INNOVATIVE TELECOMMUNICATION SYSTEMS
- Overview
- Assessment methods
- Learning objectives
- Contents
- Delivery method
- Teaching methods
- Contacts/Info
There are no pre-conditions to overcome the exam of Innovative Telecommunication Systems.
The exam is aimed at assessing the acquisition and correct understanding of the topics presented during the course and provided through the slides, and an assessment of the critical analysis’s ability and judgment autonomy on the main topics of the course itself. The exam consists of a written test and the development of a project on a topic assigned by the professor. The final grade is awarded in thirty and it is obtained taking into account both the written test and the project. In particular, the written test represents 2/5 of the final grade, while the remaining 3/5 derives from the project. The evaluation criteria will be as follows: number of correct answers evaluated on the basis of the ability to summarize the acquired knowledge, showing the acquired ability to independently identify the theoretical elements to be used to solve the proposed problems and to develop a solution strategy. The final grade will also evaluate the communication ability, shown in exposing the answers to the submitted questions and the ability to properly motivate statements, analysis and judgments. The exam consists of four questions, which allow to achieve up to 6/30 score, and an exercise which allows to achieve up to 7/30 score. The exam is succeeded with a minimum grade of 18/30.
The main goal is to improve the skills acquired during the BS course, entitled Internet of Things Fundamentals, and to provide an in-depth knowledge of the latest generation telecommunication systems. The module aims to provide the necessary knowledge and skills for the design and testing of innovative telecommunication systems in order to create dynamic and skilled professional figures, with respect to the current market requests. In the program, the addressed topics are selected on the basis of two criteria: a topic which represents a fundamental knowledge in the current technology landscape and/or a topic characterized by many real applications. To this end, the goals are:
1. the deep study of the Internet of Things paradigm and the various technologies connected to it, and the performance evaluation by means of simulation tools. In fact, different simulation environments will be analyzed, in order to be able to critically choose the most suitable solution to realize the desired system
2. the ability to identify a problem and solve it by means of a professional approach
3. the acquisition of transversal skills, such as language skills, written communication skills, and judgment autonomy. In fact, the module will try to motivate the student's critical attitude in evaluating the various solutions. The student will be able to make a judgment on the eligibility of the obtained results, motivating it on the basis of the acquired knowledge by means of a systematic and scientific approach
4. the knowledge of the constant technological innovations and the development of innovative solutions that meet the requirements based both on the knowledge, gained through the lessons and experience in the laboratory. Finally, the module will train the student by taking part in the open and debated issues within the scientific community and by identifying possible future developments.
• General introduction (1h)
• Internet of Things paradigm (4h) (Objectives 1,3)
• Application scenarios (2h) (Objectives 3, 4)
• Technologies, protocols and standards: (Objectives 1,3)
o WSN and WMSN (5h)
Emulators: Contiki, Cooja
Simulators: Omnet, Castalia
Security
o RFID (4h)
o NFC (2h)
o Nanotechnologies (2h)
o MQTT, COAP, RPL, 6LowPAN, ZigBee (7h)
o Information Centric Networks paradigm (2h)
• Security and privacy (3h) (Objectives 3, 4)
Frontal lectures in presence of the professor, with the help of slides provided in electronic format, available on the e-learning platform, for a total of 32 hours, 12 hours of exercises and 16 hours in laboratory. In fact, the topics, addressed during the frontal lessons, are object of exercises and actively involve the students. In particular, during the exercises, the students apply, under the professor’s guidance, the languages and the protocols, acquired during the frontal lessons. Finally, during laboratory, the technologies, the languages and the protocols, described during the frontal lessons and exercises, are implemented, in order to carry out the project for the exam.
Students’ reception will take part before and after the lessons, tutoring via e-mail, or at the department fixing an appointment by e-mail.
Professors
Borrowers
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Degree course in: COMPUTER SCIENCE