Factory Automation and Industrial Informatics, 30 cr

Type of the study module

Advanced Studies

Contact

Robert Piche, Jose Martinez Lastra

Learning Outcomes

- S/he has acquired knowledge in the field of industrial informatics in order to develop and manage large software-intensive automation systems.
- S/he is able to identify and apply standards and technologies to vertically and horizontally integrate industrial system components considering mechanical, electrical and information interfaces.
- The graduate has developed skills for selecting and applying knowledge languages and associated standards to model systems and in order to achieve automated reasoning at runtime.
- The graduate is able to identify, model, program, control, optimize, validate, verify, orchestrate, choreograph and architect factory automation systems. Furthermore, s/he has acquired skills for integrating factory automation systems with building and energy automation systems in order to provide a holistic solution.
- The graduated with major in Factory Automation and Industrial Informatics is capable to apply "system thinking" to: design, develop and integrate factory automation and information systems.

Prerequisites

Study block Credit points Mandatory/Advisable
Automation Engineering 30 cr Advisable

Content

Compulsory courses

Course Credit points Class
ASE-9316 Introduction to Industrial Informatics 5 cr IV  
ASE-9407 Robot Manipulators: Modeling, Control and Programming 5 cr IV  
ASE-9427 Distributed and Intelligent Automation Systems 5 cr IV  
ASE-9457 Industrial Communication Systems 5 cr IV  
Total 20 cr  

Complementary Courses

Choose at least 10 cr of courses from one group (1-4). EXTENDED MAJOR: ASE-4046 and TIE-02207 are compulsory. Choose one of groups of courses and fill the module up to 60 cr by choosing the courses from other group.

Should be completed to the minimum study module extent of 30 ETCS

Course Credit points Additional information Class
ASE-4046 Optimisation and Data Analysis 5 cr 1 IV  
BMT-2316 Introduction to Microsystem Technology 5 cr 4  
BMT-3036 Microsensors 5 cr 4  
BMT-47606 Radio Frequency Identification Technology 5 cr 4  
SGN-13006 Introduction to Pattern Recognition and Machine Learning 5 cr 2  
SGN-41007 Pattern Recognition and Machine Learning 5 cr 2  
SGN-44006 Artificial Intelligence 5 cr 2  
TIE-02207 Programming 2: Basics 5 cr 1 IV  
TIE-05216 Introduction to Embedded Systems 5 cr 4  
TIE-20106 Data Structures and Algorithms 5 cr 1 IV  
TIE-21107 Software Engineering Methodologies 5 cr 1 IV  
TIE-50307 Real-time systems 5 cr 4  
TIE-52107 Internet of Things 5 cr 3  
TLO-35246 Software Business 4 cr 3  
TLO-35256 Data and Information Management 4 cr 3  

1. Software and Data-intensive Factory Automation Systems
2. AI foundations for enhancing Factory Automation Systems
3. Software-inspired Business Models for Factory Automation Systems
4. Emerging Technologies for Factory Automation Systems

Additional information

The module provides Fundamental, Professional, and Technological Skills in the multidisciplinary process of Designing, Developing, Deploying and Monitoring of Software-Intensive Automation Systems in Factories, with special attention to the Automatic Gathering, Processing, and Integration of Information from Sensors and Actuators to Enterprise Information Systems. The studies are targeting graduates who will work for any of the Automation Value Chain Stakeholders, including: providers of Run-Time packages, Devices and Automation Suppliers, Machine Builders, System Integrators, and End-users. The studies in addition to provide the student with knowledge on the latest emerging and disruptive technologies within the field, also present the latest societal challenges affecting the field such as the aging of the population, the need for energy efficient Factories, and the integration of Factories in the Future Smart Cities.

Contact person for the study module is professor Jose L. Martinez Lastra.

The module also includes the definition of extended major.

Updated by: Heinola-Lepistö Johanna, 05.02.2019