With this function you can construct your weekly calendar of lessons, which is customized on the basis of the courses that you intend to follow. Warning: the personal schedule does not replace the presentation of the study plan! It's an informal tool that can help you better manage the organization of class attendance before the study plan presentation. After the study plan presentation we recommend you to use the Lecture timetable service in your Online Services.
To create your customized schedule follow these instructions:
- Click on the "Enable" link to proceed. You will be asked your surname and first name in order to determine your alphabetic grouping.
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To add or remove courses from your personal schedule, use the small icons which are found next to the courses:
addition of the course
removal of the course
selection of the section of the Laboratory of Architecture (Note: the effective area in which the teaching will be carried out will be determined after the presentation of the Study Plans)
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The sidebar on the left displays the number of lessons included in schedule.
There are also these commands:
View the schedule: allows the viewing of the weekly synoptic schedule
Delete the schedule: cancels the selections made
When you have finished the entry, you can print the calendar you have made.
Semester (Sem) | 1 | First Semester | 2 | Second Semester | A | Annual course | Educational activities | B | Identifying activities | Language |  | Course completely offered in italian |  | Course completely offered in english | -- | Not available | Innovative teaching |  | The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching. These CFUs include:
- Subject taught jointly with companies or organizations
- Blended Learning & Flipped Classroom
- Massive Open Online Courses (MOOC)
- Soft Skills
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Academic Year
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2022/2023
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School
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School of Industrial and Information Engineering
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Name
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(Master of Science degree)(ord. 270) - MI (425) High Performance Computing Engineering
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Track
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HPC - High performance computing engineering
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Programme Year
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1
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ID Code
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057955
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Course Title
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NETWORKED SOFTWARE FOR DISTRIBUTED SYSTEMS
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Course Type
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Mono-Disciplinary Course
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Credits (CFU / ECTS)
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5.0
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Semester
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First Semester
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Course Description
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The course presents key technologies for the design and implementation of large scale network applications and complex distributed systems, including scenarios of high-performance computing, big-data analytics, event-driven architectures, Internet of Things, edge computing, and mobile robotics. The course favors a practical approach: the explanation of concepts and abstractions is tightly linked to their practical application, using the the most appropriate technology at hand for the considered scenario. In specific cases, dedicated hardware for experimentation will be provided by the lecturer, including for instance rapid prototyping kits for the Internet of Things, smart home devices, and mobile robots. These will be complemented by providing students with remote access to a real preconfigured home automation scenario available for the course. Verification of the learning outcomes is accomplished by the students throughout the course by means of dedicated lab sessions, or based on the design and implementation of a software artifact at the end of the course.
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Scientific-Disciplinary Sector (SSD)
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Educational activities
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SSD Code
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SSD Description
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CFU
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B
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ING-INF/05
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INFORMATION PROCESSING SYSTEMS
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5.0
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Innovative teaching
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The course includes 1.0 credits in Innovative Teaching as follows:
- Blended Learning & Flipped Classroom
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Schedule, add and remove | Alphabetical group | Professor | Language | Teaching Assignment Details |
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From (included) | To (excluded) |
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-- | A | ZZZZ | Mottola Luca |  |  |
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