Degree | Type | Year | Semester |
---|---|---|---|
2503743 Management of Smart and Sustainable Cities | OB | 3 | 1 |
For the full understanding of the contents of the course, it is convenient to have a basic ability in programming and a good knowledge of how programs execute in computers. For this, you should have completed Computer science, Internet applications’ programming, and Digitalization and microcontrollers courses.
This subject is the first within the subject of Cyber-Physical Systems, in which cities are treated as proper cyber-physical systems where software is combined with the city. In this sense, the data that is collected from urban environments is transmitted and processed for decision making, which ultimately ends up in control actions that affect the same urban environments.
In this context, the Cyber-physical systems' course objective is that students acquire the following competences:
Teaching is structured in the following face-to-face activities:
There is a very important part of team work outside the classroom and the laboratory. In this sense, each member of each team will have to assume different roles for each assignment. This also means having to work in an organized way and know how to work autonomously when appropriate.
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 | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Attendance and participation in theory classes | 22 | 0.88 | 3, 5, 6 |
Laboratory: Course project development | 12 | 0.48 | 1, 2, 4, 8, 7 |
Problem solution proposals and discussion | 12 | 0.48 | 1, 2, 4, 8, 7 |
Type: Supervised | |||
Course project follow-up | 6 | 0.24 | 2, 8, 7 |
Tutoring: Additional problem-solving activities | 6 | 0.24 | 1, 2, 4, 8, 7 |
Type: Autonomous | |||
Course project development and report writing | 12 | 0.48 | 1, 2, 4, 8, 7 |
Problem-solving | 24 | 0.96 | 2, 4, 7 |
Study | 26 | 1.04 | 3, 5, 6 |
a) Procedure and assessment activities’ plan
The assessment is continuous with specific activities (exams and assignments) throughout the course. These assessment activities generate a series of grades that determine the final grade.
The calculation of the final grade, n, follows the expression:
n = max( x·50% + c·25% + p·25%, x·75% + p·25% )
where x, c, and p are the grades of the exam, continuous assessment, and project parts, respectively.
The final grade will be, at most, 4.5 if x or p <5. In other words, exam and project must be passed separately.
Note that, in case the continuous assessment does not improve the final grade, it is disregarded, thus the final grade is the maximum of the grades with or without the continuous assessment.
The exam grade (x) is the grade obtained from the final exam, which can be retaken.
Continuous assessment grade (c) is calculated from a weighted average of continuous assessment tests along the course. Typically, there will be three of these.
The grade awarded for the project (p) will be the result of a weighted average of the grades of the follow-up reports and the final report and project defense. For a total of 6 laboratory sessions there will be 5 follow-up reports, which count 10% each, and 1 final report and project defense (50%).
b) Assessment activities schedule
The dates of the continuous assessment theory and problem-solving tests, assignment submission deadlines will be published on the Campus Virtual (CV) and may change to adapt to eventual incidents: it will always bereported previously through the CV since it is understood that it is the usual communication platform between lecturers and students outside the classroom.
c) Re-assessment procedures
Late submissions, subject to prior notice, will be accepted and penalized with a lower grade. Late submissions without prior notice or justification of force majeure will not be accepted. A second submission period may be opened for reports that receive a negative evaluation. Unaccepted or unsubmitted assignment reports will be scored 0 and will not have the option of a second assessment.
In accordance with the coordination of the Degree and the deanship of the School of Engineering, the following activities cannot be re-assessed:
- Project, 25% of the final grade
The continuous assessment can be made up by the final examination.
There is a make-up exam for the final examination, too.
d) Assessment review procedure
Assessment activities can be reviewed any time after corresponding grades are published and before the deadline for the revision of the final exam.
Should the change of a grade be agreed upon, that grade may not be modified in a later review.
