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Intelligent Mobile Systems
 

Intelligent Mobile Systems

BSc undergraduate program

This program covers engineering methods and technologies relevant in making artificial mobile systems independent of permanent human supervision, i.e., that enable mobile systems to autonomous intelligent operations. Application areas include the automotive and transport industries, robotics and automation, communication technologies, marine technology, and logistics. The program also includes transdisciplinary aspects related to the study of processes that enable mobility in intelligent natural systems. Hands-on experience with technical systems and methods in state-of-the art labs are part of the program.

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Program Structure and Content

Structure Intelligent Mobile Systems
Year 1
 
Take 3 CHOICE Modules, at least one free selection
 
Introduction to Intelligent Mobile Systems
This is an introductory module providing a strong theoretical and practical foundation for the core courses in the second year. The key components required to make man-made mobile systems intelligent are sensors, actuators, and algorithms. Students will be given an overview of basic technologies and concepts underlying each of these components. The module will cover the fundamental engineering tools to model mechanical, electrical, and mechatronic systems. A detailed introduction to linear systems theory will be provided, aided by computer simulation. Finally, you will get an introduction to basic electronics and complement your knowledge with lab exercises.
 
Year 2
 
Take 3 CORE Modules, at least 2 from study program
 
Intelligent Systems
This module teaches you about core technologies and algorithms which endow a man-made system with intelligence. You will learn how machines can process sensor data, including visual data, to perceive and represent their surroundings. Once an environment representation is available, an intelligent machine, such as a robot, can act on and change its environment after deliberate planning. Utilizing its accumulated experience, the machine can learn and adapt its behavior in the future. This module covers all of these aspects and thus gives you an in-depth understanding of machine perception and learning, as well as robotics.
 
Automation and Control
This module builds on top of the material learnt in the “Introduction to IMS” module and covers the general areas of control and automation, including also an introductory course in electronics with an accompanying lab. Topics covered include (but are not limited to): stability analysis, frequency (Laplace) domain modeling of systems, Bode plots, programmable controllers, basic electronics, and sensors and actuators used in industrial automation.
 
Planning and Optimization
This module is focused on developing the mathematical and engineering skills required to plan for and optimize complex systems such as Intelligent Mobille Systems. It contains two courses on optimization: one focusing on quantitative methods and techniques for effective decision making, and the other dedicated to broader optimization problems, covering topics such as Lagrange multipliers, convex, and nonlinear programming. A third course focuses on planning and decision-making algorithms for autonomous systems.
 
Year 3
 
Take CAREER Modules, choose between World and Campus Track
 
1. World Track
5th Semester:
  • Program-specific Internship / study abroad
6th Semester:
  • Program-specific Project / Thesis Module
  • Program-specific Specialization Module
  • Exemplary course offering:
    Marine Robotics
    Advanced Digital Design
    Modelling Dynamics in Industrial Systems
    Distributed Algorithms
 

2. Campus Track
Students who do not enter the World Track follow the Campus Track
5th and 6th Semester:
  • Program-specific Project / Thesis Module
  • Program-specific Specialization Module (please see World Track for exemplary course offering)
  • Additional CORE Module
For further information, please see the program website: