Evaluation activities and instruments:

a) Process and scheduled evaluation activities

The course consists of assessment activities:

- MD1: Theoretical exams, where for each exam the student will have to answer 5 questions individually and in writing (to develop in a maximum level) about concepts of computer learning seen in theory classes. It represents 20% of the final grade, it is compulsory, individual and recoverable (there will be two partials and their respective recoveries). In the event that it is not possible to take face-to-face exams, by indication of the UAB Governing Team, the exam will be replaced by a work of a maximum of 15 pages explaining the open source repository that has been chosen to do the seminar.

- MD2: Report delivery with solved problems, where each student will individually deliver a written report of up to 4 solved problems seen in problem classes (regression, backpropagation, memorization, and clustering). It represents 10% of the final grade, it is optional, individual and recoverable (it can be delivered on the day of the second part of the course).

- MD3: Resolution of practices with delivery of report explaining the resolution and results of each practice, where each group made up of two people will deliver the python code (10% of the final grade) for each of the two projects (regression and classification ) applied to 2 different databases, as well as a report of up to 20 pages (30% on the final grade) where they will describe each database, the strategy they have used to analyze their data, as well as provide them with different parameter values they have tried and the results they have obtained with the best posssible configuration. A presentation of each project will be made online. Represents 40% (code + report) on the final grade, is mandatory, group and is not recoverable.

- MD4: Preparation of a jupyter notebook with the description in python code of a specific case of computational learning (either regression, classification, clustering or memorization, for example chosen here: https://www.kaggle.com/search?q = machine + learning), and the notebook will code the data, the models used (with the parameters that work best for the data), and the results of the chosen problem. Examples of jupyter notebooks applied to specific cases can be found here https://datauab.github.io/. Represents 20% of the final grade, is optional, individual and is recoverable (can be delivered the day of the second theory part).

- MD5: Oral defense (online) in a group of 2-3 people (can be the same group of practices or different) for 10 minutes of a free code repository made by a group of researchers or engineers where they apply some computational learning algorithm (for example chosen here: https://medium.mybridge.co/amazing-machine-learning-open-source-tools-projects-of-the-year-v-2019-95d772e4e985). Represents 10% of the final grade, is optional, group and is not recoverable.

The following describes how to pass the course with continuous evaluation:

- MD1: Individual theory exams

The final theory grade will be calculated from two partial exams:

Theory Note = (0.6 * Partial1) + (0.4 * Partial2)

Partial1 is done in the middle of the semester and serves to eliminate part of the subject if it is approved. Partial2 is done at the end of the school semester and serves to eliminate the part of the agenda that comes after Partial1.

These exams aim at an individualized evaluation of the student with their abilities to answer 5 long questions (develop to occupy a maximum page length) about the techniques explained in class, as well as to evaluate the level of conceptualization that the student has not made of the techniques. views.

In the event that it is not possible to take on-site exams, by indication of the UAB Government Team, the exam will bereplaced by a work of a maximum of 15 pages explaining the open source repository that has been chosen to do the MD5 seminar .

To pass the theory part of the subject by taking face-to-face exams, two requirements must be met:

• it will be necessary that the marks of the partials 1 and 2 are equal to or greater than 4.0 (in both partials). In case menysd'un 4.0 is removed in one of the two Partials, the corresponding partial must be done again during the recovery exam.
• the final theory grade must be greater than or equal to 4.0. In case the final theory grade is not equal to or greater than 4.0, students can take the recovery exam to be evaluated of all the contents seen in the subject.

Recovery exam (end of January or beginning of February). In this exam, you can recover the partial (s) that have not exceeded 4.0, or recover the syllabus in the event that the final theory grade does not exceed 4.0.

- MD2: Individual delivery of a report with resolved problems

The problems are intended to cause the student to enter the subject content continuously and, from small problems, to become directly familiar with the application of the theory. As evidence of this work, the obligatory presentation of a portfolio in which she will have kept the problems that she will have been carrying out is required (competence T06).

Note Problems = Portfolio evaluation with 4 solved problems (according to the calendar indicated to Caronte).

A minimum of 2 problems must be submitted to pass this part. There will be recovery from problems (delivering the problems not delivered during the course the day of the second theory part).

- MD3: Resolution of group practices

The evaluation of each of the 2 internship projects will include:

- Joint evaluation of each project (competence T03): single note for allmembers of the working group that will assess the overall result of the project, the quality of the code, the general structure of the final presentation and the documents delivered throughout the project. .

