Emerging Technologies for Innovation
Objectives
This course provides an overview of various key technologies that offer significant advantages for digital businesses and other high-tech industries, exploring the new business opportunities these technologies can create. Students will have the opportunity to become familiar with the different market offerings in these technologies, examine real business problems, and how these new technologies can transform and impact real business scenarios. Additionally, the course examines potential directions and future trends for the technologies under study, new applications they enable, and how tech companies can leverage these technology applications.
General characterization
Code
200300
Credits
3.5
Responsible teacher
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Prerequisites
Students enrolled in the Master's program and familiar with the key concepts of information technologies
Bibliography
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Bach Tobji, M.A., Jallouli, R., Koubaa, Y., Nijholt, A. (2018). Digital Economy. Emerging Technologies and Business Innovation;
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Christensen, Clayton M. (2011). The Innovator's Dilemma
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Andrea Urbinati, Marcel Bogers, Vittorio Chiesa and Federico Frattini, Creating and capturing value from Big Data
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Feng Li, (2018|). The digital transformation of business models in the creative industries: A holistic framework and emerging trends
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MIT Review Technologies
Teaching method
There will be a group project. In this project, students will be grouped into small teams and tasked with selecting an emerging technology and analyzing its potential and future prospects using the principles of emerging technologies covered in this course. Alternatively, this can be done within the context of a specific company or a group of companies working with that technology. The results of this analysis are (1) a brief in-class presentation and (2) a written report that will be submitted at the end of the course. The objective of this project is to encourage independent research, explore and stimulate thinking about the applications of emerging technologies, and factors contributing to their success or failure.
Evaluation method
The course is based on theoretical-practical classes. The theoretical-practical sessions include the presentation of concepts and methodologies, solving examples, discussion, and interpretation of results. A set of exercises is also proposed to be solved independently outside of the classroom context.
Assessment:
Group project (40%) + Exam (50%) + Classroom participation (10%)
Passing the final exam is achieved with a grade equal to or higher than 9.5 points. Passing the final exam is mandatory for passing the course.
Subject matter
The curriculum is organized into 5 Learning Units (LU):
- Internet of Things (IoT) and cloud computing;
- Blockchain;
- Machine Learning/ Robotics Process Automation;
- Big Data e Analytics
- Virtual & Augmented Reality
Programs
Programs where the course is taught:
- Specialization in Risk Analysis and Management
- specialization in Information Systems - working hours
- PostGraduate in Data Analysis
- PostGraduate Risk Analysis and Management
- PostGraduate in Business Intelligence
- Post-graduation in Geospatial Data Science
- PostGraduate in Digital Enterprise Management
- PostGraduate in Information Management and Business Intelligence in Healthcare
- PostGraduate Information Systems Management