Innovation

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  1. EFFECTIVE COMMUNICATION FOR LEADERSHIP CM4-001-I-M

    The tutorial takes the student through the aspects of oral communication which research and observation show will make the speaker be perceived as more charismatic. It covers the least frequently taught side of charismatic communication: the content of the speech. The first part shows how to frame the message, through the depiction of values, the future, the individuals as capable of achieving the vision, the power of the group to succeed, and the leader himself as the standard to follow. The second part teaches which rhetorical recourses are most effective in conveying the message. The third part studies the attributes and behaviors most frequently observed in charismatic leaders. The fourth part shows the uses of language that will reduce the perceived power of the speaker. 

    Academic Area:
    Organisational Behaviour | Human Resources | Marketing & Communications | Others
  2. Machine Learning SI2-108-I-M

    This multimedia is in a template form with the goal of giving students a background on machine learning, its types, and examples of what it’s used for. It is a simple and straight-forward material that involves text, video, GIF and interactive tools (quizzes, etc.)

    The breakdown of sections is as follows:

    1) Home

    2) What is Machine Learning

    3) Why Now?

    4) Infrastructure Needed

    5) Types of Machine Learning

    6) Test Your ML IQ

    The tutorial is meant for students to do before they come into class, to give them a taste of the area of machine learning, without going too much in-depth (that will be the professor’s role).

    Academic Area:
    Strategy | Entrepreneurship | Digital Technologies & Data Science | Innovation
  3. Machine Learning SI2-108-M

    This multimedia is in a template form with the goal of giving students a background on machine learning, its types, and examples of what it’s used for. It is a simple and straight-forward material that involves text, video, GIF and interactive tools (quizzes, etc.)

    The breakdown of sections is as follows:

    1) Home

    2) What is Machine Learning

    3) Why Now?

    4) Infrastructure Needed

    5) Types of Machine Learning

    6) Test Your ML IQ

    The tutorial is meant for students to do before they come into class, to give them a taste of the area of machine learning, without going too much in-depth (that will be the professor’s role).

    Academic Area:
    Strategy | Entrepreneurship | Digital Technologies & Data Science | Innovation
  4. Ciudades, innovación y talento GE2-135

    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
  5. 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
  6. Técnicas de innovación MK2-144

    This learning material describes the method that is necessary for the process of innovation of a brand. From the attitude and inspiration to the sophistication of the message to influence the perception of who receives it. 

    Academic Area:
    Marketing & Communications | Innovation
  7. Managing capacity in the intermediate term: aggregat … DO2-003-I

    “Notes and cases of operations often seem to be based on the analysis of operating systems in an unchanging environment. The emphasis is placed on understanding and evaluating basic characteristics of company’s operations, working under reasonably stable conditions in terms of demand and markets. However, business works differently in practice. Markets demand competition and strategic change. Operating systems should be adapted to new strategic needs. Even in situations where strategic and competitive framework is reasonably stable (where the convenience or otherwise making of changes in a coherently designed and well managed operating system could be questioned), demand does not usually remain stable in the course of time.”
    This technical note related to strategy details planning and scheduling procedures to manage dynamic capacity.

    Academic Area:
    Operations & Supply Chain Management
  8. Principales conceptos sobre métodos cuantitativos DO2-129-M

    This is a series of videos that help students to understand the main concepts covered in the Quantitative Methods course. These videos are enhanced through the use of presentations and diagrams on an interactive whiteboard in order to simplify the understanding of the topics. The topics covered are the following:

    - Introduction to Probability
    - Conditional Probability and Bayes’ Theorem
    - Random Variables
    - The Normal Distribution
    - Sampling & Confidence Intervals
    - Hypothesis Testing

    Academic Area:
    Operations & Supply Chain Management
  9. Main Concepts about Quantitative Methods DO2-129-I-M

    This is a series of videos that help students to understand the main concepts covered in the Quantitative Methods course. These videos are enhanced through the use of presentations and diagrams on an interactive whiteboard in order to simplify the understanding of the topics. The topics covered are the following:

    - Introduction to Probability
    - Conditional Probability and Bayes’ Theorem
    - Random Variables
    - The Normal Distribution
    - Sampling & Confidence Intervals
    - Hypothesis Testing

    Academic Area:
    Operations & Supply Chain Management
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