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Cours associés (12)
MICRO-453: Robotics practicals
The goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic dev
MICRO-452: Basics of mobile robotics
The course teaches the basics of autonomous mobile robots. Both hardware (energy, locomotion, sensors) and software (signal processing, control, localization, trajectory planning, high-level control)
ENV-548: Sensor orientation
Determination of spatial orientation (i.e. position, velocity, attitude) via integration of inertial sensors with satellite positioning. Prerequisite for many applications related to remote sensing, e
ENV-542: Advanced satellite positioning
All fundamental principles behind modern satellite positioning to acquire, track and evaluate direct and indirect satellite signals and process them in relation to example applications: Earth monito
EE-320: Analog IC design
Introduction to the design of analog CMOS integrated circuits at the transistor level. Understanding and design of basic structures.
ENV-140: Fundamentals of geomatics
Bases de la géomatique pour les ingénieur·e·s civil et en environnement. Présentation des méthodes d'acquisition, de gestion et de représentation des géodonnées. Apprentissage pratique avec des méthod
CIVIL-449: Nonlinear analysis of structures
This course provides an introduction to the nonlinear modelling of civil engineering structures.
EE-619: Advanced topics in network neuroscience
The main goal of this course is to give the student a solid introduction into approaches, methods, and tools for brain network analysis. The student will learn about principles of network science and
ENV-340: Fundamentals of satellite positioning
Bases des références géodésiques, principe de mesure utilisé en localisation par satellites et de l'estimation de la qualité de positions GNSS (Global Navigation Satellites Systems).
EE-477: Multivariable control and coordination systems
The objective is to enable students to design advanced digital solutions for the control and the coordination of distributed dynamic systems, such as production or distribution energy systems, as well