ITU face-to-face Course on

“Internet of Things, Big Data
and Artificial Intelligence:
technical, business and regulatory aspects”

22 – 23 October 2020

Warsaw, Poland

Course Description

This course will focus on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It will cover Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course will include IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data. In that manner, the course will include Big Data overview, Big Data ecosystem and reference architecture, Big Data technologies and use cases, as well as business and regulatory challenges for Big Data. Artificial Intelligence (AI) is targeted for processing Big Data in Internet and telecom networks. In that regard the course will cover introduction to AI in ICT/telecom world, and AI applications in Internet and telecom worlds, including Machine Learning aspects for 5G mobile networks. The course will further include Big Data and AI challenges, business aspects, as well as policies and regulation. Finally, the course will cover Internet governance with regard to IoT, Big Data, and AI.

Target Population

This course is targeted at managers, engineers and employees from regulators, government organisations, telecommunication companies and academia, who are interested in understanding, implementation and regulation of Internet of Things (IoT), Big Data and Artificial Intelligence (AI), including technical, business and regulatory aspects. Other institutions and individuals that are dedicated in building their capacity related to IoT, Big Data and AI, including technical, business and regulatory aspects, are also welcome to participate.

Expected Outcomes

At the end of the training, the participant should have gained an understanding
of the key aspects of:

Course Content

    Lecture 1.

    Lecture 2.

    Lecture 3.

    Lecture 4.

    Lecture 5.

    Lecture 6.

    Lecture 7.

    Lecture 8.

    Lecture 9.

    Lecture 10.

An example of the course materials.

Trainer

Prof. dr Toni Janevski

Dr. Toni Janevski is a Full Professor in Telecommunications at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, Macedonia.

He received his Dipl. Ing., M.Sc. and Ph.D. degrees in electrical engineering from the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, in 1996, 1999 and 2001, respectively.

In the past, during 1996-1999 he has worked at the Macedonian GSM 900 mobile operator Mobimak (today T-Mobile, Macedonia) on the cell planning and dimensioning of cellular network, as well as traffic and performance analyses.

From 1999 he is with Faculty of Electrical Engineering and Information Technologies in Skopje.

In 2001 he has conducted research in optical communication at IBM T. J. Watson Research Center, New York. From May 2005 until October 2008 he was member of the Commission of the Agency for Electronic Communications (AEC) of Republic of Macedonia.

He is the author of the books titled “Traffic Analysis and Design of Wireless IP Networks”, which is published in 2003 by Artech House Inc, Boston, USA and “Internet Technologies for Fixed and Mobile Networks”, Artech House, USA, November 2015.

He has published more than 100 scientific papers.

He lectured and tutored ITU (International Telecommunication Union) workshops and elearning courses on: WiMAX, Broadband Communications and Access Networks, HSPA and LTE: towards the Next Generation of Mobile Networks, Emerging Information and Communication Technologies, Next Generation Networks, The Networks of The Future, technical Aspects of LTE Systems Implementation.

His interests include Internet Technologies, Mobile, Wireless and Multimedia networks, Information Technology, Traffic Theory, Quality of Service, as well as Dimensioning, Planning and Optimization of Telecommunication Networks.

He is a Senior Member of IEEE.

Course Date (Duration)

22 – 23 October 2020 (2 days)

Participation fees

500 USD

Delivery Method

Face to face course.

Venue: National Institute of Telecommunications (NIT), Szachowa 1, 04-894, Warsaw, Poland

Evaluation

At the end of the course participants will take part in a written test checking the level of knowledge gained during the training.

Registration and Payments

STEP 1 – Login into ITU Academy

In order to access this course you need to have a valid account in ITU Academy. First, you should login into the ITU Academy with your ITU Academy account via the login page: https://academy.itu.int

If you have no valid account in ITU Academy Create new account

STEP 2 – Registration into this course

After login into ITU Academy, select the course “Internet of Things, Big Data and Artificial Intelligence: technical, business and regulatory aspects” by using the link:

Download

1. Invitation letter

2. Training Outline

 

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