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.
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)
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.
Course completely offered in italian
Course completely offered in english
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)
School of Industrial and Information Engineering
(Master of Science degree)(ord. 270) - MI (434) Engineering of Computing Systems
T2A - Sistemi e applicazioni dell'Informatica
VOLUNTEER AND CROWD-BASED APPROACHES IN COMPUTING
Credits (CFU / ECTS)
The outlook on volunteer and crowd-based approaches as a prolific trend for IT innovation is on the rise, as huge amount of (open/big) data, popular social networking and social sharing platforms, and plenty of devices or "things" in the IoT contexts are available. These trends allow identifying actual "crowds" of direct
or indirect contributors to targeted or broad initiatives. Finding and providing ways to aggregate and mining "crowd data" as well as to enroll devices while avoiding disruptions to the user experience is the main mission of the course.
The course is focused on volunteer and crowd-based approaches for computing systems.
In volunteer crowd-based systems it is important to identify both basic mechanisms and policies or strategies for regulating and governing crowd behaviors, in order to mitigate the effects of contribution churning as well as for an effective exploitation of the approach through adequate services and applications. This calls for addressing issues from different perspectives, requiring a trans/multidisciplinary approach. Specifically, the PhD course focuses both on the basic mechanisms, mainly covering infrastructure and architecture issues and aspects, and on policies and applications based on such mechanisms to provide added value services. This way, on one hand the course includes aspects as contribution management, subscription, enrollment, distributed paradigm for resource management, QoS, SLA, multi-platform invitation and execution of crowd tasks, credit reward systems, and on the other hand it deals with resource, task and data management aspects, information gathering, mining algorithms, expertise matching, etc.