DIGITAL LAND MANAGEMENT SYSTEMS
PIATTAFORME DIGITALI PER LA GESTIONE DEL TERRITORIO
| A.Y. | Credits |
|---|---|
| 2015/2016 | 6 |
| Lecturer | Office hours for students | |
|---|---|---|
| Alessandro Bogliolo |
Assigned to the Degree Course
| Date | Time | Classroom / Location |
|---|
Learning Objectives
The course is aimed to provide the theoretical and practical knowledge of the enabling technologies of digital land management, with the deep understanding of the key issues and of the criteria to be adotted in the design and adoption of suitable solutions.
Program
01. Introduction
01.01 Dimensions: Space, Time, Information
02 Elements
02.01 Land
02.02 People
02.03 Objects
02.04 Processes
02.05 Quantities
03 Main functionalities
03.01 Sensing
03.02 Localization
03.03 Communication
03.04 Storage
03.05 Processing (Analysis, Optimization, Simulation, Strategy design and implementation)
03.06 Access and Visualization
03.07 Control
04. Infrastructure
04.01 Positioning systems
04.02 Cloud
04.03 Internet-enabled objects and IoT
04.04 Smartphones
04.05 WSNs and ad hoc networks
04.06 Tags
05. Data
05.01 Models
05.02 Meta data
05.03 Big data
05.04 Geo-spatial data processing
05.05 Main commercial datasets
06. Sharing, Openness and Reuse
06.01 Open Source Software
06.02 Open Hardware
06.03 Crowd Sourcing
06.04 Open Data
06.05 * as a Service
07. Case studies
07.01 Platforms
07.02 Applications
07.03 Succesful examples and “Epic fails”
08. Open issues
Bridging Courses
Although there are no mandatory prerequisites for this exam, students are strongly recommended to take it after Geomatics, Computer Networks, Databases, and Probability and Statistics.
Learning Achievements (Dublin Descriptors)
Students must demonstrate to know the role, the functioning, and the integration isues of the key elements of a digital platform for land management.
Styudents must demonstrate the deep understanding of the concepts and issues related with digital land managment.
Students must demonstrate the capability of exploiting their knowledge and comprehension of the topics of the course to conduct a critical analysis of the application scenarios and to design and adopt the most suitable solutions.
Teaching Material
The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it
Supporting Activities
Labs
Teaching, Attendance, Course Books and Assessment
- Teaching
Theory lectures and laboratory exercises, both face-to-face and on-line.
- Attendance
Although recommended, course attendance is not mandatory.
- Course books
Lecture notes and handouts provided by the instructor.
- Assessment
Individual or group project, written exam and (optional) oral exam.
The project, which has to be submitted at least three days before the oral exam, is passed if the mark (which is valid for all the exam calls of the same Academic Year) is at least 18/30.
The written exam is passed if the mark (which is valid for all the exam calls of the same Academic Year) is at least 18/30.
The oral exam, which can be taken only if the project and the written exam have been passed, determines a spread between -5/30 and 5/30 of the average of the two previous marks, thus yielding the final mark.
There are no limitations to the number of trials per session per year.
The project and the written exam can be taken in any order.
If a student decides to take the written exam more than ones before taking the oral exam, the mark of the last trial is the one used to compute the final mark.
- Disability and Specific Learning Disorders (SLD)
Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.
To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.
Additional Information for Non-Attending Students
- Teaching
Theory lectures and laboratory exercises, both face-to-face and on-line.
- Attendance
Although recommended, course attendance is not mandatory.
- Course books
Lecture notes and handouts provided by the instructor.
- Assessment
Individual or group project, written exam and (optional) oral exam.
The project, which has to be submitted at least three days before the oral exam, is passed if the mark (which is valid for all the exam calls of the same Academic Year) is at least 18/30.
The written exam is passed if the mark (which is valid for all the exam calls of the same Academic Year) is at least 18/30.
The oral exam, which can be taken only if the project and the written exam have been passed, determines a spread between -5/30 and 5/30 of the average of the two previous marks, thus yielding the final mark.
There are no limitations to the number of trials per session per year.
The project and the written exam can be taken in any order.
If a student decides to take the written exam more than ones before taking the oral exam, the mark of the last trial is the one used to compute the final mark.
- Disability and Specific Learning Disorders (SLD)
Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.
To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.
Notes
The course is offered both face-to-face and on-line within the Laurea Degree Program in Applied Computer Science.
| « back | Last update: 11/07/2016 |
