This course is part of Foundations of Autonomous Systems Specialization

Instructor: Majid Zamani

What you'll learn

  •   Model basic autonomous systems including linear control systems, sequential circuits, and simple timed automata in a unified fashion
  •   Describe solutions and behaviors of systems
  •   Define and illustrate interconnections between system

    • Skills you'll gain

  •   Verification And Validation
  •   Automation
  •   Simulations
  •   Differential Equations
  •   Hardware Architecture
  •   Software Systems
  •   Systems Analysis
  •   Systems Engineering
  •   Mathematical Modeling
  •   Mechanical Engineering
  •   Applied Mathematics

    • There are 4 modules in this course

    This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

    Foundations of Autonomous Systems Modeling

    Modeling Physical Systems and Hybrid Systems

    Systems' Behaviors and Composition

    Explore more from Design and Product

    Foundations of Autonomous Systems

    Requirement Specifications for Autonomous Systems

    Verification and Synthesis of Autonomous Systems

    Control Systems Analysis: Modeling of Dynamic Systems

    ©2025  ementorhub.com. All rights reserved