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) - BV (479) Management Engineering
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Track
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AM - INDUSTRY 4.0
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Programme Year
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2
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ID Code
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055891
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Course Title
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DATA-BASED MODELLING OF DYNAMICAL SYSTEMS AND OPTIMAL CONTROL
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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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The course aims at providing students of the Management Engineering M.Sc. program with methods and tools for modelling dynamical systems in the different forms useful for control design and dynamic decision making. To do this, the course will explore 4 main pillars: i) learning models from data, by addressing data-based identification and estimation problems with examples from various application domains); ii) performing identification of dynamical models from data, considering an input/output setting to construct the best representation of the considered system; iii) using such models for forecasting: students will be shown how these models can be employed as a basis to design predictors of future system states and outputs; iv) using models in closed-loop decision-making: the course shows how the identified models can be used in closed-loop with optimal controllers with the aim of modelling different decision-making and planning processes that may occur in the domains of interest and explore their performance over a finite and infinite time horizon. Many practical examples of interest from different economical/production/management contexts will be employed to prove their impact in the application domains of interest for the students.
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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/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 | Tanelli Mara | |  |
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Details 
Class schedule planning