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THE HARD PATH FOR THE TECHNOLOGICAL TRANSFORMATION

Syllabus

EN IT

Learning Objectives

LEARNING OUTCOMES: Basic understanding regarding the relevant topics


KNOWLEDGE AND UNDERSTANDING: Understanding and analysis regarding the relevant topics


APPLYING KNOWLEDGE AND UNDERSTANDING: Collecting relevant information about the topics in object to recognize the same one out of the learning environment.


MAKING JUDGEMENTS: Critical understanding about the relevant topics in nowadays context


COMMUNICATION SKILLS: Communications capabilities about the topics in objects to be shared with a no professional audience.


LEARNING SKILLS: Using the relevant topics as a baseline for further insights


Prerequisites

None

Program

Topics List:
What is Digital Transformation? (2h)
Cloud Computing (2h)
Big Data and Analytics (2h)
Internet of Things (IoT) (2h)
Artificial Intelligence (AI) and Machine Learning (2h)
Agile Methods (1h)
DevOps (1h)
Blockchain and Distributed Ledger Technology (DLT) (1h)
Robotic Process Automation (RPA) (1h)
Digital Workforce and Remote Collaboration (1h)
5G and Edge Computing (2h)
Digital Twin (1h)

Books

N/A

Bibliography

N/A

Teaching methods

Lessons will be in presence as well as from remote.
They will be lectures and interactive, with media and video contents.

Exam Rules

Final test will be composed by 60 multiple choice questions that, for each topic, will evaluate the learning path for:

- General understanding;
- Application fields;
- Future prospectives.

Evaluation criterias:
1-17: non suitable
18-30: suitable