Digital Technologies & Data Science

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  1. The Internet of Things SI2-109-I-M

    This multimedia project aims to provide the student with an overview of the Internet of Things (IoT) so they can develop the ability to think critically and strategically about the opportunities and challenges that have emerge through the Internet of Things in our current digital era.

    The student will be able to develop the knowledge base for IoT in order to understand courses related to emerging technologies, digital transformation and impact of technology in different corporate departments and industries.

    The student is immersed in an interactive environment with 9 different sections, varying from virtual rooms of futuristic house to a Smart City and factory.They will always be guided and accompanied by Maria, the protagonist of our interactive case. The character of Maria contextualizes the learnings of the students and puts them into an entertaining and exciting story in the form of animations. This keeps the student engaged as well as teaching them in a learning-by-doing approach.

    This tutorial will cover the definition of the Internet of Things and the importance in today’s world; how it is changing every industry (health, manufacturing, urban planning etc.);  IoT partnerships and the IoT ecosystem necessary to make it reality, are some of the topics that will be covered. We will also examine how certain challenges such as privacy, cybersecurity, cultural, social or interoperability affect the way Internet of Things functions in today’s world.

    Animations, videos, pop-ups and other interactive features make the student´s journey an entertaining and practical experience in order to develop a full understanding of the Internet of Things in a multimedia format program with an approximate duration of 60 minutes. 

    Academic Area:
    Digital Technologies & Data Science
  2. Mejores prácticas digitales de gran consumo MK2-154

    The digital channel turns out to be successful in different consumer goods companies. An ideal tool to create a strategy based on the strengths, weaknesses, opportunities, and threats (SWOT) from the company itself. In this sense, it seeks to face the battles with the price and physical stores, as well as challenging territories where the manufacturer and/or provider have greater prominence.

    Carrying out the best digital practices allows you to approach the client more directly, unlike how it was done before the irruption of the digital channel. Therefore, it calls us to reflect on the trends and transformations that have been carried out by different companies, adapting to their needs and creating an updated digital marketing strategy.

    Academic Area:
    Digital Technologies & Data Science | Marketing & Communications
  3. 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
  4. 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
  5. Big data en rating de empresas SI1-155

    The analysis of the activity and solvency of a company is one of the most classic applications of statistical and analytical methods. When deciding to give a loan, expanding or cutting financing, financial institutions no longer apply subjective criteria. Instead, they use scientific tools, one of them called rating.   

    This document In addition to the theoretical concepts includes a case study that explains how a Spanish company enters in the business of providing rating services.

    Academic Area:
    Digital Technologies & Data Science
  6. El Control de Gestión Estratégico: Planificación Est … CG2-131

    Positive past results are less and less likely to produce positive results in the future. The success of a firm stands in its capacity to adapt to the environment at any given time and situation.

    As a consequence, the role of management control has changed significantly and continues to do so. Faced with the, basically financial, management control of the 80s and 90s, it has evolved to become more strategic, and capable of answering to a firms current capacity to generate revenue. This will be achieved only if we measure and control the selected strategic path, and depends also on the capability to constantly reframe that path, through constant and adaptive strategic planning for every moment and situation.

    Academic Area:
    Cost Accounting & Management Control
  7. Country Investment Decision EC2-103-I-M

    Country Investment Decision is an interactive exercise in which students adopt the role of an International Fund Advisor. Students must study the data available about different countries in order to prioritize the investment options and make a final investment proposal.

    The exercise is designed so that different data sets of real countries are firstly considered individually before all the data together is taken into account to make a final proposal. The topics covered are economic indicator data, institutional data, and finally social and political risk data. At each decision stage, the student must justify their choices. A professor’s page displays graphically the evolution of decisions.

    * This material will have personalized links for each student and the professor will have the ability to see individual and aggregate responses before and during the class session.

    Academic Area:
    Economic Environment & Public Affairs
  8. Country Investment Decision EC2-103-M

    Country Investment Decision is an interactive exercise in which students adopt the role of an International Fund Advisor. Students must study the data available about different countries in order to prioritize the investment options and make a final investment proposal.

    The exercise is designed so that different data sets of real countries are firstly considered individually before all the data together is taken into account to make a final proposal. The topics covered are economic indicator data, institutional data, and finally social and political risk data. At each decision stage, the student must justify their choices. A professor’s page displays graphically the evolution of decisions.

    * This material will have personalized links for each student and the professor will have the ability to see individual and aggregate responses before and during the class session.

    Academic Area:
    Economic Environment & Public Affairs
  9. DINERO, BANCOS Y POLÍTICA MONETARIA EC2-116

    This note is about the workings of the assets market, the different types of assets and focusing on money, the role of commercial and central banks. It analyzes the assets and money markets and their influence over monetary policy and interest rates. Finally it explains the different models of monetary policy, the types of financial markets and the stock-market indicators.

    This technical note substitutes the previous ones EC2-006 "El Sistema Financiero y la Creación de Dinero" and EC2-007 "El Mercado de Activos" that are no longer available.

    Academic Area:
    Economic Environment & Public Affairs
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