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Licenciatura em Matemática Aplicada à Economia e à Gestão

Anúncios de eventos

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    LYMC2021 - Lisbon Young Mathematicians Conference

    Este evento vai juntar estudantes de mestrado  e de doutoramento.
     
    A inscrição (sem custos mas obrigatória) é até dia 22 e a conferência dia 24 de abril.

    13ª Escola de Inverno de Matemática - IST-UL

    Seminário Diagonal

    Oferta de Bolsa para aluno de Mestrado

    Oferta de Bolsa para aluno de Mestrado

    (divulgação a pedido do Instituto Politécnico de Leiria)

    O Centro para o Desenvolvimento Rápido e Sustentado de Produto (CDRSP do Politécnico de Leiria, Portugal) procura estudante de mestrado em Matemática Aplicada, Engenharia ou áreas afins que pretenda trabalhar no projeto Mobilizador InovMINERAL4.0 que envolve 21 parceiros, entre a Indústria, Academia e outras entidades. A bolsa tem a duração de 18 meses, com início previsto em fevereiro de 2021. O objetivo geral do projeto é a reorientação de modelos industriais inovadores para a Indústria dos Recursos Minerais através do desenvolvimento de tecnologias avançadas, novos produtos e software que respondam a toda a cadeia de valor. No âmbito deste projeto pretende-se que o estudante possua competências de Programação e desenvolva algoritmos/modelos matemáticos de deteção, monitorização e controlo. Pretendese ainda que desenvolva e implemente sistemas óticos e baseados em imagem para programação da otimização das zonas de impacto e seu controlo na fragmentação da pedra. Autonomia, espírito de grupo e pro-atividade são características valorizadas. Será dada preferência a candidatos com fortes competências ao nível da programação e que possuam um bom domínio da língua inglesa. Os interessados deverão contactar a Professora Paula Faria, paula.faria@ipleiria.

    The Centre for Rapid and Sustainable Product Development (CDRSP, Polytechnic of Leiria, Portugal) is looking for a student enrolled in a MSc program in Applied Mathematics, Engineering or a related field, who would like to collaborate on the InovMINERAL4.0 Mobilizator project, which involves 21 partners from Industry, Academia and other entities. The scholarship duration is 18 months and is scheduled to start in February 2021. The general objective of the project is the reorientation of innovative industrial models for the Mineral Resources Industry through the development of advanced technologies, new products and software that respond to the entire value chain. Within the scope of the project, the candidate should develop and implement algorithms and mathematical models for detection, monitoring and control, as well as imagebased optical systems for the optimization of the impact zones in the process of a stone slab fragmentation. Autonomy, team spirit and proactivity are valued characteristics of the candidate. Preference will be given to applicants with solid programming skills and a good command of the English language. Candidates should contact Professor Paula Faria at paula.faria@ipleiria.pt

    Mathematics, Physics & Machine Learning Seminar

    Mathematics, Physics & Machine Learning

    06/01/2021

    To be held online at: https://videoconf-colibri.zoom.us/j/91599759679

    No password needed for this session.

    Sanjeev Arora06/01/2021, 18:00 ? 19:00 Europe/Lisbon ? Online
    Sanjeev Arora, Computer Science Department, Princeton University

    The quest for mathematical understanding of deep learning

    Deep learning has transformed Machine Learning and Artificial Intelligence in the past decade. It raises fundamental questions for mathematics and theory of computer science, since it relies upon solving large-scale nonconvex problems via gradient descent and its variants. This talk will be an introduction to mathematical questions raised by deep learning, and some partial understanding obtained in recent years with respect to optimization, generalization, self-supervised learning, privacy etc.



    The IST seminar series Mathematics, Physics & Machine Learning aims at bringing together mathematicians and physicists interested in machine learning (ML) with  ML and AI experts interested in mathematics and physics, with the goals of introducing innovative mathematics and physics-inspired techniques in ML and, reciprocally, applying ML to problems in mathematics and physics.

    Organizers: Cláudia Nunes (DM and CEMAT), Cláudia Soares (DEEC and ISR), Francisco Melo (DEI and INESC-ID), João Seixas (DF and CEFEMA), João Xavier (DEEC and ISR), José Mourão (DM and CAMGSD), Mário Figueiredo (DEEC and IT), Pedro Alexandre Santos (DM and INESC-ID) and Yasser Omar (DM and IT).

    The Midas Formula

    Um documentário da BBC cujo visionamento se recomenda. Por exemplo aqui.

     

    SINOPSE

    This is the extraordinary story of a beautiful mathematical formula that changed the world, the financial markets, and indeed capitalism itself. It could do the unthinkable - it took the risk out of playing the money-markets. To its inventors it brought the Nobel Prize for economics. To those who used it, it brought great wealth. But this glittering tale would end in tragedy.

    The Black Scholes formula was invented 25 years ago, by three young mathematicians. They had been trying to solve a problem that had plagued economists for centuries - how to counter the randomness of market forces and the irrationality of human behaviour that made the markets dangerously turbulent. Whilst pondering this dilemma, they made a remarkable discovery.

      The search for a way to price option contracts began in earnest when the thesis of an unknown student named Louis Bachelier was unearthed in the 1950s. Working at the beginning of this century, Bachelier had set out to do something no-one had ever done before - using a series of equations he created the first complete mathematical model of the markets. He had realised that stock prices moved at random and that it was impossible to make exact predictions about them, but Bachelier said he had also found a solution - through the pricing of a financial contract called an option.

