Data Science Winter School
February 2-6, 2020
Data is one of the major assets of the future. Making sense of the huge amount of available data will create enormous opportunities. Data can range from natural language documents, to network traffic, to logs of system behavior. The invited speakers of this school share their knowledge and experience on different aspects of these compelling challenges, including probability & statistics, python programming and machine learning.
International Trade II
July 30th-31st, 2019
The 4th TeIAS Summer School in Computer Science, Data Science & Machine Learning
August 24-27, 2019
Data is one of the major assets of the future. Making sense of the huge amount of available data will create enormous opportunities. Data can range from natural language documents, to network traffic, to logs of system behavior. The world-class invited speakers of this summer school share their knowledge and experience on different aspects of these compelling challenges, including natural language processing, machine learning and model learning, using machine learning for the design of cyber-physical systems and data security and privacy.
Networks and Systems
August 13-16, 2018
Network-based systems are an essential part of the modern life: we depend on complex systems in different scales from small embedded mobile devices connected to the Internet to large distributed computer systems. Performance, correctness, security, and dependability of these systems are of vital importance for the today’s modern society.
Big Data Economics II
August 5-8, 2018
Big Data Economics summer school aims to address the theoretical, computational and statistical underpinnings of big data analysis through a series of talks from leading academic experts. The focus will be the econometric models and novel machine learning techniques to manipulate and analyze the big data and their Implications in research focusing on interesting economic questions that arise from considering the rapid changes in data availability and computational technology.
Economics of Cryptocurrencies
July 17-19, 2018
The new distributed data structures (e.g. blockchains) and digital assets (e.g. cryptocurrencies) will foster novel services, business models and applications in the next years. These technologies can provide an automated and secure transaction infrastructure for next generation of smart systems while the voluntary user participation to the mining of cryptocurrencies could permit the development of new distributed services that offers an alternative to the advertisement-based revenue system used by most of the “free services” that are currently available.
Energy and Environmental Economics
September 10-12, 2017
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.
International Trade I
31st July – 1st August, 2017
Iran is the largest economy in the world that is still outside the World Trade Organization. What are the gains and challenges of integrating to the world economy for the Iranian consumers and producers? To answer these policy questions, it is imperative to understand the global economy and its institutions from both theoretical and empirical perspectives.
Verification of Concurrent Systems
August 8-10, 2017
Concurrency is an ever-increasing trend in designing and implementing computer systems. However, their analysis is notoriously challenging due to the combinatorial explosion of their state-spaces. Ad-hoc and manual techniques come short of making any substantial claim regarding quality and correctness of such systems.
Cyber-Physical Systems Summer School
September 13-15, 2016
Cyber-physical systems (CPSs) are the result of THE omnipresent and massive integration of connected computer systems with the physical world. As such, their design and development involves a range of disciplines from mechanical engineering and electrical engineering, to control engineering and robotics, to computer science and informatics.