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
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:
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
Big Data SI2-107-I-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-I-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