Tehran Institute for Advanced Studies (TeIAS)

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Summer School

Energy and Environmental Economics

10-12 September, 2017

Venue

Khatam University
Address: Mollasadra, North Shiraz, Hakim Azam, No 30. See location on Google map

Registration Deadline:
Tuesday, 8th of Bahman (28th of January, 2020)

Tuition:
General: 1,000,000 Toman
Students: 300,000 Toman

Scholarships for strong candidates are available

After registration, you will receive an email on how to pay the fee.

+982189174612

Organizers

Executive Chair
Mohammad Morovati (TeIAS)

Scientific Chairs
Seyed Reza Mirnezami

Organization Chairs
Maryam Hejazinia

Overview:

The Tehran Institute for Advanced Studies’ summer school on “Energy and Environmental Economics” takes an interdisciplinary approach to the socioeconomic dimensions of energy and environment. On one hand, energy supply and security are important issues nowadays for policymakers. On the other hand, environmentally friendly decisions are not luxury anymore. Evidence-based policy making in this area needs to be supported by research that is conducted at high level standards. This schools covers a broad range of topics helping audience to have a better overview on the state of the art research. Tutorial will be given by renowned professors in the fields of climate change and global warming, regulation and pricing, environmental policy, energy and environmental law, political economy of energy, and empirical analysis of energy markets.     

AIM & FOCUS AREAS

The Tehran Institute for Advanced Studies’ summer school on “Energy and Environmental Economics” takes an interdisciplinary approach to the socioeconomic dimensions of energy and environment. On one hand, energy supply and security are important issues nowadays for policymakers. On the other hand, environmentally friendly decisions are not luxury anymore. Evidence-based policy making in this area needs to be supported by research that is conducted at high level standards. This school covers a broad range of topics helping audience to have a better overview on the state of the art research. Tutorials will be given by renowned professors in the fields of climate change and global warming, regulation and pricing, environmental policy, energy and environmental law, political economy of energy, and empirical analysis of energy markets.

Target Audience

The course is intended for graduate students in Economics, Energy and Environment Policy, Law, and related fields. The course participants are assumed to have an intermediate understanding of core concepts in Economics.

Speakers

Frank Wolak

Stanford University

Python Programming

Mssimo Filippini

ETH Zurich & University of Lugano

Python Programming

Hossein Abdoh Tabrizi

Adjunct Professor at Sharif University of Technology

Python Programming

Jorge Viñuales

University of Cambridge

Python Programming

Cameron James Hepburn

University of Oxford

Python Programming

ABBAS GHANDI

MIT

Python Programming

PAUL STEVENS

CHATHAM HOUSE

Python Programming

MOHAMMAD MOROVATI

STANFORD UNIVERSITY

Python Programming

PAUL STEVENS

CHATHAM HOUSE

Python Programming

Schedule:

  • 09:30 – 10:00 Opening
  • 10:00 – 10:30 Introduction to the School
  • 10:30 – 10:45 Coffee / Tea Break
  • 10:45 – 12:00 Introduction to Statistics – Session 1
  • 12:00 – 13:15 Lunch Break
  • 13:15 – 14:15 Python Programming – Basics – Session 1
  • 14:15 – 14:30 Coffee / Tea Break
  • 14:30 – 15:30 Introduction to Statistics – Session 2
  • 15:30 – 15:45 Coffee / Tea Break
  • 15:45 – 16:30 Introduction to Statistics – Session 3
  • 16:30 – 16:45 Coffee / Tea Break
  • 16:45 – 17:45 Data Science in Practice Panel
  • 09:00 – 10:00 Introduction to Statistics – Session 4
  • 10:00 – 10:15 Coffee / Tea Break 
  • 10:15 – 11:15 Introduction to Statistics – Session 5
  • 11:15 – 11:30 Coffee / Tea Break 
  • 11:30 – 12:15 Python Programming – Basics – Session 2
  • 12:15 – 13:30 Lunch Break 
  • 13:30 – 14:15 Python Programming – Basics – Session 3
  • 14:15 – 14:30 Coffee / Tea Break 
  • 14:30 – 15:15 Machine Learning – Session 1
  • 15:15 – 15:30 Coffee / Tea Break
  • 15:30 – 16:30 Machine Learning – Session 2
  • 16:30 – 17:00 Practical Problems in Data Science
 
  • 09:00 – 10:15 Machine Learning – Session 3
  • 10:15 – 10:30 Coffee / Tea Break 
  • 10:30 – 11:45  Machine Learning – Session 4
  • 11:45 – 12:00 Coffee / Tea Break 
  • 12:00 – 12:45  Machine Learning – Session 5
  • 12:45 – 13:45 Lunch Break 
  • 13:45 – 14:30 Python Programming – Data Analysis – Session 4
  • 14:30 – 14:45 Coffee / Tea Break 
  • 14:45 – 15:30 Python Programming – Data Analysis – Session 5
  • 15:30 – 17:00 Programming Lab
Members
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