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  1. Cities, Innovation and Talent GE2-135-I

    This technical note explains the fundamentals of the ecosystem for innovation and talent and its importance for the city. We can understand the role of human capital and how important talent is for the ecosystem, where several factors converge for the generation of ideas, products, methods or processes and that encourage entrepreneurship.

    Through this document, we will be able to know what talent is and how it is associated with human capital, why talent is important to the ecosystem of innovation and economic growth of a city and what aspects are necessary for a city to have an urban ecosystem of innovation and talent.

    Academic Area:
    Entrepreneurship | Others | Innovation
  2. Quantitative decision analysis MC021-021-I

    This technical note introduces students to quantitative methods and modeling techniques to facilitate decision making. In order to learn how to apply scientific methods to help them choose the best possible strategy to reach their goal. Using an example, students are taught how to make a decision using expected values in order to transform non-controlled variables into a numeric value.                                                                                             

    Various examples are given so that students can learn how to make decisions based on different levels of risk aversion.

    Academic Area:
    Operations & Supply Chain Management | Others
  3. Basic statistical methods MC021-022-I

    This document introduces students to basic statistical models using step-by-step examples. It takes a look at how we can go from having sample data to data of the population by using two methods: confidence intervals and hypothesis testing. Students are then given practical examples of how these methods can be used. They are taken through each problem step by step and learn how to solve them using Excel functions.

    The examples cover cases like how to determine the optimal number of data in a sample and testing hypotheses for more than two means.

    Academic Area:
    Operations & Supply Chain Management | Others
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