Degree | Type | Year |
---|---|---|
2503740 Computational Mathematics and Data Analytics | OB | 3 |
You can view this information at the end of this document.
It’s highly recommended to have coursed the subject Relational DataBases.
This subject introduces the basic concepts of non-relational databases and distributed databases. The main objective is to provide the student with the necessary tools to design and use these data storage systems.
KNOWLEDGE: At the end of the course the student must be able to:
SKILLS: Students are expected to acquire the following skills:
Develop the above skills with non-relational DBMS (DataBase Management Systems), such as MongoDB and Neo4J.
1.Object-oriented and non-relational DataBases
2.Documemtary DataBases: MongoDB
3.Columnar (column oriented)
4.Graph DataBases: Neo4J
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
in-person class | 25 | 1 | |
Type: Supervised | |||
Problems and project class | 24 | 0.96 | |
Type: Autonomous | |||
Developing the project | 40 | 1.6 | |
Pre-work | 26 | 1.04 | |
Study for the exams | 20 | 0.8 |
In this subject we will follow the flipped classroom methodology. In this methodology, the study of the theoretical contents must be carried out as autonomous activities before the in-person sessions, based on material and documentation that will be accessible through the virtual campus of this subject. The classes become practical sessions for solving exercises and the realization of the project, aimed at resolving all doubts and problems that will have encountered throughout the week.
There will be two types of activities: theory and project activities. Theory activities will be aimed at consolidating the most theoretical aspects of the subject. A part of them will be individual while others will be carried out in working groups. The project will be an essentially practical group activity that will be carried out throughout the course and that will serve to help consolidate the theoretical aspects that have been worked on in class.
The working groups will be groups of 4 students, will be formed on the first day of class and will remain stable throughout the course. They will be the same for the group theory activities and the project.
Without counting the hours that must be spent for preparing for the partial exams, the average load is 9 hours per week and student, distributed in 4 hours for in-person classes, plus the following activities:
Transversal competences: In this subject, students will work on competences T01, T02 and T04. These skills will be worked throughout the entire course in all activities during the course, but with more intensity in solving problems and developing the project.
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 |
---|---|---|---|---|
1st Partial Exam (Par 1) | 0.25 | 2 | 0.08 | CM17, KM15 |
2nd Partial Exam (Par 2) | 0.25 | 2 | 0.08 | CM17, KM15 |
Delivery of the problems (NPrb) | 0.05 | 2 | 0.08 | CM17, CM18, KM15, SM16, SM17 |
Delivery of the project | 0.5 | 9 | 0.36 | CM17, CM18, KM15, SM16, SM17 |
The evaluation will be continuous, so there is no unique evaluation modality. There will be two individual written theoretical-practical exams, with the weight indicated below for each of them. The first test (Par1) will be done approximately halfway through the semester and will evaluate the theoretical and practical concepts in documentary databases such as MongoDB. The second test (par2) will take place at the end of the semester and evaluate the theoretical concepts not evaluated in Par1.
Recovery exam: In case the Theory Note does not reach the pass (5), students may do a recovery exam on the failed part.
Most weeks there will be the possibility to deliver activities worked during the week. The delivery is optional, individual and can be made up to the hours set in advance on the Virtual Campus. With the 80% of the deliveries, the student can achieve the highest score (1 point) of this activity (NPrb).
The grade of the project will be obtained from the weighted average of the grades obtained in each delivery. Each note will be the arithmetic mean of the group note and the individual note. Each one of the deliveries must be passed separately. In case of failing any delivery, there will be the option to recover the failed part. The grade of the recovery will be a maximum of 5.
GRADE INDICATORS:
The final mark is calculated as follows:
EVALUATION CRITERIA
EVALUATION SCHEDULE:
The dates of deliveries at the virtual campus may be subject to program changes for reasons of adaptation to possible incidents. These changes will always be reported at thevirtual campus, as it is the usual mechanism for the exchange of information between teachers and students.
For each assessment activity, a place, date and time of review will be indicated in which the student can review the activity with the teacher. In this context, claims may be made about the grade of the activity, which will be evaluated by the teachers responsible for the subject. If the student does not come to this review, the activity will not be reviewed later.
Without prejudice to others that are deemed appropriate and in accordance with current legislation academic discipline, irregularities committed by a student that can lead to a variation of the rating will be rated with a zero mark (0). Assessment activities classified in this way and by this procedure will not be recoverable. If it is necessary to pass any of these assessment activities to pass the course, this course will be suspended directly, with no opportunity to recover it in the same course. These irregularities include, among others:
In case the student has committed irregularities in any evaluation part (and therefore it will not be possible to pass via compensation), the numerical grade of the subject will be the lower value between 3.5 and the weighted average of the grades. In summary: copying, let others copy your work or plagiarizing in any of the evaluation activities is equivalent to a failurewith a grade lower than 3.5.
MATERIALS OF THE SUBJECT: Virtual campus of the UAB, subject Non-relational DataBases.
BASIC BIBLIOGRAPHY:
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PLAB) Practical laboratories | 1 | Catalan | second semester | morning-mixed |
(TE) Theory | 1 | Catalan | second semester | morning-mixed |