Coursera

Cyber-Physical Systems: Modeling and Simulation (Coursera)

Offered by University of California, Santa Cruz,
Cyber-Physical Systems: Modeling and Simulation (Coursera)

Cyber-physical systems (CPS for short) combine digital and analog devices, interfaces, networks, computer systems, and the like, with the natural and man-made physical world. The inherent interconnected and heterogeneous combination of behaviors in these systems makes their analysis and design a challenging task.

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

CPS: Modeling and Simulation provides you with an introduction to modeling and simulation of cyber-physical systems. The main focus is on models of physical process, finite state machines, computation, converters between physical and cyber variables, and digital networks. The instructor of this course is Ricardo Sanfelice, Associate Professor in the Department of Computer Engineering at the University of California Santa Cruz.

Syllabus

WEEK 1: Basic Modeling Concepts: Discrete-time and Continuous-Time Systems
WEEK 2: Modeling Cyber Components: Finite State Machines, Computations, Algorithms, and a First CPS Model
WEEK 3: Modeling Interfaces for Cyber-Physical Systems: Conversion, Networks, and Complete CPS Models
WEEK 4: Trajectories in CPS and Simulations: Time Domains, Executions, and Complete CPS Models

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

Related Courses

Practical Steps for Building Fair AI Algorithms (Coursera) Coursera
Fred Hutchinson Cancer Center

Practical Steps for Building Fair AI Algorithms (Coursera)

Computer Science

Algorithms increasingly help make high-stakes decisions in healthcare, criminal justice, hiring, and other important areas. This makes it essential that these algorithms be fair, but recent years have shown the many ways algorithms can have biases by age, gender, nationality, race, and other attributes. This course will teach you ten practical principles for designing fair algorithms. It will emphasize real-world relevance via concrete takeaways from case studies of modern algorithms, including those in criminal justice, healthcare, and large language models like ChatGPT. You will come away with an understanding of the basic rules to follow when trying to design fair algorithms, and assess algorithms for fairness.

Nov 9th 2026
4 Weeks
Algorithms Algorithm Design Bias
Details
Machine Learning for Accounting with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

Data Science

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Nov 16th 2026
5-12 Weeks
Algorithms Machine Learning Clustering
Details
IoT Communications and Networks (Coursera) Coursera
Institut Mines-Telecom

IoT Communications and Networks (Coursera)

Security & Networking

By presenting the building blocks of the IoT network architecture, this MOOC will help learners adapt to the fast changing communications and networking environment of IoT. The IoT world represents billions of sophisticated objects, such as sensors, actuators and meters, that are deployed nearly everywhere, in homes, hospitals, factories, cities, and are connected to the Internet. However, they come with limited capacity in terms of memory storage, computational power and energy; how can these objects then ensure network reliability and timely transmission?

Nov 9th 2026
4 Weeks
Networks IoT Internet of Things
Details
Particle Dynamics (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Particle Dynamics (Coursera)

Engineering Sci: Physics

This course teaches dynamics, one of the basic mechanics subjects of Mechanical Engineering. Students would be able to organize their knowledge about force and motion, work-energy, impulse-momentum in view of Newton's 2nd law and its integration over time and displacement. The Engineering Dynamics consists of two parts: particle dynamics and rigid body dynamics.

Nov 9th 2026
13-24 Weeks
Energy Mechanics Force
Details
Cryptography I (Coursera) Coursera
Stanford University

Cryptography I (Coursera)

Security & Networking

Cryptography is an indispensable tool for protecting information in computer systems. In this course you will learn the inner workings of cryptographic systems and how to correctly use them in real-world applications. The course begins with a detailed discussion of how two parties who have a shared secret key can communicate securely when a powerful adversary eavesdrops and tampers with traffic.

Nov 16th 2026
5-12 Weeks
Cryptography Security Encryption
Details
Introduction to Data Networks and the Internet - Bachelor's (Coursera) Coursera
Illinois Tech

Introduction to Data Networks and the Internet - Bachelor's (Coursera)

Security & Networking

This course covers current and evolving data network technologies, protocols, network components, and the networks that use them, focusing on communication to and from the Internet and Local area networks. Course content includes Internet architecture, organization, and protocols including Ethernet, 802.11, routing, switching, OSI and TCP models, DNS, SNMP, DHCP, and more.

Nov 9th 2026
5-12 Weeks
Networks Internet Protocols
Details
VLSI CAD Part II: Layout (Coursera) Coursera
University of Illinois at Urbana-Champaign

VLSI CAD Part II: Layout (Coursera)

CS: Software Engineering CS: Theory

A modern VLSI chip is a remarkably complex beast: billions of transistors, millions of logic gates deployed for computation and control, big blocks of memory, embedded blocks of pre-designed functions designed by third parties (called “intellectual property” or IP blocks). How do people manage to design these complicated chips? Answer: a sequence of computer aided design (CAD) tools takes an abstract description of the chip, and refines it step-wise to a final design.

Nov 16th 2026
5-12 Weeks
Programming Algorithms ASIC
Details
Development of Real-Time Systems (Coursera) Coursera
EIT Digital

Development of Real-Time Systems (Coursera)

CS: Software Engineering

This course is intended for the Master's student and computer engineer who likes practical programming and problem solving! After completing this course, you will have the knowledge to plan and set-up a real-time system both on paper and in practice. The course centers around the problem of achieving timing correctness in embedded systems, which means to guarantee that the system reacts within the real-time requirements.

Nov 16th 2026
5-12 Weeks
Programming Computing Algorithms
Details
Introduction to Hardware and Operating Systems (Coursera) Coursera
IBM

Introduction to Hardware and Operating Systems (Coursera)

CS: Information & Technology

Organizations need workers who can help others with computer hardware, software, and connectivity issues. Healthcare organizations are still converting to digitized systems, requiring more IT support. Workers are retiring, and organizations are contracting workers through IT consultancies rather than in-house IT technicians. With remote and hybrid work here to stay, organizations must provide employees with the devices and support they need to remain connected and productive. Additionally, IT support roles are often a steppingstone that enables employees to grow into higher-paying IT careers.

Nov 9th 2026
5-12 Weeks
Hardware Operating Systems Information Technology
Details
Problem Solving, Python Programming, and Video Games (Coursera) Coursera
University of Alberta

Problem Solving, Python Programming, and Video Games (Coursera)

CS: Programming

This course is an introduction to computer science and programming in Python. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.

Nov 16th 2026
5-12 Weeks
Programming Python Algorithms
Details