Modelling and simulation of mechanical systems (Coursera)

Modelling and simulation of mechanical systems (Coursera)

The course provides the principles of modelling and simulation of modern mechatronic systems, which are mechanical systems integrated with several types of sensors and actuators. The aim of the course is to show different methodologies to improve the potential of mechanical systems by transforming them into mechatronic systems based on virtual models. In particular, the lessons will be focused on case studies in three engineering fields: robotics, controlled electro-hydraulic actuators and smart devices.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This course is part of the Autonomous Vehicle Engineering Specialization.

Syllabus

Computer vision for the control of mechanical systems
Module 1
Computer vision for the control of mechanical systems.

Modelling, control and simulation of electro-hydraulic shake tables
Module 2
Modelling, control and simulation of electro-hydraulic shake tables.

Design and development of a smart tyre
Module 3
Design and development of a smart tyre.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Autonomous Aerospace Systems (Coursera) Coursera
University of Naples Federico II

Autonomous Aerospace Systems (Coursera)

The course aims to provide the knowledge needed to design and develop efficient driving and navigation solutions for autonomous vehicles. Driving can be strategic or tactical while navigation is the function that provides information about the position, speed and orientation of the vehicle. It is made by integrating measurement from different sources, such as sensors and receivers.

Nov 9th 2026
5-12 Weeks
Calculus through Data & Modelling: Techniques of Integration (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modelling: Techniques of Integration (Coursera)

In this course, we build on previously defined notions of the integral of a single-variable function over an interval. Now, we will extend our understanding of integrals to work with functions of more than one variable. First, we will learn how to integrate a real-valued multivariable function over different regions in the plane. Then, we will introduce vector functions, which assigns a point to a vector. This will prepare us for our final course in the specialization on vector calculus. Finally, we will introduce techniques to approximate definite integrals when working with discrete data and through a peer reviewed project on, apply these techniques real world problems.

Nov 9th 2026
4 Weeks
Machine Learning for Computer Vision (Coursera) Coursera
MathWorks

Machine Learning for Computer Vision (Coursera)

In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects.

Nov 2nd 2026
4 Weeks
Camera and Imaging (Coursera) Coursera
Columbia University

Camera and Imaging (Coursera)

This course covers the fundamentals of imaging – the creation of an image that is ready for consumption or processing by a human or a machine. Imaging has a long history, spanning several centuries. But the advances made in the last three decades have revolutionized the camera and dramatically improved the robustness and accuracy of computer vision systems. We describe the fundamentals of imaging, as well as recent innovations in imaging that have had a profound impact on computer vision.

Nov 2nd 2026
5-12 Weeks
Computer Vision in Microsoft Azure (Coursera) Coursera
Microsoft

Computer Vision in Microsoft Azure (Coursera)

In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications"see" the world and make sense of it. This ability to process images is the key to creating software that can emulate human visual perception. In this course, you'll explore some of these capabilities as you learn how to use the Computer Vision service to analyze images.

Nov 2nd 2026
3 Weeks
Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen? (Coursera) Coursera
Universitat Autònoma de Barcelona

Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen? (Coursera)

¿Te interesa la visión por computador? ¿Te gustaría saber cómo se puede reconocer el contenido visual de las imágenes y clasificarlas a partir de su contenido? En este curso aprenderás diferentes métodos de representación y clasificación de imágenes. El temario del curso te permitirá conocer el esquema básico de clasificación de imágenes conocido como Bag of Visual Words.

May 25th 2026
5-12 Weeks
Internet of Things: Multimedia Technologies (Coursera) Coursera
University of California, San Diego

Internet of Things: Multimedia Technologies (Coursera)

Content is an eminent example of the features that contributed to the success of wireless Internet. Mobile platforms such as the Snapdragon™ processor have special hardware and software capabilities to make acquisition, processing and rendering of multimedia content efficient and cost-effective.

Nov 9th 2026
3 Weeks
Control automático: La tecnología invisible (Coursera) Coursera
Universidad Nacional Autónoma de México

Control automático: La tecnología invisible (Coursera)

A lo largo de la historia, el ser humano se ha empeñado en construir dispositivos que le hagan más cómodo su día a día. Además, siempre ha estado interesado en que éstos lleven a cabo la tarea por sí mismos, sin necesidad de una supervisión continua. En nuestros días, muchos dispositivos llevan a cabo tareas como por arte de magia; pareciera que piensan o que adivinan nuestros deseos, que nunca se pueden equivocar o que su precisión y velocidad no puede ser superada. Los sistemas de control son una parte crucial de este funcionamiento.

Nov 23rd 2026
3 Weeks
Calculus through Data & Modelling: Integration Applications (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modelling: Integration Applications (Coursera)

This course continues your study of calculus by focusing on the applications of integration. The applications in this section have many common features. First, each is an example of a quantity that is computed by evaluating a definite integral. Second, the formula for that application is derived from Riemann sums. Rather than measure rates of change as we did with differential calculus, the definite integral allows us to measure the accumulation of a quantity over some interval of input values.

Nov 9th 2026
4 Weeks
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera) Coursera
DeepLearning.AI

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

Nov 9th 2026
4 Weeks
Object Localization with TensorFlow (Coursera) Coursera
Coursera Project Network

Object Localization with TensorFlow (Coursera)

Welcome to this 2 hour long guided project on creating and training an Object Localization model with TensorFlow. In this guided project, we are going to use TensorFlow's Keras API to create a convolutional neural network which will be trained to classify as well as localize emojis in images. Localization, in this context, means the position of the emojis in the images. This means that the network will have one input and two outputs.

Nov 2nd 2026
Self-Paced