Coursera

Modelling and simulation of mechanical systems (Coursera)

Offered by University of Naples Federico II,
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

Camera and Imaging (Coursera) Coursera
Columbia University

Camera and Imaging (Coursera)

CS: Software Engineering Computer Science

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.

Jun 15th 2026
5-12 Weeks
Image Computer Vision Image Processing
Details
Artificial Intelligence on Microsoft Azure (Coursera) Coursera
Microsoft

Artificial Intelligence on Microsoft Azure (Coursera)

CS: Information & Technology

Whether you're just beginning to work with Artificial Intelligence (AI) or you already have AI experience and are new to Microsoft Azure, this course provides you with everything you need to get started. Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.

Jun 15th 2026
1 Week
Artificial Intelligence NLP Machine Learning
Details
Object Tracking and Motion Detection with Computer Vision (Coursera) Coursera
MathWorks

Object Tracking and Motion Detection with Computer Vision (Coursera)

Engineering

In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track objects and detect motion in videos. Tracking objects and detecting motion are difficult tasks but are required for applications as varied as microbiology and autonomous systems. To track objects, you first need to detect them. You’ll use pre-trained deep neural networks to perform object detection. You’ll also use optical flow to detect motion and use the results to detect moving objects.

Jun 15th 2026
4 Weeks
MATLAB Computer Vision Object Detection
Details
Introduction to Computer Vision (Coursera) Coursera
University of Colorado Boulder

Introduction to Computer Vision (Coursera)

CS: Software Engineering

Introduction to Computer Vision guides learners through the essential algorithms and methods to help computers 'see' and interpret visual data. You will first learn the core concepts and techniques that have been traditionally used to analyze images. Then, you will learn modern deep learning methods, such as neural networks and specific models designed for image recognition, and how it can be used to perform more complex tasks like object detection and image segmentation. Additionally, you will learn the creation and impact of AI-generated images and videos, exploring the ethical considerations of such technology.

Jun 15th 2026
4 Weeks
Neural Networks Computer Vision Image Analysis
Details
Smart Device & Mobile Emerging Technologies (Coursera) Coursera
Yonsei University

Smart Device & Mobile Emerging Technologies (Coursera)

CS: Information & Technology Computer Science

In this course, the start-of-the-art smartphone and smart watch technology and components in addition to the global market trends and future forecasts are introduced. Since everybody uses smartphones and smart watches, knowing the details about the most globally used electronic device will definitely help you in all aspects of new product and app design & development, as well as business planning.

Jun 15th 2026
5-12 Weeks
Android iOS SmartPhone
Details
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)

CS: Theory

¿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
Image Computer Vision Image Classification
Details
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)

CS: Software Engineering Computer Science

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.

Jun 22nd 2026
4 Weeks
Artificial Intelligence Machine Learning Neural Networks
Details
AI and Disaster Management (Coursera) Coursera
DeepLearning.AI

AI and Disaster Management (Coursera)

Data Science

In Course 3, AI and Disaster Management, you will begin by learning how natural disasters create both short and long-term impacts on the economy, environment, and community. You will learn how the disaster management cycle can be used to reduce the impacts of a disaster and guidelines for how you can engage in disaster-related projects.

Jun 15th 2026
3 Weeks
Artificial Intelligence Natural Disasters Computer Vision
Details
Object Localization with TensorFlow (Coursera) Coursera
Coursera Project Network

Object Localization with TensorFlow (Coursera)

Data Science

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.

Jun 22nd 2026
Self-Paced
Machine Learning Computer Vision Data Visualization
Details
Computer Vision with Embedded Machine Learning (Coursera) Coursera
Edge Impulse

Computer Vision with Embedded Machine Learning (Coursera)

Data Science

Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems.

Jun 8th 2026
3 Weeks
Machine Learning Computer Vision Object Detection
Details