No reviews will be done after the closure of the reviews of the final exam, but for the make-up exam.
e) Grading
A “non-assessable” grade will be assigned to students that have not participated in any assessment activity nor have attended any laboratory sessions. In any other case, not participating in an assessment activity, including unattendances to lab, is scored with a 0 for calculating the weighted average.
Honourswill be awarded to those who obtain grades greater than or equal to 9.0 in each part, up to 5% of those enrolled in descending order of final grade. They may also be granted in other cases, provided that they do not exceed 5% and the final grade is equal to or greater than 9.0.
f) Irregularities, copies and plagiarism
Copies are evidences that the work or the examination has been done in part or in full without the author's intellectual contribution. This definition also includes attempts of copying in exams and reports, and violations of the norms that ensure intellectual authorship. Plagiarisms refer to the works and texts of other authors that are passed on as their own. They are a crime against intellectual property. To avoid plagiarism, quote the sources you use when writing the corresponding work reports or examinations.
In accordance with the UAB regulations, copies or plagiarisms or any attempt to alter the assessment result, for oneself of for others, like e.g. letting other copy, imply a final grade for the corresponding part (exam, continuous assessment or project) of 0 in the computation of the final score and failing the course. This does not limit the right to take action against perpetrators, both in the academic field and in the criminal.
g) Assessment of repeaters
There is no differentiated treatment for repeaters, but they can take advantage of their own material from the previous year provided it is informed in the corresponding reports.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Continuous assessment tests (3) | 25 | 6 | 0.24 | 3, 4, 5, 7, 6 |
Final examn | 50 | 2 | 0.08 | 3, 4, 5, 7, 6 |
Final project report and defense | 12,5 | 10 | 0.4 | 1, 2, 4, 8, 7 |
Follow-up project reports (5) | 12,5 | 10 | 0.4 | 1, 2, 4, 8, 7 |
Make-up exam | 50 | 2 | 0.08 | 3, 4, 5, 7, 6 |
Edward A. Lee and Sanjit A. Seshia. (2017) Introduction to Embedded Systems, A Cyber-Physical Systems Approach, Second Edition, MIT Press.
A course alike but with much more theoretical background. (See also: https://ptolemy.berkeley.edu/)
Ll. Ribas Xirgo. (2014). How to code finite state machines (FSMs) in C. A systematic approach. TR01.102791 Embedded Systems. Universitat Autònoma de Barcelona. [https://www.researchgate.net/publication/273636602_How_to_code_finite_state_machines_FSMs_in_C_A_systematic_approach]
Explains a method to program state machines in C which resembles the one presented in the course.
Ll. Ribas Xirgo. (2011). “Estructura bàsica d’un computador”, Capítol 5 de Montse Peiron Guàrdia, Lluís Ribas i Xirgo, Fermín Sánchez Carracedo i A. Josep Velasco González: Fonaments de computadors. Material docent de la UOC. OpenCourseWare de la UOC. [http://openaccess.uoc.edu/webapps/o2/handle/10609/12901]
It describes the state-based machine model, the algorithmic machines, and the digital systems’ basic architectures that are used in the course from a different perspective, though.
M. J. Pont. (2005). Embedded C. Pearson Education Ltd.: Essex, England.
It shows how embedded systems are programmed, topic also treated in the course problem-solving part and laboratory. Therefore, it’s an interesting complementary material.
Brian Bailey, Grant Martin and Andrew Piziali. (2007). ESL Design and Verification. A Prescription for Electronic System-Level Methodology. Elsevier.
It gives an overview of the embedded systems’ synthesis process and situates the course material, thus it’s a good complement.
Tim Wilmshurst. (2010). Designing Embedded Systems with PIC Microcontrollers. Principles and Applications (Second Edition). Elsevier.
Complementary information to that of the course on an embedded system for controlling a robot.
CoppeliaSim, EDU Version, Coppelia Robotics [https://www.coppeliarobotics.com/]
ZeroBrane Studio, ZeroBrane [https://studio.zerobrane.com/]
Draw.io, diagrams.net [https://app.diagrams.net/]