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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2018/2019
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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) - CO (482) Computer Science and Engineering
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Track
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T2E - EIT DIGITAL MASTER ON DATA SCIENCE
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Programme Year
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2
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ID Code
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088963
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Course Title
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PERVASIVE 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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10.0
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Semester
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First Semester
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Course Description
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Nowadays, the reduced capability to identify new resources and the increasing demand for safety, quality and new services forces any technology filed to identify a set of methods, criteria and solutions that would improve the existing making it more efficient, independent and secure. It is in this scenario that ICT performs its role due to its ability to transform the inherent characteristics of each object/environment into a logic programmed and adaptive and to "hide", pervading the environment, at the eyes of users. The aim of the course is to describe, for different areas of interest, design techniques, criteria for the development and existing and future technologies in the field of pervasive systems, focusing the attention on the need to make the systems autonomous, both from a of energy supply and the capacity to detect and tolerate failures (safety).
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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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10.0
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Schedule, add and remove | Alphabetical group | Professor | Language | Course details |
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From (included) | To (excluded) |
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-- | A | ZZZZ | Salice Fabio |  |  |
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