Teaching code

4S009003

Credits

6

Coordinator

Franco Fummi

Language

English

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Moodle Seminars 0

The teaching is organized as follows:

Learning outcomes

The course aims at providing the following knowledge: techniques for the automatic design of embedded and industrial IoT systems, starting from their specifications to go through verification, automatic synthesis and testing. Main languages to deal with this kind of project and the most advanced automatic tools for their manipulation. This is in particular applied to the design, verification and test of cyber-physical production systems.

At the end of the course the student will have to demonstrate that he/she has the following skills to apply the acquired knowledge: identify the best architecture for an embedded and industrial IoT system from the specifications; model, design and verify complex analog / digital devices; develop embedded software and interact with IoT and cloud architectures; partition a functionality between hw, sw with attention to the network and operating systems; build project report highlighting the critical aspects resolved; be able to use additional languages for the design of embedded and industrial IoT systems starting from the ones studied in the course.

Program

* Embedded and IoT Systems Modeling:
- Course introduction
- Embedded systems modeling
- SysML for systems modeling
* System Level Description Languages
- SystemC-based design
- SystemC TLM
* Hardware Description Languages:
- HDL introduction
- VHDL syntax
- verilog syntax
- HDL timing simulation
* Register Transfer Level Synthesis:
- RTL synthesis: VHDL
- RTL synthesis: Verilog
* High-Level Synthesis:
- High-level synthesis (HLS) intoduction
- High-level synthesis scheduling
- High-level synthesis allocation
- High-level synthesis application
* Platforms and Virtual Platforms:
- Virtual platform modeling: IP-Xact
- Virtual platform design and FMI
- SystemVerilog introduction
- SystemVerilog main characteristics
- SystemC & Verilog AMS
* Embedded Software:
- Embedded software modeling
- Model-based design of embedded software
- Embedded AI software modeling
* Industry 4.0 – CPPSs:
- Industry 4.0: software hierarchy
- Industry 4.0: digital twin
- IoT and Industrial IoT
- IoT and Cloud

On-line lectures following the official calendar on: https://univr.zoom.us/j/84729760071

Bibliography

Examination Methods

The exam is composed of two parts: theory and laboratory report.
To pass the exam, the students must show:
- they have understood the principles of embedded and IoT system architectures;
- they are able to model and simulate a complex embedded and IoT system;
- they are able to design, verify and test a complex digital device;
- they are able to develop embedded software interacting with network and operating system;
- they are able to apply the acquired knowledge to solve application scenarios in the context of Industry 4.0.

The final exam consists of a written test containing questions and exercises.
A report of all laboratoty classes must be provided to complete the exam.