Description

Qualification

Lecture

Exam with developmental questions/problems/tests

30-70%

Practicals using information and communication technologies (ICTs) in computer rooms

Development/configuration of software components

30-70%

Other comments and second call

1. BEHAVIOR IN CLASS:

In the development of the subject, behaviors that in the opinion of the teachers are undesirable should be avoided, being able to be expelled from the activity otherwise. Without being exhaustive, this includes violent, sexist, homophobic, xenophobic, unhygienic behavior, improper use of electronic devices and talks not related to the subject.

2. BEHAVIOR DURING THE EXAM:

During the evaluation tests it is strictly forbidden the possession and use of materials other than those explicitly approved for the development of the same. In general, the only material allowed will be pens, pencils and erasers. In particular, the possession and use of notes, books, folders and electronic devices is prohibited. Failure to comply with these rules will result in immediate withdrawal from the exam, expulsion from the exam and a failing grade. Likewise, the guidelines for action in cases of plagiarism, copying or fraud in exams or evaluation tests of the University of León will apply. If during the correction of the exams or papers, in the opinion of the professor, plagiarism, copying or fraud has occurred, the above guidelines will also apply.

3. EVALUATION:

General aspects:

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Spelling mistakes in the practical activities and evaluation tests will be negatively evaluated.

If the teachers consider that one or more of the tests taken as a whole have been carried out in an outstanding manner, they may increase the final grade by the points they consider reasonable.

If the teachers consider that one or more of the tests taken as a whole have been performed very poorly, or not presented, the final grade may be reduced by such points as they deem reasonable.

If any of the errors made on any of the tests constitute a serious misconception a final grade of failing 0.0 may be awarded.

Minimums:

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Passing the course will require passing each of the parts with a minimum grade. Unless expressly indicated during the development of the course, this minimum grade will be:

Minimum for theory 3.0.

Minimum for the practicals 3.0

Students who cannot come to the theory evaluation tests on the day of their realization have the option to take a substitute exam in the evaluation period of the first call. In order to do so, they must request it presenting evidence of a justified reason and will be able to take it once the teachers have agreed so.

5. OTHER CONSIDERATIONS.

Practices from previous years will not be retained.

The main means of communication with teachers will be by means of a synchronous oral conversation.

Topic	Sub-topic
I. Introduction to Deep Learning	1. Introduction to Deep Learning
II. Neural Networks	2. Neural Networks
III. Deep Learning for Image Processing 3	3. Deep Learning for Image Processing
IV. Machine and deep learning for natural language processing	4. Machine and deep learning for natural language processing.
V. Other deep learning models	5. Other deep learning models

Methodologies :: Tests
	Class hours	Hours outside the classroom	Total hours
Practicals using information and communication technologies (ICTs) in computer rooms	25	67.5	92.5


Lecture	15	0	15

Mixed tests	5	0	5

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

	Description
Practicals using information and communication technologies (ICTs) in computer rooms	ICT practices in computer classrooms Apply, at a practical level, the theory of a field of knowledge in a given context.
Lecture	Presentation of theoretical, practical and methodological concepts by the professor in the classroom and in the laboratory. The expositions may be accompanied by audio-visual material: projected transparencies, videos, on-line resources.

Basic

Complementary