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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2014/2015
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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 (471) Biomedical Engineering
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Track
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BCT - Ingegneria per cellule tessuti e biotecnologie - Cells, tissues and biotechnology
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Programme Year
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1
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ID Code
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088779
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Course Title
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MODEL IDENTIFICATION AND DATA ANALYSIS 2
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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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Second Semester
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Course Description
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In many problems frequently encountered in engineering and science one has to estimate an unknown signal or an uncertain parameter. To this purpose, experimental data collected during a suitable experiment are processed. The aim of this course is to present the methods used for this transfer of the hidden information contained in data to the unknown. The basic technique is the Kalman filter, which is based on state space linear models and provides a recursive solution, suitable for real time implementation. The method is compared with other recursive estimation methods (RLS, etc.). Then the black box identification of state space models is studied. Finally, nonlinear identification methods are touched upon. The course is methodological in nature; however a significant test case from real data is presented.
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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/04
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SYSTEMS AND CONTROL ENGINEERING
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5.0
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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 | Garatti Simone |  |  |
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