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 | 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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2017/2018
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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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EEM - ENERGY AND ENVIRONMENTAL MANAGEMENT
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Programme Year
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2
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ID Code
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095118
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Course Title
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TECHNOLOGY FORECASTING AND RESEARCHING FUTURE
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Course Type
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Mono-Disciplinary Course
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Credits (CFU / ECTS)
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6.0
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Semester
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Second Semester
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Course Description
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The course provides theoretical and practical skills about the modern methodologies for technological forecasting and prediction of system evolution. More in details, it covers a set of methods and techniques facilitating study about future changes, starting from problems of forecasting, existing solution for prediction and their limitations. Then, the Researching Future methodology is presented in details, with practical examples to be run both individually and as teamwork. As a complementary toolkit, the course will introduce also software for S-curve analysis and TRIZ based techniques for anticipating the main features of future technologies. Finally, emerging approaches for long-term forecasting will be presented, with details about their main features, advantages and limitations in contexts of decision making and knowledge management.
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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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--
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ING-IND/15
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DESIGN METHODS FOR INDUSTRIAL ENGINEERING
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6.0
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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 | Kucharavy Dzmitry |  |  |
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