      The risk in the stock market is that if you buy a stock today the price can drop in the future and you could lose money but if you pay for an option contract this gives you the right to wait and buy the stock if it reaches some agreed price in the future, but there's no obligation. If the stock fails to reach that price you can opt out and you would lose only the cost of the option. In theory options are a perfect way to get rid of risk, but there was a problem. How much would someone pay for such absolute peace of mind?

    Bachelier believed that if someone could discover a formula that would allow option contracts to be widely used, they would be able to tame the markets completely, but he died before he could find it. By the end of the 60s, academics were no nearer to pricing options than they'd ever been. But all this was about to change when Myron Scholes and his colleague Fischer Black set out to tackle the problem of options…

    At its simplest level, the Black Scholes formula could be used to hedge against losing any bet, by working out how to place another bet in the opposite direction. That way, you couldn't lose. The formula had the almost magical ability to allow you to make a fortune with the minimum of risk. But there was one problem. In the time it took to make the calculation, the fast moving markets had moved on and the calculation would effectively be out-of-date.

    However, unbeknown to them, the problem had already been solved by a financial genius called Bob Merton. Using an idea taken from rocket science, the value of an option could now be constantly recalculated and the risk eliminated continually.

      Myron Scholes and Bob Merton joined forces with the greatest dealers on Wall Street, and started a legendary company - Long Term Capital Management (LTCM). Relying on mathematics, the company traded and borrowed on a scale never seen before. But the mathematical model was based on normal market behaviour and unforeseen events were about to send the markets wild. The calculations in LTCM's models became hopelessly out of kilter, and when the company collapsed last year, it nearly brought down the entire global economy.

     

    Seminário de Investigação Operacional

    ISEG –  SEMINÁRIO DE INVESTIGAÇÃO OPERACIONAL

     

    TEORIA DOS JOGOS E PARTILHA DE

    INFRAESTRUTURAS

     

    ISEG, 11 de Novembro de 2020 (link TEAMS)

    Manuel Ramalhete

    Ex-Professor do ISEG

    Ex-Director da Galp Energia

     

    RESUMO DA APRESENTAÇÃO

    • A Teoria dos jogos (Estratégicos) tem vindo cada vez mais a ser utilizada para análise de situações de indivíduos (e outros seres vivos), ou grupos, que competem entre si, seja nas actividades sociais, politicas, militares e económicas. Mas as suas aplicações estendem-se também às ciências exactas.

    • Nesta apresentação iremos apresentar duas aplicações (e daremos nota de uma terceira) em que a Teoria dos jogos (Cooperativos) pode ser aplicada para possibilitar, de uma forma mais racional, a partilha dos resultados pelos jogadores (operadores).

    • A primeira apresentação refere-se à distribuição, por 4 empresas petrolíferas, dos custos de uma infraestrutura logística para distribuição de combustíveis. Os números, embora aproximados, referem-se a uma situação ocorrida nos anos 90.

    • A segunda é uma aplicação meramente fictícia, mas realista, para ilustrar a aplicação à partilha de custos de um sistema de abastecimento de água a 4 povoações.

    • Finalmente, apresenta-se resumidamente, a título de curiosidade, a aplicação desta metodologia à tarifação de aeronaves no aeroporto de Birmingham.

    Eurekathon

    Eurekathon by LTPlabs, PBS and NOS

    Challenging Data for Zero Hunger


    5-7 November | Virtual event

     

    EUREKATHON is a data-driven competition that addresses societal issues associated with sustainable development goals. The objective is to empower our society with innovative solutions that take advantage of data sources not usually explored for social purposes. In this 2nd edition, you are challenged to develop concrete and creative solutions that contribute to maximize access by all people to sufficient food all year round, in partnership with Banco Alimentar Contra a Fome.

     

     

    What is the target of Eurekathon?
    If you are a student or professional from the emerging areas of data science and business analytics you are welcomed and encouraged to participate in Eurekathon. The competition will be amongst teams of 4-6 members who will work side-by-side with like-minded data scientists and business analysts. You can bring your own team or apply as an individual participant and we will add you to a team making sure that there is a balance of knowledge and experience.

     

    How is it going to happen?
    Due to the pandemic’s restrictions, the 2020 edition of Eurekathon will be a hybrid event. The main competition will take place from the 5th to the 7th of November, on a virtual platform, fully customized for this event. The final will take place as a physical event, if possible, on the 14th of November.

     

    All teams will have access to a diversity of data sources, both private and public, that can be leveraged to build analyses, models and tools. The final solutions should explore the given data sources to generate insights that should be leveraged to make concrete recommendations to our social partner. Creativity is a key element for winning solutions!  

     

    A panel of mentors will assess the potential impact, the novelty and the analytical depth of the work developed by the teams. At the end, 6 teams will have the opportunity to present their work on a physical event on 14th November, in Lisbon, and a monetary prize will be awarded to the 3 winners. Aligned with the spirit, 20% of the prize will be donated to a non-profit NGO chosen by the winning teams.

     

    Along the journey, you will have the opportunity to participate in social online activities and get to know the data community. Distinguished specialists will also be available to mentor you during the competition.

     

    Come and share your Eureka! 

    Check for more details and apply here