Digital Learning Initiative – Courses

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The following courses are open to all students enrolled at one of the EuroTech Alliance or the EuroTeQ consortium universities:

  • Czech Technical University in Prague - CTU
  • Technical University of Denmark - DTU
  • École polytechnique fédérale de Lausanne - EPFL
  • École Polytechnique - L'X
  • Tallinn University of Technology - TalTech
  • Technion - Israel Institute of Technology
  • Eindhoven University of Technology - TU/e
  • Technical University of Munich - TUM

Please register for each course directly with the corresponding university, following the guidelines as outlined below.


Tallinn University of Technology

For registering you as a student in the TalTech study information system, please fill in this application form. After having completed and signed the form, please send a scanned copy via email to riina.potter@taltech.ee. After you have been registered as a student at TalTech study information system, you will be notified how to log in. After the study period has ended, the Mobility Centre will provide the visiting student with the Transcript of Records. The official document with your academic results at TalTech will be sent to your home university via regular post. A scanned version of your transcript will be sent to you and to your home university by email. Please note that, although the semester at TalTech has already started in September, EuroTech/EuroTeQ students are still welcome to join.

Mechatronics Systems Modelling and Control (EEM0090)

The learning outcome of the course is an overview and knowledge of the state-of-the-art within modelling of mechatronic systems. The successful student will know the governing equations for steady-state and dynamic modelling of the basic electronic, electrical, hydraulic, pneumatic and mechanical sub-systems of a mechatronic system. Also, the successful candidate will be capable of combining these equations into models of closed-loop controlled mechatronic systems.
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Machine Vision (EEM0040)

Understanding Machine Vision technology applications; Characteristics of Systems; Vision System Elements, Sensors, and data acquisition; Biological-Based Optical Sensors and Transducers; Machine Vision Importance for Real Mechatronic Applications and Automation; Machine Vision Industry; Machine Vision Concepts and algorithms; Image Acquisition; Image Conversion; Optical Information Processing and Pattern Recognition; Real-Time Feature Extraction and Image Recognition; Feature Selection and Planning for Visual Servoing; Image Processing and Decision-Making; Visual Methods for Monitoring and Detecting; Visual Guidance for Robots; Three-Dimensional Machine Vision Techniques; Evaluating Machine Vision Applications; Application Analysis and Implementation; Alternatives to Machine Vision and trends. Use of AI and Machine Learning at Machine Vision problem solving.
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Concurrent Product Development (EMT8600)

Product development (PD) contents and goals in modern industrial environment. Different schemes of PD. Typical mistakes in building up a product development process. Creation of the innovation culture in an enterprise. Product planning process. Mission, goals and PD politics in a modern enterprise. Product and production lifetimes. Timing of the investments. Technology road-mapping and technology pyramids. Market analysis and market strategy of an enterprise. Product pricing, a meta-value approach. Product life-cycle cost. PD. Project and its management. Group management dynamics, composing of the team, decision-making techniques. Paradigm of product developer profile. Engineering design models and tools. Design for X. Quality and sustainability dimension in PD. Industrial design and Kansey engineering. Economics of PD. Examples of successful PD. Evaluation of the results and risks in PD. Situation of PD in Estonia.
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Internet of Things for Industry (EMT0140)

The concept of IoT. IoT for industry specifics. IoT industrial technologies, components and sub-systems. Radio signals and data exchange protocols. Industrial sensors and actuators in the system, component selection. Security and data protection. Industrial IoT systems, design and implementation principles. Industrial process monitoring, data analysis and interpenetration. Practical system design and modeling. System set-up and programming.
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Product Engineering – Planning and Control (EMT0150)

