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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2019/2020
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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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Z2A - SIGNALS AND DATA ANALYSIS
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Programme Year
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1
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ID Code
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054312
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Course Title
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DIGITAL COMMUNICATION
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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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The goal of the course is to make students familiar with concepts of communication and information theory and with their application to the analysis and design of complex telecommunication systems. Moreover, the course provides students with the tools that are needed to understand and apply advanced technologies that are presently used in telecommunication systems. Also, understanding, analyzing and designing optical and radio communication systems is one of the objectives of the course. The first part of the course is finalized to teach students the basics of digital communication as bit rate and symbol rate, bandwidth, filtering of data signals, basics concepts of information theory, modulation and coding. Design of the transmit filter and of the receive filter in practical cases of interest, calculation of the limits of communication in terms of channel capacity, selection of the proper modulation scheme according to the constraints imposed by the system, performance evaluation of modulation and coding schemes are among the goals of the course. The second part of the course is finalized to teach students advanced concepts of digital communication as equalization, predistortion, synchronization, MIMO systems. The goal is to make the student familiar with these concepts and with their application to digital transmitters and receivers of radio and optical communication systems. Design of equalization algorithms in the presence of dispersive channels, predistortion algorithms for memoryless non-linear channels, carrier and timing synchronization systems, MIMO receivers are among the goals of the course. Also, learning the mathematical tools needed to understand how these systems work and how their performance can be analyzed is among the objectives of the course. The goal of using commercial software tools as Simulink and Matlab to encode software for the simulation of communication systems will be achieved by laboratory sessions.
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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 2.0 credits in Innovative Teaching as follows:
- Blended Learning & Flipped Classroom
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