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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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 (487) Mathematical Engineering
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Track
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MST - Applied Statistics
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Programme Year
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2
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ID Code
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054248
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Course Title
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RELIABILITY ENGINEERING AND QUANTITATIVE RISK ANALYSIS A+B
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Course Type
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Mono-Disciplinary Course
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Credits (CFU / ECTS)
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10.0
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Semester
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Second Semester
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Course Description
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Industry 4.0, the fourth industrial revolution, is driving extensive digitalization and interconnection of manufacturing processes and products. The technical enablers of this are recent disruptive technologies, such as advanced robotics, 3-D printing, high computing power and connectivity, new forms of human-machine interactions such as augmented-reality systems, data analytics for business intelligence, etc. These technologies are providing industry with the opportunity of offering new services and products to customers, with efficiency, standards of quality and reliability higher than before, which allow expanding the value chain by generating new business models that create value for customers and revenues for manufacturing companies.
On the other hand, the increase in information sharing and data availability offer new opportunities of analysis and assessment for reliability engineering and quantitative risk assessment, which enables the specialized, dynamic management of assets for the minimization of production downtime with maximization of production profit and the reduction of accident risk with minimization of asset losses.
This course addresses the reliability engineering and safety analyses issues and challenges related to modern industrial and service activities, and illustrates the mathematical models and quantitative methodologies for the evaluation, the management and the control of the associated risks. The models, methods, algorithms and tools presented allow modelling complex industrial components and systems and treating their data, with the objective of detecting, diagnosing and predicting anomalous conditions for anticipating failures and supporting effective design and maintenance practices.
Blended learning and flipped classes, and quantitative exercise classes are carried out in support to the comprehension of the material covered in class. Specialized technical topics are addressed with the help of external expert colleagues.
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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-IND/19
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NUCLEAR POWER PLANTS
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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:
- Subject taught jointly with companies or organizations
- Blended Learning & Flipped Classroom
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| Schedule, add and remove | Alphabetical group | Professor | Language | Course details |
|---|
| From (included) | To (excluded) |
|---|
| -- | A | ZZZZ | Zio Enrico | |  |
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Details 
Class schedule planning