New Window
Learn More...

Previous Courses

Two-day Course in Productivity and Efficiency Analysis Using R

From: Saturday Jun 06, 2020 through Sunday Jun 07, 2020 - 8:30 to 6:00

Presenter: Professor Chris O’Donnell

Location: Room 113, Chamberlain Building (35) UQ St Lucia

Cost: $1000 (inc GST) standard fee. $600 (inc GST) full-time students.

The course will focus on measures of productivity and efficiency that are of practical relevance to policymakers. Unlike many courses in productivity and efficiency analysis, this course will teach participants how to measure productivity change in ways that are consistent with measurement theory. Participants will then learn how piecewise frontier models (PFMs), deterministic frontier models (DFMs) and stochastic frontier models (SFMs) can be used to explain variations in productivity. Finally, participants will get hands-on experience analyzing productivity change using R.
Link Opens in A New Window
Learn More...

(713) 348-4875

Fax: (713) 348-5278


For administrative questions, please contact


Site Map








Refund Policy - Refunds on seminars and conferences will be given if cancellation is received more than 72 hours prior to the event. Membership fees and donations will only be refunded on a case-by-case basis.

Rice University • Economics Department, MS-22
6100 Main Street
Houston, TX 77005-1892