- Individual evaluation (competence T01): the individual work will be valued based on the answers to the questions in the online control sessions, the final presentation of the online project and mainly the active participation in the Caronte forums. In the cases required by any group (in cases of incidents between colleagues), a brief confidential form will be evaluated, qualifying the contribution of each group partner to the final result.

The grade of the project will be calculated according to the formula:

Practical Note = (0.5 * Project Note 1 Regression) + (0.5 * Project Note 2 Classification)

Note 1 and 2 Projects = (0.9 * Group Note) + (0.1 * Individual Note)

Group Note = (0.3 * Program) + (0.1 * Presentation) + (0.6 * Documentation)

There is no recovery of the practices: in case of not presenting a delivery or considering it copied, if the Final Project Grade does not exceed 5.0, it is considered the suspended subject.

In very justified cases (eg for work, family or health issues, ...), instead of carrying out these 2 projects, the student will be able to carry out the so-called Cousera itinerary: with the prior approval of the teacher, the student who If you request it and justify it, you will be able to deliver the practices requested in the online computer learning course of the Coursera educational platform (https://es.coursera.org/learn/machine-learning). In this case, the maximum mark of practices that the student will be able to reach is 7 instead of 10 (since there is no report or presentation, only code is given in this itinerary).

- MD4: Making a jupyter notebook in python describing a specific case of computational learning

The evaluation will be based on the python code and theexplanation of the code that will be found in the jupyter notebook that will be delivered nolater than the day of the second part of the course. The note of the notebook will be calculated according to the formula:

Note Notebook = (0.1 * Introduction to the database) + (0.3 * Analysis of the attributes, correlations, ...) + (0.3 * Description of the method used, how to find the best parameters, method comparison ...) + (0.3 * Described the results, confusion matrices, graphs of the models and the data, examples of false positives / negatives, ROC curves, ...)

Examples of jupyter notebooks applied to specific cases can be found here https://datauab.github.io/.

- MD5: Oral defense in group of a scientific work

The oral defense or online seminar aims to provoke the group to see and understand how another group of engineers or scientists have tackled a computational learning problem, since there is a shared source code on the GitHub platform. For 10 minutes, the group will explain the algorithm that has been used, the strategy on how the data analysis has been approached, and the results. As evidence of this work, the non-mandatory presentation of the chosen project is requested (competence T06).

Seminar Note = Online presentation of a chosen project (from the web https://medium.mybridge.co/amazing-machine-learning-open-source-tools-projects-of-the-year-v-2019-95d772e4e985).

There is no recovery of oral defense, nor is there a minimum grade in this activity to pass the course.

- Evaluation of transversal competences

Partial exams will allow you to evaluate your acquisition of thinking habits and personal work (T01 Thinking habits, Note Theory). With a Practice Project Note, teamwork will also be evaluated (T03 Teamwork, Group Note) and the individual presentation (T01 Thinking Habits, Individual Note). With the completion of the problems and the holding of a seminar on a scientific project, the acquisition of habits willbe evaluated to solve a predetermined task and data values totally different from those seenin class (T06 Personal attitude, Note Problems and Seminar).

The final grade for the course is obtained by combining the evaluation of these 4 activities as follows:

Final Note = (0.2 * Theory) + (0.4 * Project) + (0.1 * Problems) + (0.2 * Notebook) + (0.1 * Seminar)

Conditions to approve:

To pass, it is necessary that the evaluation of each of the two compulsory activities (MD1 and MD3) exceeds the minimum required and that the total evaluation exceeds 5 points. In case of not passing the subject, the numerical note of the file will be the lower value between 4.5 and the weighted average of the notes:

• The final grade of theory MD1 must be greater than or equal to 4.0 to pass the theory part.
• The grade of the MD3 project must be greater than or equal to 5.0 in order to pass the practical part.
• The final grade for the course must be greater than or equal to 5.0 to pass the course.

In the case of not reaching the minimum required in any of the compulsory assessment activities (MD1 and MD3), if the calculation of the final grade for the course is equal to or greater than 5, a final grade of 4.5 will be placed. the subject to the file.

In case of not passing the subject because some of the compulsory evaluation activities do not reach the minimum final grade required (5.0), the numerical grade of the record will be the lower value between 4.5 and the weighted average of the grades.

