• AI SYSTEMS ENGINEERING UNIVERSITY DEGREE SYLLABUS

University Degree in Artificial Intelligence Systems Engineering

Syllabus

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Syllabus

First year
Second Year
Third Year
Fourth Year
Syllabus structure
Learning outcomes

First year

SUBJECT TYPOLOGY TERM ECTS
ALGEBRA BT SEM 1 6
CALCULUS BT SEM 1 6
PROGRAMMING BT SEM 1 6
STATISTICS 1 BT SEM 1 6
LOGIC AND CRITICAL THINKING OB SEM 1 3
KNOWLEDGE MANAGEMENT AND PEOPLE SKILLS OB ANNUAL 6
DISCRETE MATHEMATICS BT SEM 2 6
ADVANCED ALGEBRA AND CALCULUS BT SEM 2 6
DATA STRUCTURE BT SEM 2 6
LOGIC FOR ARTIFICIAL INTELLIGENCE OB SEM 2 6
FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE OB SEM 2 3

Second Year

SUBJECT TYPOLOGY TERM ECTS
STATISTICS 2 BT SEM 3 6
ALGORITHMICS BT SEM 3 6
DATABASES OB SEM 3 6
COGNITIVE NEUROSCIENCE AND ARTIFICIAL INTELLIGENCE OB SEM 3 3
KNOWLEDGE-BASED SYSTEMS OB SEM 4 3
MACHINE LEARNING 1 OB SEM 3 6
ANTHROPOLOGY AND SOCIAL RESPONSIBILITY OB ANNUAL 6
COMPUTATIONAL COMPLEXITY BT SEM 4 6
HW ARCHITECTURE FOR ARTIFICIAL INTELLIGENCE OB SEM 4 6
ARTIFICIAL INTELLIGENCE 1 INTEGRATIVE PROJECT OB SEM 4 3
NEURAL NETWORKS OB SEM 4 6
ENTERPRISE AND DIGITAL TRANSFORMATION OB SEM 4 3

Third Year

SUBJECT TYPOLOGY TERM ECTS
ADVANCED DATABASES * OB SEM 5 6
NETWORKS, INFRASTRUCTURE AND CLOUD SERVICES * OB SEM 5 6
MACHINE LEARNING 2 * OB SEM 5 6
SEARCH ALGORITHMS OB SEM 5 6
DEEP LEARNING * OB SEM 5 6
ANALYSIS, TAGGING AND DATA PREPROCESSING * OB SEM 6 6
CYBERSECURITY OB SEM 6 3
ARTIFICIAL INTELLIGENCE INTEGRATIVE PROJECT 2 * OB SEM 6 3
SIGNALS AND TEMPORAL DATA OB SEM 6 6
ARTIFICIAL INTELLIGENCE ENGINEERING AND PROJECT MANAGEMENT OB SEM 6 6
ETHICS, GOVERNANCE AND POLICY OF ARTIFICIAL INTELLIGENCE OB SEM 6 6
* Subject taught in English

Fourth Year

SUBJECT TYPOLOGY TERM ECTS
ARTIFICIAL INTELLIGENCE AS A SERVICE * OB SEM 7 6
NATURAL LANGUAGE PROCESSING * OB SEM 7 6
IMAGE PROCESSING AND COMPUTER VISION * OB SEM 7 6
HORIZONS OF SCIENCE AND TECHNOLOGY OB SEM 7 3
ENTREPRENEURSHIP AND INNOVATION OF ARTIFICIAL INTELLIGENCE COMPANIES * OB SEM 7 3
IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE SYSTEMS * OB SEM 8 6
EXTERNAL ACADEMIC INTERNSHIP I. EXT SEM 8 6
END OF DEGREE PROJECT EDP SEM 8 12
OPTIONAL 1 OP SEM 7 6
OPTATIONAL 2 OP SEM 8 6
* Subject taught in English
OPTIONAL SUBJECTS (THE STUDENT HAS TO TAKE 6 ECTS IN THE 7TH SEM AND 6 ECTS IN THE 8TH SEM)
SUBJECT TYPOLOGY TERM ETCS
DATA AND INFORMATION VISUALIZATION OP SEM 7 6
APPLICATION OF ARTIFICIAL INTELLIGENCE TO BIOTECHNOLOGY AND DIGITAL HEALTH OP SEM 7 6
ADVANCED NATURAL LANGUAGE PROCESSING OP SEM 7 6
QUANTUM COMPUTING AND ARTIFICIAL INTELLIGENCE OP SEM 8 6
ARCHITECTURES OF MASSIVE DATA SYSTEMS OP SEM 8 6
APPLICATION OF ARTIFICIAL INTELLIGENCE TO THE FINANCIAL SECTOR OP SEM 7 6
AUDIO PROCESSING OP SEM 8 3
HISTORY OF SCIENCE AND TECHNOLOGY OP SEM 8 3
COMPLEMENTARY TRAINING ACTIVITIES 1 OP SEM 8 3
COMPLEMENTARY TRAINING ACTIVITIES 2 OP SEM 8 3
From the list of optional subjects that make up the syllabus, students will be able to choose among the subjects offered by the University each academic year, which will be published in the Syllabus book for enrolment. Likewise, the University, once the enrolment period is over, reserves the right to open these optional subjects depending on the number of students enrolled

Syllabus structure

Structure of the syllabus Download

Learning Outcomes

Learning outcomes Download

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