Matlab and Simulink Basics

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues. Consultez les langues disponibles.

Matlab and Simulink Basics

Instructeurs : Karlis Zars

9 010 déjà inscrits

Inclus avec

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

55 avis

niveau Débutant

Expérience recommandée

7 heures à compléter

Planning flexible

Apprenez à votre propre rythme

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

55 avis

niveau Débutant

Expérience recommandée

7 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Identify basic features and capabilities of Matlab and Simulink.
Apply Matlab and Simulink tools to solve simple computational problems.
Analyze data using Matlab's advanced functions.
Design and simulate models in Simulink for various applications.

Compétences que vous acquerrez

Catégorie : Mathematical Modeling
Catégorie : Programming Principles
Catégorie : Data Manipulation
Catégorie : Data Structures
Catégorie : Debugging
Catégorie : Data Analysis
Catégorie : Engineering Analysis
Catégorie : Data Integration
Catégorie : Computer Programming
Catégorie : Simulation and Simulation Software
Catégorie : Data Visualization

Outils que vous découvrirez

Catégorie : Matlab

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

4 devoirs

Enseigné en Anglais

Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées

En savoir plus sur Coursera pour les affaires

logos de Petrobras, TATA, Danone, Capgemini, P&G et L'Oreal

Il y a 4 modules dans ce cours

Matlab and Simulink Basics is a meticulously crafted course offering a comprehensive introduction to Matlab's programming environment and Simulink's modeling capabilities. This course is tailored for individuals keen on bolstering their skills in these indispensable tools for engineering, science, and research domains. From laying down foundational concepts to delving into practical applications, participants will embark on a journey that hones their abilities to manipulate data, design models, and interpret results with Matlab and Simulink.

This course is ideal for beginners and intermediate learners aiming to harness the power of Matlab and Simulink. Target learners include aspiring engineers, scientists, researchers, and students looking to build a solid foundation in computational problem-solving and simulation. To make the most out of this course, participants should possess a basic understanding of programming concepts and fundamental knowledge of mathematics and engineering principles. This ensures a smoother transition into grasping the intricacies of Matlab and Simulink, facilitating a more immersive learning experience. With a duration of 4.0 hours, this course offers a structured approach to mastering Matlab and Simulink, ensuring learners progress from fundamental concepts to more advanced applications seamlessly. Through a series of engaging modules and hands-on exercises, participants will develop proficiency in Matlab programming, data analysis, model simulation, and integration with Simulink. By the end of the course, learners will be equipped with essential skills to tackle real-world engineering and scientific challenges with confidence and precision. In summary, Matlab and Simulink Basics are designed to empower learners with the foundational knowledge and practical skills necessary to excel in engineering, science, and research endeavors. Whether embarking on a career in academia or industry, participants will find this course invaluable in unlocking their potential and driving innovation in their respective fields.

This module introduces users to the basics of Matlab, covering the interface, fundamental operations, basic programming concepts, intermediate features like data types and structures, functions and scripts, control flow, logical operations, and data visualization and analysis techniques.

Inclus

10 vidéos4 lectures1 devoir2 sujets de discussion

10 vidéos Total 63 minutes

Introduction & welcome 2 minutes
Introduction to matlab interface 10 minutes
Fundamental matlab operations 4 minutes
Basic matlab programming concepts 10 minutes
Data types and structures 3 minutes
Matlab functions and scripts 10 minutes
Control flow and logical operations 9 minutes
Introduction to plotting and graphs 4 minutes
Customizing matlab plots 7 minutes
Handling multidimensional data 3 minutes

4 lectures Total 20 minutes

Welcome to the course 5 minutes
Introduction to Matlab Programming 5 minutes
Matlab Data Structures 5 minutes
Data Visualization Techniques in Matlab 5 minutes

1 devoir Total 30 minutes

Introduction to Matlab 30 minutes

2 sujets de discussion Total 20 minutes

Unlocking Problem-Solving Potential: Control Flow and Logical Operations in Matlab 10 minutes
Visualizing Insights: Customizing Matlab Plots for Effective Data Presentation 10 minutes

Module 2 focuses on advanced Matlab programming techniques, including handling complex data structures, scientific computing, and best practices for efficient code writing and optimization.