If the student attends an exam or if he / she submits a practice, he / she can no longer be evaluated as "Not Evaluable" in case he / she does not take any of the other evaluations, but the final grade will be calculated from those continuous evaluations to which it has been submitted.

b) Scheduling of evaluation activities

The dates of continuous evaluation and delivery of paperswill be published in Caronte (http://caronte.uab.cat/), in the space of this subject and maybesubject to programming changes for reasons of adaptation to possible incidències; caronte.uab.cat will always be informed of these changes as this platform will become the usual mechanism for the exchange of information between teacher and students.

The following schedule is foreseen (week 1 correspons to the week of September 14th, 2020):

• Individual theoretical exams: weeks 9 and 18-19 of the subject. In the event that it is not possible to take face-to-face exams, by indication of the UAB Government Team, the exam will be replaced by a work of a maximum of 15 pages explaining the open source repository that has been chosen to do the seminar, and that will be delivered during week 15 of the subject.
• Individual delivery of a report with the problems solved: delivery weeks 4, 8, 11 and 15 of the subject.
• Resolution in group of practices: control weeks 5 and 11, evaluation weeks 7 and 13 of the subject.
• Python notebook development: control week 11, evaluation weeks 14-15 of the subject.
• Group seminar of a scientific repository: evaluation week 15 of the subject.

c) Recovery process

The student can take the recovery as long as they have been submitted to a set of activities that represent a minimum of two thirds (6 evaluation activities out of 10 total: 2 partial exams; 2 practice evaluations; 4 problem deliveries; 1 delivery of a notebook in python; and 1 seminar) of the total qualification of the subject.

Of these, students who have on average of all the activities of the subject a grade higher than 3.0 may be presented in the recovery.

Keep in mind that the Practice Resolution (MD3) and the Group Oral Defense of a repository (MD5) are not recoverable.

d) Grade review procedure

For each individual theory exam, a place, date and time of review will be indicatedinwhich the student can review the activity with the teacher. In this context, claims may bemade about the grade for the activity, which will be evaluated by the teachers responsible for the subject. If the student does not appear in this review, this activity will not be reviewed later.

e) Ratings

Enrollment of Honor: Enrollment of Honor will be granted at the decision of the teaching staff responsible for the subject, up to five percent or fraction of the students enrolled in all teaching groups of the subject. UAB regulations indicate that MH can only be awarded to students who have obtained a final grade equal to or greater than 9.00.

Not evaluable: A student will be considered non-evaluable (NA) if he has not taken any of the partial exams and in none of the 2 evaluations of the practices.

f) Student perpart irregularities, copying and plagiarism

Without prejudice to other disciplinary measures deemed appropriate, they will be graded with a zero lesirregularitats committed by the student that may lead to a change in the grade of an act of assessment. Therefore, copying, plagiarism, cheating, copying, etc. in any of the evaluation activities it will involve suspending with a zero. The evaluation activities classified in this way and by this procedure will not be recoverable. If it is necessary to pass any of these evaluation activities to pass the subject, this subject will be suspended directly, with no opportunity to recover it in the same course. These irregularities include, among others:

• the total or partial copy of a practice, report, or any other evaluation activity;
• let copy;
• present a group work not done entirely by group members (applied to all members, not just those who have not worked);
• present their own material and work by a third party, whether they are translations or adaptations, and in general works with non-original and exclusive elementsof the student;
• have communication devices (such as mobile phones, smart watches,pens with a camera, etc.) accessible during the course of individual theory-practical assessment(exams);
• talk to colleagues during individual theory-practical assessment tests (exams);
• copy or try to copy from other students during the theoretical-practical assessment tests (exams);
• use or try to use writing related to the subject during the theoretical-practical evaluation tests (exams), when these have not been explicitly allowed.

The numerical grade of the record will be the lesser value between 3.0 and the weighted average of the grades in the event that the student has committed irregularities in an act of evaluation (and therefore it will not be possible to pass the compensation). In future editions of this subject, the student who has committed irregularities in an act of evaluation will not be validated any of the evaluation activities carried out.

In summary: copying, copying or plagiarizing (or trying to) in any of the assessment activities is equivalent to a SUSPENSE, not compensable or recoverable and without validation of parts of the subject in subsequent courses.

g) Evaluation of repeating students

From the second enrollment, the evaluation of the subject will consist of the individual theoretical exam, plus the mark corresponding to the practices obtained the first time the student has enrolled in the course, provided that the marks of practice are higher or equal to 5.0.

In order to be eligible for this differentiated assessment, the repeating student must ask the teacher at the latest until week 4.