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 Industrial and Information Engineering
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Name
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(Master of Science degree)(ord. 270) - MI (474) Telecommunication Engineering
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Track
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Z2D - INTERNET ENGINEERING
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Programme Year
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2
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ID Code
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054318
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Course Title
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AUDIO AND VIDEO SIGNALS
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Course Type
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Integrated 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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This course is split into two modules: the video and the audio one. Visual information plays an important role in almost all areas of our life. Today, much of this information is represented and processed digitally. Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing. "Video Signals" is a graduate-level introductory course to the fundamentals of digital image processing. The goal is to provide the students with the knowledge to handle algorithms for visual information processing and to develop novel approaches for specific applications. In addition to visual information, also audio signals are part of everybody's life. The goal of the course is to provide students with advanced audio signal processing skills and knowledge. In this course we first present the fundamental tools for analyzing, synthesizing and processing sounds (voice, music, acoustic signals). We then show how to use such tools for developing a wide range of applications, ranging from music information retrieval to acoustic array processing. Topics are treated both theoretically and practically.
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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/03
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TELECOMMUNICATIONS
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10.0
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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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Details 
Class schedule planning 