EXPONENTIAL CODING WITH AI AND DATA MANAGEMENT
Stampa
Anno immatricolazione
2020/2021
Anno offerta
2020/2021
Normativa
DM270
SSD
SECS-S/01 (STATISTICA)
Dipartimento
DIPARTIMENTO DI SCIENZE ECONOMICHE E AZIENDALI
Corso di studio
INTERNATIONAL BUSINESS AND ENTREPRENEURSHIP - MANAGEMENT INTERNAZIONALE E IMPRENDITORIALITĂ€
Curriculum
Digital Management
Anno di corso
Periodo didattico
Primo Semestre (28/09/2020 - 22/12/2020)
Crediti
9
Ore
66 ore di attività frontale
Lingua insegnamento
English
Tipo esame
SCRITTO E ORALE CONGIUNTI
Docente
Prerequisiti
Basic computer skills.
Obiettivi formativi
The course is designed to be practically theoretical. We will cover enough theory to develop a frame of reference on which to build practical skills. In parallel, through exercises and projects, we will internalize theoretical concepts and reinforce our theoretical understanding.

Upon successful completion of this course, you will be able to:
- understand the main concepts of AI
- understand how AI can exponentially accelerate businesses
- use IBM’s Watson Assistant in real-life scenarios
- code in Python and apply your knowledge to Data Science problems
- understand the impact of Data Management on contemporary businesses
- recognize various database models and write simple queries
Programma e contenuti
The course will be split into three thematic sections:

Artificial Intelligence and Watson Assistant
- Artificial Intelligence: from daily life through Enterprise vision (with Watson Assistant)
- Knowledge Management (with Knowledge Studio)
- Data Science
- Machine Learning & Open Scale
- Computer Vision
- Visual Recognition
- Design Thinking

Python Lab
- Introduction to Python
- Conditional Statements & Functions
- Iterations & Strings Operations
- Collections
- Library import & External data sources

Data Management
- Data Management & Business Strategy
- Data Management Systems
- Database Design
- Querying databases
Metodi didattici
Flipped class
Lectures
In-class practical exercises
Case study discussion

(Depending on the development of the COVID-19 epidemy and the sanitary norms, this can change. Part of the course or all the lessons may be delivered online.
In any event, class materials and recordings will be delivered online, permitting students in remote locations to follow the course).
Testi di riferimento
- T. Markiewicz & J. Zheng, 2018, Getting Started with Artificial Intelligence, O'Reilly.
- Ch. Severance, 2016, Python for Everybody.

(Both e-books will be given to you at the beginning of the semester).
Modalità verifica apprendimento
- Team project
- Individual written test
Altre informazioni