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:
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
Plan de Continuidad del Negocio SI2-106-M
Problems and issues affecting companies occur both inside and outside the firm across all industries. Not being prepared to manage such issues is effectively setting up the company for disaster”. This technical note teaches students a practical framework that can be used for preventing issues that alter operations as well as to prevent or limit the impact of those issues that have already occurred on critical operations with the objective of reducing the risk of loss of business reputation or even closure.
This technical note includes a framework for designing a Business Continuity Plan which can be used across all sectors and industries. The framework consists of five phases: Analysis Strategy Implementation Testing and Validation and finally Continual Maintenance. Each of these phases are explained in a practical manner and include the experiences of experts about how they designed the plan for in their company as well as the most critical factors that an organization must respond to for the correct management of issues.Academic Area:Digital Technologies & Data Science
Big Data SI2-107-M
This tutorial is aimed at introducing students to the main concepts of Big Data. The material includes videos interactive exercises supplementary material and elements of gamification. Students will learn about the origins of the Big Data concept its definition and characteristics the technologies used and when Big Data is suitable for business.
In addition students will have a chance at putting into practice their knowledge and to consider the latest trends surrounding this technology. All of this intertwined with elements that will keep students entertained throughout their learning. For example badges can be won along the way recognizing the knowledge acquired while helping to increase engagement with content.
This material can be used in undergraduate and graduate programs (especially MBA and other management programs) as well as in executive education courses where topics such as technology management and digital business are incorporated.Academic Area:Digital Technologies & Data Science
Business Intelligence SI1-131-M
The main objective of this material is for students to understand both the structure of the business intelligence system and what it is used for through interactive graphs and animations. It covers the topics of Data warehouses and Online Analytical Processing (OLAP) within Business Intelligence systems.
Given the multidimensional component of OLAP systems it is a difficult concept for students to understand and these interactive graphs and animations help them to fully understand these concepts in an entertaining way. Finally students will be able to see the effect of these systems on real businesses.Academic Area:Digital Technologies & Data Science