Aachen, Germany

Robotics, Communication Networks & Innovation

online course
when 28 June 2021 - 16 July 2021
language English
duration 3 weeks
credits 3 EC
fee EUR 1794

The Online Course is dedicated to robotics, information theory and communication systems. The robotics part provides an overview of the main areas of robotics: robotic systems, kinematics and dynamics; and features the use of a robot education cell. The information theory and communication systems part covers the history of information theory and features practical examples of solving problems in modern communication technology, enabling students to better understand challenges in the systematic design of communication systems. As additional topic, mechatronics is introduced. It features a case study, in which students develop a mechatronic system.

✓ highly mixed/international group
✓ online lectures & tutorials
✓ group work & self study
✓ intercultural exchange
✓ virtual social events
✓ full online experience
✓ RWTH certificate

Course leader

The Institute of Mechanism Theory, Machine Dynamics and Robotics (IGMR) and the research group ISEK conduct the academic content.

Target group

✓ B.Sc./B.E. student enrolled at a renowned university
✓ Studying mechanical engineering or a related field
✓ Minimum age to participate is 18
✓ Strong technical interests
✓ Desired knowledge: Technical mechanics, automation technology, robotics, mechatronics, basic knowledge of computer science
✓ Minimum English language proficiency equivalent to:

TOEFL ibt : 72 points
IELTS: 5.5 band score
TOEIC: 785 points
Cambridge: FCE, Grade C

Course aim

The Summer School will introduce students to the fundamentals and challenges related to the engineering of mechatronic systems as well as product innovation. Three subject areas will be explored:

Robotic Systems, Kinematics and Dynamics
The course gives an overview of the main areas of robotics, whereby the mechanical structure as well as the mechatronic components used in robotics are in the focus. Kinematic and dynamic analysis are introduced fundamentally. The aim is to develop skills in the selection, synthesis, development, equipment and implementation of robotic systems based on a given handling, welding and e-commerce task.

After a detailed introduction into the development of robotics and different fields of application, the classification and the selection of suitable robots will be discussed. Later, the focus will be on the components and the application of robotic systems. Within the framework of a laboratory exercise, the students can solve and plan handling, welding and e-commerce tasks and check the solutions hands-on with a Robot- Education-Cell on the real industrial robot. In addition to that, presentations cover the fundamental theoretical aspects of robot mathematics, hence kinematic and dynamic analysis of a handling device. The presented topics span from the bare structure of a robotic handling problem to the abstract modelling and numerical optimization of the robot motion.

Fundamentals of Mechatronic Systems Engineering
How can a mechatronic system systematically be developed? The students learn and proactively work with tools to first analyze a system by means of systematic engineering design methodologies. They are introduced to how to define, formulate and manage distinct technical requirements. In the next step, they learn about the fragmentation of a product or system considering its functions. The so called function structure which is set up provides the basis for defining solution-neutral subsystems. This approach enables the students to work out new technical solutions and think "outside the box". The physical analysis of existing products/systems in the last step allows the students to evaluate and redesign existing partial solutions.

The application of the learned methodologies will finally allow the students to synthesize their knowledge to develop new mechatronic systems or to optimize or supplement functions of existing products in a targeted manner.

Information Theory and Systematic Design of Communication Systems
After showing the history of information theory and communication systems, the course introduces the basics of stochastic modelling, e.g., basic rules of probability theory, random variables, random vectors and transformations and stochastic models for mobile radio channels. Then, we will learn the elements of information transmission such as discrete models for entropy and transinformation, capacity, source coding, channel capacity and the fundamental theorem of channel coding. Throughout the course, we will also see many applications. The second part of this lecture addresses solving the occurring problems. In the last two decades, important problems in modern communication technology have been solved by means of optimization methods. In this course, the corresponding theory and efficient solution methods are provided. These are demonstrated with a variety of current examples from information theory and communication technology, e.g. power control in wireless networks and rate adaptation in multicarrier systems. Special emphasis is put on modeling, convex optimization, Lagrange duality and Karush-Kuhn-Tucker conditions. Further, we will address linear programming, branch-and-bound, heuristics for channel allocation, simulated annealing and other randomized procedures.

Credits info

3 EC
2, 3 or 4 ECTS credits according to the workload (about 60 hours / 2 weeks, about 90 hours / 3 weeks and about 120 hours / 4 weeks)

Please note:
Ultimately it is up to your home institution as to how many credits may be awarded. For details, please speak to your home institution’s Study Abroad Advisor!

Fee info

EUR 1794: Early Bird Discount: complete your application until 1 March to get a 10% discount on the total fees - in case of admission!