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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2020/2021
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School
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School of Design
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Name
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(Master of Science degree)(ord. 270) - BV (1162) Communication Design
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Track
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*** - Non diversificato
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Programme Year
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2
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ID Code
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053669
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Course Title
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DATA MANAGEMENT FOR THE WEB
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Course Type
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Mono-Disciplinary Course
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Credits (CFU / ECTS)
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6.0
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Semester
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First Semester
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Course Description
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This course deals with the new technologies and applications that characterize the Web, seen as a large information system; the course can be seen as one of the many possible continuations of Database 2, which builds upon the foundations of information retrieval - a subject which is not covered in the basic data management courses - and then turns to web information retrieval, the key technology of search engines. Information retrieval will cover classical aspects: text processing, index structures, classic data retrieval methods, retrieval evaluation. Web information retrieval will include: search engine evolution, modeling the Web, Web crawling, link analysis, the PageRank and Hits methods. Then the course touches several monographic topics: semantic, multimedia, and social Web, human computing, natural language processing for IR, technologies for massive web data management (hadoop) and for stream data management. Applied lessons will be dedicated to Sparql and HTML5. Most monographic lectures will be through invited guest lecturers.
The format of the course is atypical and experimental. Students will be asked to participate to small projects (for 3 credits). For this reason, the first two lessons of the course will be dedicated to the Search Computing research project, which will inspire most of the proposed students' projects. These will be presented during the third lesson of the course and then monitored through follow-up and feedback, using the format which has proven to be successful in Alta Scuola Politecnica. The project selection will be performed by students, who after project presentations will indicate their preferences; matching will attempt to satisfy the majority of students while at the same time allocating students to the majority of projects. In addition, students will be asked to perform readings out of a reading list of numerous papers, and then to present (mostly orally, in some cases in written form) their personal interpretation of the reading; presentations or papers will contribute to the evaluation for the residual 2 credits. The reading list will also be provided at the beginning of class. A maximum of 40 students will be evaluated with this method, determined on a FIFO basis. Should some students be excluded by this constraint, they will be graded through a conventional written exam followed by an oral discussion relative to all the lessons of the course and to some of the student's presentations.
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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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6.0
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Schedule, add and remove | Alphabetical group | Lecturer(s) | Language | Teaching Assignment Details |
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From (included) | To (excluded) |
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--- | A | ZZZZ | Ceri Stefano |  |  |
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