Master's Degree in Industrial Computing and Robotics

Curriculum structure

Planning the teaching involves the structuring of content, systems and methodologies that make it possible to acquire the knowledge, capacities, abilities and basic skills necessary for students to be able to develop their activity in any of the lines specified in the professional profile defined for the degree. 

The curriculum structured into modules/subjects and courses is prepared on the basis of the regulatory framework for the regulation and verification of official university education –RD 1393/2007- and the guidelines developed by the University of La Laguna.

In the first four-month period, in addition to the compulsory subjects, students must take an optional subject from among those offered in that four-month period. For a graduate profile in industrial engineering, the recommendation is to take at least one of the following subjects: “Computer Communications Networks”, “Information Systems in Industrial Environments”. For a graduate profile in Computer Engineering, the recommendation is to take at least one of the following subjects: “Industrial Automation”, “Control Technology”.

In the second semester, students will take a set of elective subjects from among those offered in the second semester for the chosen specialisation, in order to complete the 21 elective credits required to obtain the degree. It is not possible to take elective subjects chosen from different specialisations. In addition, they will take the subjects “Internships in companies” and “Master's Final Project” at the university that offers the chosen specialisation.

Structure

Code Subject Typology Credits Course Four-month period
COMMON SUBJECTS
835971101 Industrial Drives Mandatory 4,5 1st 1st
835971102 Advanced Automation Mandatory 4,5 1st 1st
835971103 Embedded Systems Mandatory 4,5 1st 1st
835971104 High Level Languages for Industrial Applications Mandatory 4,5 1st 1st
835971105 Intelligent Robotics and Autonomous Systems Mandatory 4,5 1st 1st
835971106 Virtual Instrument Programming Mandatory 4,5 1st 1st
835970901 Industrial Automation Elective 3 1st 1st
835970902 Control Technology Elective 3 1st 1st
835970903 Computer Communications Networks Elective 3 1st 1st
835970904 Information Systems in Industrial Environments Elective 3 1st 1st
835971201 Internships in companies Mandatory 3 1st 2nd
835971202 Master's Thesis Mandatory 9 1st 2nd
INTENSIFIED SUBJECTS: CONNECTED INDUSTRY (ULL)
835970905 Industrial Communications and Real-Time Systems Elective 3 1st 2nd
835970906 Cyber-physical systems Elective 3 1st 2nd
835970907 Industrial IoT Elective 3 1st 2nd
835970908 Big-Data & Analytics Elective 3 1st 2nd
835970909 Augmented Reality, Computer Vision Elective 3 1st 2nd
835970910 Additive Manufacturing Elective 3 1st 2nd
835970911 Smartcities – Smartregions Elective 3 1st 2nd
835970912 Simulation for Industry 4.0 Elective 3 1st 2nd
835970913 Computational Intelligence Elective 3 1st 2nd
835970914 Cloud Computing Elective 3 1st 2nd
835970915 Signal Processing with Machine Learning Elective 3 1st 2nd
835970916 Metaheuristics Elective 3 1st 2nd
INTENSIFIED SUBJECTS: ROBOTICS (UDC)
835970917 Python for Engineers Introductory Elective 3 1st 2nd
835970918 Python for Advanced Engineers Elective 3 1st 2nd
835970919 Robotics Application Development: Introduction to ROS Elective 3 1st 2nd
835970920 Robotics Application Development: Advanced ROS Elective 3 1st 2nd
835970921 Autonomous Robotics Applications Elective 3 1st 2nd
835970922 Machine Learning I Elective 3 1st 2nd
835970923 Machine Learning II Elective 3 1st 2nd
835970924 Machine Vision I Elective 3 1st 2nd
835970925 Machine Vision II Elective 3 1st 2nd
835970926 Mobile Robotics Elective 3 1st 2nd
835970927 Emerging Manufacturing Technologies Elective 3 1st 2nd
835970928 Emerging Manufacturing Technologies Workshop Elective 3 1st 2nd
835970929 Mechanics of Robotic Systems Elective 3 1st 2nd
835970930 Simulation and Analysis of Robotic Systems Elective 3 1st 2nd