Inclus

10 vidéos3 lectures1 devoir2 sujets de discussion

10 vidéos Total 46 minutes

Introduction to module 2 2 minutes
Working with matrices and arrays 8 minutes
Cell arrays, tables, and structures 5 minutes
File I/O and data import/export 4 minutes
Numerical methods and algorithms 4 minutes
Optimization and computational techniques 5 minutes
Matlab for simulation 8 minutes
Efficient code writing in matlab 4 minutes
Debugging and error handling 5 minutes
Integration with other programming languages 3 minutes

3 lectures Total 15 minutes

Advanced Matlab: Structures and Cell Arrays 5 minutes
What Is Scientific Computing? 5 minutes
Matlab Programming Techniques 5 minutes

1 devoir Total 30 minutes

Advanced Matlab Programming 30 minutes

2 sujets de discussion Total 20 minutes

Efficiency in Data Analysis: Leveraging File I/O and Data Import/Export in Matlab 10 minutes
Optimizing Performance: Writing Efficient Code in Matlab for Large-Scale Projects 10 minutes

This module provides an introduction to Simulink, a graphical programming environment for modeling, simulating, and analyzing multidomain dynamical systems.

Inclus

10 vidéos3 lectures1 devoir2 sujets de discussion

10 vidéos Total 40 minutes

Introduction to module 3 2 minutes
Navigating the simulink environment 5 minutes
Building basic models in simulink 5 minutes
Simulating Models in Simulink 3 minutes
Developing complex simulink models 3 minutes
Simulink for control systems 4 minutes
Using simulink for dynamic systems simulation 5 minutes
Electrical systems modeling 5 minutes
Mechanical systems simulation 4 minutes
Using simulink in research 3 minutes

3 lectures Total 15 minutes

Getting Started with Simulink 5 minutes
Complex Model Building in Simulink 5 minutes
Simulink in Practice 5 minutes

1 devoir Total 30 minutes

Introduction to Simulink 30 minutes

2 sujets de discussion Total 20 minutes

Engineering Reliability: Harnessing Simulink's Simulation Capabilities for System Design 10 minutes
Powering Innovation: Applying Simulink in Electrical Systems Modeling for Advances in Engineering 10 minutes

Module 4 focuses on integrating Matlab and Simulink for combined applications, real-world projects, and a capstone project.

Inclus

11 vidéos3 lectures1 devoir2 sujets de discussion

11 vidéos Total 28 minutes

Introduction to module 4 2 minutes
Interfacing matlab with simulink 3 minutes
Data sharing between matlab and simulink 3 minutes
Project-based learning with matlab and simulink 3 minutes
Case studies in engineering and science 3 minutes
Matlab and simulink in industry 3 minutes
Collaborative projects using matlab and simulink 3 minutes
Planning and starting your capstone project 3 minutes
Development and implementation of the project 3 minutes
Presentation of projects and course summary 3 minutes
Wrap up and key takeaways 1 minute

3 lectures Total 15 minutes

Integrating Matlab with Simulink 5 minutes
Matlab and Simulink in Industry 5 minutes
Developing Engineering Projects with Matlab and Simulink 5 minutes

1 devoir Total 30 minutes

Integrating Matlab and Simulink 30 minutes

2 sujets de discussion Total 20 minutes

Collaborative Innovation: Enhancing Multidisciplinary Projects through Matlab-Simulink Data Sharing 10 minutes
Reinforcing Learning: Reflecting on Course Progress and Skill Application through Matlab-Simulink Integration 10 minutes

Instructeurs

Évaluations de l’enseignant

(23 évaluations)

Karlis Zars

Starweaver

33 Cours 60 216 apprenants

Offert par

Starweaver

Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?

Felipe M.

Étudiant(e) depuis 2018

’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’

Jennifer J.

Étudiant(e) depuis 2020

’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’

Larry W.

Étudiant(e) depuis 2021

’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’

Chaitanya A.

’Apprendre, ce n'est pas seulement s'améliorer dans son travail : c'est bien plus que cela. Coursera me permet d'apprendre sans limites.’

Avis des étudiants

5 stars
54,54 %
4 stars
25,45 %
3 stars
3,63 %
2 stars
9,09 %
1 star
7,27 %

Affichage de 3 sur 55

Révisé le 30 juin 2025

Very informative, easy to digest introductory level course in MATLAB and Simulink. Thank you very much!

Révisé le 30 déc. 2024

Good, very must needed for beginner on Matlab and simulink

Révisé le 9 août 2024

It could have been more interactive, meaning assignments such as to write a code and submit the results.

Voir plus d’avis

Ouvrez de nouvelles portes avec Coursera Plus

Accès illimité à 10,000+ cours de niveau international, projets pratiques et programmes de certification prêts à l'emploi - tous inclus dans votre abonnement.

Faites progresser votre carrière avec un diplôme en ligne

Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne

Découvrir les diplômes

Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires

Améliorez les compétences de vos employés pour exceller dans l’économie numérique

Foire Aux Questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.