Tribunal titular

Cargo

Departamento

Profesor

Presidente

ING.ELECTR.DE SIST. Y AUTOMATI

RODRIGUEZ SEDANO , FRANCISCO JESUS

Secretario

ING.ELECTR.DE SIST. Y AUTOMATI

GARCIA RODRIGUEZ , ISAIAS

Vocal

ING.ELECTR.DE SIST. Y AUTOMATI

PRADA MEDRANO , MIGUEL ANGEL

Tribunal suplente

Cargo

Departamento

Profesor

Presidente

ING.ELECTR.DE SIST. Y AUTOMATI

ALAIZ RODRIGUEZ , ROCIO

Secretario

ING.ELECTR.DE SIST. Y AUTOMATI

BLAZQUEZ QUINTANA , LUIS FELIPE

Vocal

ING.ELECTR.DE SIST. Y AUTOMATI

PEREZ LOPEZ , DANIEL

Description

Qualification

Laboratory practicals

Delivery of practices where the concepts acquired in the Problem Based Learning (PBL)/Problem Based Learning (PBL) part will be applied. Their defense will be carried out in the form of a practical computer test with a value of 40% plus a practical defense of a genetic algorithm mini project with a value of 10%.

50%

Lecture

Evaluation of the contents acquired in the theory master sessions based on mixed learning environment tests 35% and interactive questionnaires 5%.

40%

Presentations / expositions

Defense of the work on the proposed topic in groups where students will have to demonstrate knowledge of the domain in which the theoretical/practical work is developed.

10%

Others

Attendance, use and active participation will be positively valued.

To qualify for continuous evaluation, you must obtain a minimum of 30% in each of the previous sections.

Other comments and second call

In the extraordinary call, a test will be carried out that evaluates the theoretical and practical skills acquired by the student.

EVALUATION TESTS

During the evaluation tests, it will not be possible to use any material or device that has not been expressly authorized by the teacher.

If any irregularity occurs during the corresponding exam or evaluation test, the exam will be immediately withdrawn, the student will be expelled and graded as a fail. In any case, the provisions of the internal regulations of the ULE included in the document "Guidelines for action in cases of plagiarism, copying or fraud in exams or evaluation tests" will be followed (Approved Permanent Commission of the Government Council 01/29 /2015).

Code
A18676
B5653
B5655
B5665
C2	CMECES2 That students know how to apply their knowledge to their work or vocation in a professional manner and possess the skills that are usually demonstrated through the development and defense of arguments and the resolution of problems within their area of study.
C3	CMECES3 That students have the ability to gather and interpret relevant data (normally within their area of study) to make judgments that include reflection on relevant issues of a social, scientific or ethical nature.
C5	CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy

	Competences
Understanding artificial intelligence techniques and their application in different fields of engineering	A18676	B5653	C3
Knowing how to apply AI and nanotechnology concepts in engineering when solving problems.	A18676	B5655 B5665	C5
Having the ability to learn autonomously when solving problems		B5653 B5655	C2 C3 C5
Develop the learning skills necessary to undertake further studies.		B5653 B5655	C5

Topic	Sub-topic
BLOCK I: INTRODUCTION	Topic 1: HISTORY AND BASIC CONCEPTS. Historical introduction to artificial intelligence. Applications. Sensors. Biological model. Learning.
BLOCK II: AI APPLIED TO INDUSTRIAL ENGINEERING	Topic 1: FUZZY LOGIC. History, concepts, and implementation. Topic 2: GENETIC ALGORITHMS. History, concepts, and implementation. Topic 3: EXPERT AND KNOWLEDGE-BASED SYSTEMS. History, concepts, architecture, knowledge representation, and implementation. Topic 4: MACHINE LEARNING. History, concepts, algorithms and techniques, deep learning, and implementation
BLOCK III: NANOTENCHNOLOGY	Topic 1: INTRODUCTION. History, general concepts. Applications in the industrial field. Topic 2: INTRODUCTION TO QUANTIC DEVICES. Basic concepts of quantum physics and simulation of devices based on quantum wells.

Methodologies :: Tests
	Class hours	Hours outside the classroom	Total hours
Laboratory practicals	30	39	69

Personal tuition	2	0	2
Presentations / expositions	5	5	10
PBL (Problem Based Learning)	20	12	32

Lecture	14	21	35

Mixed tests	2	0	2

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

	Description
Laboratory practicals	Practical realization of the contents covered in the master sessions.
Personal tuition	Time that each teacher has reserved to answer and resolve students' doubts.
Presentations / expositions	Oral presentation by students of a specific topic or a work.
PBL (Problem Based Learning)	Strategy consisting of problem solving and reflection on their experiences that students must carry out, normally working collaboratively.
Lecture	Presentation of the contents of the subject

Basic	Alex Zetti, AN ATOMIC-RESOLUTION NANOMECHANICAL MASS SENSOR, , Nature Nanotechnolog Javier García de Jalón , Aprenda Matlab 6.5 como si estuviera en primero , Universidad Politécnica de Madrid , Universidad Politécnica de Madrid Russell S. &amp;amp; Norving P , Inteligencia Artificial. Un enfoque moderno , Prentice Hall, Prentice Hall Alex Zetti y col. en Nano Letters, NANOTUBE RADIO, , ISASI VIÑUELA, PEDRO y GALVAN, INES M., REDES DE NEURONAS ARTIFICIALES: UN ENFOQUE PRACTICO, McGraw-Hill , McGraw-Hill Andreas Hirsch, The era of carbon allotrope, , Nature Materials, J.J. Palacios y J. Fenández- Rossier, ¿Grafeno magnético?, , http.//www.rsef.org

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Other comments
Basic knowledge in MATLAB and other programming languages.