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 | C | Similar or integrative 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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099334
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Course Title
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ADVANCED ELECTRONICS
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Course Type
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Mono-Disciplinary Course
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Credits (CFU / ECTS)
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5.0
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Semester
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First Semester
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Course Description
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Solid state electron devices for electronics: BJT, JFET, MOSFET, MESFET and HEMT transistors: static and dynamic characteristics and parameters.
Noise in electron devices and circuits: Physical origin of electronic noise, noise power spectral density, r.m.s. values, Signal/Noise ratio, thermal, shot and 1/f noises. Noise characteristics and modeling of Resistors, Diodes, BJT, JFET, MOSFET;MESFET, HEMT. Noise in Operational Amplifier. Noise analysis of multi-stage amplifiers.
Electronic circuits for analog signal processing: Differential and instrumentation amplifiers, design of low-noise preamplifiers, design of wide-bandwidth amplifiers, design of active filters. Distortion and noise analysis and measurement. Application Specific Integrated Circuits.
Semiconductor sensors: mechanical, magnetic, radiation, thermal and chemical sensors. Acoustic sensors and microphones: sensitivity, directionality, frequency response, dynamic range, noise, impedance; MEMS technology. Front-end electronics for sensor readout.
Sampling and A/D - D/A conversion: Sample & Holds, Advanced ADC's and DAC's for signal conversion.
Experimental Laboratory: experimental analysis of a multi-stage signal processing electronics
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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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C
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ING-INF/01
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ELECTRONIC ENGINEERING
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5.0
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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 | Bertuccio Giuseppe |  |  |
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