Coursera

Modelling and simulation of mechanical systems (Coursera)

Offered by University of Naples Federico II,

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

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.

Sep 7th 2026

4 Weeks

MATLAB Computer Vision Object Detection

Coursera

University of Colorado Boulder

Analytical Mechanics for Spacecraft Dynamics (Coursera)

Engineering

This course is part 2 of the specialization Advanced Spacecraft Dynamics and Control. It assumes you have a strong foundation in spacecraft dynamics and control, including particle dynamics, rotating frame, rigid body kinematics and kinetics. The focus of the course is to understand key analytical mechanics methodologies to develop equations of motion in an algebraically efficient manner.

Sep 7th 2026

3 Weeks

Aeromechanics Spacecraft Lagrangian Mechanics

Coursera

University of California, San Diego

Internet of Things: Multimedia Technologies (Coursera)

Engineering CS: Information & Technology

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.

Sep 14th 2026

3 Weeks

Multimedia Computer Vision Electrical Engineering

Coursera

Arm

Getting Started with Machine Learning at the Edge on Arm (Coursera)

Computer Science

The age of machine learning has arrived! Arm technology is powering a new generation of connected devices with sophisticated sensors that can collect a vast range of environmental, spatial and audio/visual data. Typically this data is processed in the cloud using advanced machine learning tools that are enabling new applications reshaping the way we work, travel, live and play.

Sep 28th 2026

5-12 Weeks

Machine Learning Computer Vision IoT

Coursera

University of Naples Federico II

A quick tour on Big Data and Business Intelligence (Coursera)

Engineering

This course is devoted to beginners and practitioners of Big Data and AI fields. It will be a quick overview of some basic concepts that could be further elaborated by professionals. Ranging from CAP theorem to Turing assumption, we will provide a starting guide for diving in these fascinating topics.

Sep 14th 2026

4 Weeks

Artificial Intelligence Big Data Hadoop

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 29th 2026

4 Weeks

Neural Networks Computer Vision Image Analysis

Coursera

Universidad Nacional Autónoma de México

Control automático: La tecnología invisible (Coursera)

Engineering

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.

Sep 28th 2026

3 Weeks

Control Systems Automatic Control

Coursera

Johns Hopkins University

Calculus through Data & Modelling: Vector Calculus (Coursera)

Sci: Mathematics

This course continues your study of calculus by focusing on the applications of integration to vector valued functions, or vector fields. These are functions that assign vectors to points in space, allowing us to develop advanced theories to then apply to real-world problems. We define line integrals, which can be used to fund the work done by a vector field. We culminate this course with Green's Theorem, which describes the relationship between certain kinds of line integrals on closed paths and double integrals.

Sep 14th 2026

3 Weeks

Calculus Data Integrals

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.

Sep 7th 2026

5-12 Weeks

Image Computer Vision Image Processing

Coursera

University of Toronto

Visual Perception for Self-Driving Cars (Coursera)

CS: Software Engineering Computer Science

Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks.

Sep 7th 2026

5-12 Weeks

Neural Networks Computer Science Vehicle Dynamics

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.

Sep 7th 2026

5-12 Weeks

Android iOS SmartPhone

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.

Sep 7th 2026

1 Week

Artificial Intelligence NLP Machine Learning