Degree | Type | Year |
---|---|---|
Management of Smart and Sustainable Cities | FB | 2 |
You can view this information at the end of this document.
There are no prerequisites related to this subject, although it will be useful to have computer and statistics skills.
The subject will provide the necessary elements to acquiere and understand the cartographic conceptions for the spatial representation of territorial dynamics.
A Smart City aims to provide a high quality of life, consuming the least resources. However, in order to represent urban dynamics and analyze the city, it is essential to acquire and understand the cartographic conceptiosn for the spatial representation.
Theme 1. Introduction to cartography
Theme 2. Principles of geospatial representation: points, lines and polygons
Theme 3. Territorial scales and their functions
Theme 4. Cartograhic projections and their functions
Theme 5. Symbolization of information and graphic design
Theme 6. Data sources
The schedule, with the sequencing of the themes and the assessment activities, will be uploaded to the virtual campus at the beginning of the course.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Home assignments, activities and self-teaching | 43 | 1.72 | |
Lectures | 20 | 0.8 | |
Type: Supervised | |||
Assignments | 25 | 1 |
Theoretical concepts are introduced and reinforced through the instructor’s oral presentations, as well as through independent student work with specific materials and dynamic learning activities proposed by the course instructor.
Technical and instrumental skills are developed through a series of guided practical sessions conducted during class time or completed individually and/or in small groups in an independent manner.
All data and course materials will be made available on the Virtual Campus, which will be used as the main channel of communication.
Note: Fifteen minutes of one class, as scheduled by the department or degree program, will be reserved for students to complete evaluations of teaching performance and the course/module.
Use of Artificial Intelligence
The use of Artificial Intelligence (AI) technologies is permitted in this course as part of completing assignments, provided the final result reflects a significant personal contribution from the student in terms of analysis and critical reflection. Students must: (i) identify which parts have been generated using AI; (ii) specify the tools used; and (iii) include a critical reflection on how these tools have influenced the process and the final outcome of the assignment. Failure to be transparent about the use of AI in assessable activities will be considered academic misconduct and will result in a grade of zero for the affected work, with no opportunity for recovery, or even more severe penalties in cases of serious breaches.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Autonomous practical work | 40 | 30 | 1.2 | CM09, KM14, SM13 |
Final work. Cartographic composition and data sources search | 20 | 26 | 1.04 | CM09, KM14 |
Theory and practical tests | 40 | 6 | 0.24 | CM09, KM14, SM13 |
IMPORTANT
This course/module does not offer a single-assessment option.
CONTINUOUS ASSESSMENT
Assessment Components
Criteria for Assessment
Student evaluation is based on independently completed practical assignments. At least 80% of these assignments must be submitted within the deadlines set by the instructor. Students who do not meet this requirement will not be allowed to sit the exam, and their final grade will be recorded as “Not Assessable.”
Attendance will be monitored in both theoretical and practical sessions. Students must attend at least 80% of scheduled sessions to be eligible for evaluation. Otherwise, the final grade will be “Not Assessable.” Students who successfully complete the course and meet the attendance requirement will receive a 5% bonus on their final grade.
Optional Assignments
Throughout the course, several dynamic and optional learning activities may be offered to further students’ learning. Submission of these assignments is voluntary.
Requirements to Pass the Course
The theoretical-practical exams are graded separately for theory and practical components. The average of the two theory and two practical exam scores will only be calculated if both components have a minimum mark of 4. Exams are passed if the average for each component is at least 5. Both the theory and practical parts of the course must be passed individually with an average mark of 5 to be included in the final grade. For example, if a student scores 6 and 4 in the theory sections and 5 and 4 in the practical sections, they will not meet the minimum requirements,since the averages are 5 (theory) and 4.5 (practical); both components must reach at least 5. In this case, the student may retake one or both components.
If a student fails the course, the official grade will reflect their actual assessment results.
Other Relevant Information
It is important to note that assessment activities will only be scheduled at the designated times. Exceptions are only possible with a justified reason, advance warning, and with instructor approval. Missed activities for other reasons cannot be recovered.
Resit (Retake) Policy
If, after the ordinary assessment, a student fails, they may sit for a resit exam on the dates scheduled by the Faculty, under the same conditions as the main exam: at least 80% of practical assignments must have been submitted. Passing the course after failing the main exam requires passing the resit exam.
Both theoretical and practical exam components may be retaken. Failed practical assignments may only be retaken if their average is less than 5 and only if the assignment was submitted. The maximum grade for retaken assignments is 6.
Review of Grades
For each assessed activity, a specific time and place for grade review will be set. During this review, students may discuss their grades with the instructor. Appeals regarding grades will be considered by the responsible instructor. If a student does not attend the review, there will be no further opportunity to review that activity.
Grades and Distinctions
The awarding of Distinction or “Honors” is at the discretion of the instructor responsible for the subject. According to UAB regulations, Honors may only be awarded to students with a final grade of 9.00 or higher. A maximum of 5% of enrolled students may receive this distinction. A student will be marked as “Not Assessable” if they have not participated in activities amounting to at least 80% of the total course grade.
Academic Integrity: Misconduct and Plagiarism
Assessment activities found to involve academic misconduct are not recoverable. If passing such an activity is required to pass the course, the course will automatically fail with no possibility for recovery in the same academic year. Examples of misconduct include, but are not limited to:
Assessment for Repeating Students
Repeating students cannot revalidate grades from practical assignments from previous years. In accordance with academic regulations, any detected irregularity that may affect the grade will result in a zero (0), regardless of other disciplinary measures that may be imposed.
Online resources
A specific GIS software is used to complete the course: MiraMon (free for students).
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PAUL) Classroom practices | 612 | Catalan | first semester | afternoon |
(PLAB) Practical laboratories | 611 | Catalan | first semester | afternoon |
(PLAB) Practical laboratories | 612 | Catalan | first semester | afternoon |
(TE) Theory | 61 | Catalan | first semester | afternoon |