Main components of production. Product, its description. Production concepts. Organization and management of manufacturing enterprise. Business chain. Company structure. Process management. Information flows. Customers, markets. Integrated production. Production systems and their classification. Technological capabilities. Production subsystems. Quality, productivity and flexibility - factors promoting the competitiveness. Quality functions as key factors. Quality, productivity and flexibility - factors promoting the competitiveness. Productivity. Human resources management. Order handling process. Essence of production planning. Layout planning. Transportation tasks. Determination of an optimal order of detail machining. Practical exercises in computer class for simulating the material flows and bottlenecks. Production planning and control production games.
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Technical University of Munich

TUM combines top-class facilities for cutting-edge research with unique learning opportunities for 42,705 students. This winter semester, selected courses are opened for students from the EuroTech & EuroTeQ Alliance partners. Please note that in the winter semester 2020/21, the lecture period starts on 02 November 2020, and will end on 12 February 2021. If you are interested in joining one of these courses, please contact Marita Mau (mau@zv.tum.de). Please indicate why the selected course complements your study plan, as well as your motivation and previous courses attended in the same academic field, if any. Coursework can be awarded with a EuroTech/EuroTeQ certificate. Please discuss with your home university’s Study Office if ECTS can be transferred.

Ethics of Responsibility: An Introduction to Applied Ethics

This course offers an introduction to ethics to give an overview of different ethical positions, their justifications and applications in science and technology. Our every-day life is shaped extensively by science and technology. With respect of their outstanding success for modern societies science and technology are also confronted with a lot of ethical challenges. Two main issues can be identified: first the relationship between purpose (e.g. progress?) and (technical) innovations relating to the ethical consequences (Do ends justify the means?) and second the ethical validation of direct and incidental consequences of technical practice (risk and success). How can our current challenges be successfully handled in a ethically responsibility manner? What could be the elements of a concept of a "responsible innovation”?

Communication Acoustics

In this course, we will cover the fundamentals of communication acoustics, which is the way sounds travel from a source through a channel to a receiver. We will also look at different system components involved in acoustic communication. This engineering course covers the fundamentals of communication acoustics - the way sounds travel to a receiver, originating from a source and conducted through a channel. We will look at the different system components involved in acoustic communication, including those between humans, between humans and machines, and between machines.

Image Processing in Physics

This course will cover a wide range of advanced techniques used for image processing and image reconstruction, with a special focus on physical science applications. Following a problem-solving philosophy, the course will motivate all techniques and fundamental concepts with problems drawn from real-life applications. Each class will address a specific technique, yet all will be linked by recurrent essential topics including Fourier analysis, linear algebra, iterative techniques, maximum likelihood and convex optimization. In addition to the two-hour classes, a weekly one-hour exercise session will take place to answer questions and present homework solutions. Exercises will take the form of simple programming tasks.

Introduction to Earth System Science

This course consists of two main topics: part A "Outer System" and part B "Inner System" and is connecting earth's interior and earth's surface up to Earth's orbits. Part A: Outer System: components of the Earth System (atmosphere, ocean, cryosphere, solid Earth), electromagnetic radiation and matter, solar radiation and the Earth system, radiation balance, greenhouse effect, spatial and temporal variations, astronomical rhythms (day/night, seasons, Milankovitch cycle), atmospheric circulation, oceans, continental hydrology, cryosphere, the role of satellites (active and passive sensors). Part B: Inner System: dynamics of the earth interior, heat exchange, mantle convection, analysis of seismic wave propagation, potential fields: magnetic field, gravity field; measuring solid Earth processes with satellites (GPS, gravimetry, magnetometry, topography), interaction of inner and outer part of the earth system.

Global Geodetic Observing System and GNSS

This course covers the extended principles and methods of global geodetic observation of the Earth system and the quantification of change processes by means of geodetic space techniques and satellite missions, the determination of consistent reference systems and the scientific use of GNSS. An introduction to Global Geodetic Observing System is followed by looking at the topics: The components of the complex system Earth (solid Earth, atmosphere, radiation balance, geophysical fluids), Observation techniques: geodetic space methods, satellite missions, Combination of observation techniques, Global reference systems, Gravity field missions, GGOS as element of Earth system research.