Degree | Type | Year |
---|---|---|
2503758 Data Engineering | OT | 4 |
You can view this information at the end of this document.
The course has no prerequisites. However, its contents extend and complement those previously seen in the subjects of "Signal, image and video processing" and "Neural networks and deep learning", which must be mastered. Likewise, in the course different vision systems will be developed, for which it is necessary to have a good level of programming in Python.
The training objectives of the subject are:
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Assessment Test | 2 | 0.08 | 2, 5, 6 |
Practical work sessions | 9 | 0.36 | 1, 2, 3, 4 |
Problem sessions | 10 | 0.4 | 4, 6 |
Theory Sessions | 17 | 0.68 | 5, 6 |
Type: Supervised | |||
Preparation of practical work | 30 | 1.2 | 1, 2, 3, 4 |
Problem solving outside the classroom | 6 | 0.24 | 4, 6 |
Project preparation and monitoring | 44 | 1.76 | 1, 2, 3, 4 |
Type: Autonomous | |||
Study | 30 | 1.2 | 5, 6 |
Tutoring and consultation | 2 | 0.08 | 6 |
The different activities that will be carried out in the subject are organized as follows:
Theory sessions: The basic concepts of the subject are exposed and indications are given on how to complete and deepen this content.
Problem sessions: Problems are solved and case studies are discussed. With the proposed activities, autonomous and cooperative work is promoted, the capacity for analysis and synthesis, critical reasoning, and the student is trained in problem solving.
Practices: During the course practical work is carried out in groups of 2 people (exceptionally 1 or 3). Challenge-projects are proposed where the group applies techniques worked on in theory and problems sessions.
Project: A team project is developed. In this project, the students will be trained under supervision in a selected data process topic, they will have to make an exhibition, as well as develop a computer system that serves as a demonstrator of the techniques related to the topic studied.
General considerations
The 'Campus virtual' platform will be used to disseminate information to students. The dates of continuous evaluation and delivery of works will be published through this medium, and may be subject to possible programming changes for reasons of adaptation to possible incidents. 'Campus virtual' will be used to inform about these possible changes, since this is the platform for the exchange of information between the teaching staff and the students.
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 |
---|---|---|---|---|
[E1]-Ex: Exam | 30% | 0 | 0 | 2, 5, 6 |
[E2]-Prob: Delivered activities | 10% | 0 | 0 | 4, 6 |
[E3]-Prac: Practical work | 30% | 0 | 0 | 1, 2, 3, 4 |
[E4]-Proj: Project | 30% | 0 | 0 | 1, 2, 3, 4 |
a) Programmed evaluation process and activities
The evaluation of the subject will be carried out continuously from the learning evidences collected in the following processes:
The course consists of the following assessment activities, each assessed with a grade between 0 and 10 (both inclusive):
In order to pass the course through continuous assessment, you will have to get a grade equal to or greater than 5 in the following expressions:
In the case of passing all the conditions to pass, the final mark of the subject will be calculated from the weighted average of the grades, using the expression:
In the case of NOT passing all the conditions to pass, the student's final grade will be the lower value between 4.5 and the weighted average of the grades, using the expression:
Keep in mind that:
In case of irregularities in the evaluation activities, what is detailed in section f) will be applied.
It is important to bear in mind that evaluation activities will not be carried out on a date or time other than that established, except for justified reasons, duly informed in advance to the teaching staff.
b) Programming of evaluation activities
The calendar of the different evaluation activities is detailed in the 'Campus Virtual' platform, in the Moodle classroom of l'assignatura. The dates of completion of the written tests will also be made public on the website of the School of Engineering, in the exams section.
c) Recovery process
The only recoverable assessment activities are
Each of these activities can be recovered by taking an associated written recovery test (exam).
The student can present himself to recover or improve the mark of these activities as long as he has presented himself to a set of activities that represent a minimum of two thirds of the total qualification of the subject.
In order to compute the final grade of the subject, the mark obtained in the recovery exam will replace the corresponding one obtained in the continuous assessment.
In accordance with the coordination of the Degreeand the direction of the School of Engineering, the following activities cannot be recovered:
d) Procedure for the review of qualifications
For assessment activities based on written tests a procedure for booking a revision date ant time will be established in which the student will be able to review the activity with the teaching staff. In this context, claims can be made about the activity grade, which will be evaluated by the teachers responsible for the subject. Likewise, it is possible to arrange with the teaching staff the review of the rest of the assessment activities up to two weeks before the recovery exams.
e) Special qualifications
If the student has not performed the test [E1]-Ex the "Non-assessable" grade will be assigned. It must be remarked that according to current regulations "Non-assessable" qualifications also exhaust convocation.
As many honors registrations will be assigned as the current regulations allow, as long as the grade is higher than 9.0. The assignment of the registrations will be done following the order of grades. In the event of a tie, the results of the partial tests will be taken into account and, if necessary, supplementary activities will be proposed to determine who is awarded the honor roll.
f) Irregularities by the student, copy and plagiarism.
Notwithstanding other disciplinary measures deemed appropriate, assessment activities will receive a zero whenever a student commits academic irregularities that may alter such assessment. Therefore, copying, plagiarizing, cheating, ... in any of the assessment activities will imply suspending it with a zero.
g) Evaluation of repeating students
From the second enrollment, repeating students may request to validate the evaluation of the activities [E3]-Prac, taking the grade obtained in a previous course as long as the grade is equal to or greater than 5. In order to be able to opt for this differentiated evaluation, repeating students must ask the faculty through an email.
h) Single evaluation
This subject does not provide for the single assessment system.
To develop different computer vision systems, both in practice and in problems sessions, the Python programming language will be used, working with Jupyter Notebooks. Work will be done in the classroom with the laptop brought by the student himself, or by sharing a laptop with a classmate.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PAUL) Classroom practices | 811 | Catalan | second semester | morning-mixed |