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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2022/2023
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School
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School of Civil Environmental and Land Management Engineering School of Industrial and Information Engineering
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Name
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(Master of Science degree)(ord. 270) - MI (495) Geoinformatics Engineering
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Track
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GEC - Geoinformatics Engineering - CS
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Programme Year
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1
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ID Code
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058026
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Course Title
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GEOFUNDAMENTALS [I.C.]
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Course Type
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Integrated Course
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Credits (CFU / ECTS)
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10.0
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Semester
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First Semester
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Course Description
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Statistics. Observables and observations, random errors, normal distribution, variance and standard deviation, n-dimensional case and covariance matrix, mean and covariance propagation. Least squares principles and solution for linear and not linear problems. Chi square test.
Reference Frames. Earth structure and shape: geoid, ellipsoid, geoid ondulation and deflection, cartesian and geodetic coordinates. Spherical and local planar approximations.
Surveying. Instruments: bubble, theodolite, EDM, level, instrumental errors. Horizontal networks: observation equations, surveying schemes and adjustment. Trigonometric and gemetric levelling: vertical networks, observation equations, surveying and adjustment.
Cartography. History of mapping. The mapping process. Reference and projection surfaces. Perspective and analytical projections. Linear and surface scale factors. Conformal and equivalent maps. The UTM projection. Digital Terrain Models
Preliminaries: the components of the Earth system; environmental spheres; global change; tools for spatial analysis.
The atmosphere: global energy balance; temperature patterns; pressure, winds and global circulation.
The hydrosphere: hydrologic cycle, moisture and precipitation; global ocean, fresh water and cryosphere; weather and climate systems.
The geosphere: lithosphere, weathering and global soils.
The biosphere: fundamental ecological processes; biodiversity, biogeography and conservation threats; basic population dynamics and demography; sustainability of the biosphere.
Software Engineering for Geoinformatics
The course goal is to enable students to learn how to conceive, design and develop software applications for the geographical domain. The course will include the presentation and hands-on sessions on the following subjects: programming in Python, usage of geographical libraries in Python, identification and definition of requirements, software design, verification and validation, software development support tools.
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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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ICAR/06
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SURVEYING AND MAPPING
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5.0
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C
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BIO/07
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ECOLOGY
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5.0
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