Matlab and Simulink Basics (Coursera)

Offered by Starweaver,
Matlab and Simulink Basics (Coursera)

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.

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

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.

What you'll learn

  • 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.

Syllabus

Introduction to Matlab
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.

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

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

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

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

Related Courses

Fundamentos de la visualización de datos con Tableau (Coursera) Coursera
Universidad Austral

Fundamentos de la visualización de datos con Tableau (Coursera)

En este curso descubrirás qué es la visualización de datos y cómo podemos usarla para ver y comprender mejor los datos. Con Tableau, examinaremos los conceptos fundamentales de visualización de datos y exploraremos la interfaz de Tableau, identificando y aplicando las diversas herramientas que Tableau tiene para ofrecer. Este curso está diseñado para el alumno que nunca ha usado antes Tableau, o que puede necesitar un repaso, o desea explorar Tableau con más profundidad.

Oct 12th 2026
4 Weeks
Accounting Data Analytics with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Accounting Data Analytics with Python (Coursera)

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

Oct 12th 2026
5-12 Weeks
Pre-MBA Statistics (Coursera) Coursera
Indian Institute of Management Ahmedabad (IIMA)

Pre-MBA Statistics (Coursera)

Welcome to the Pre-MBA Statistics course! By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various data types and describe the operations that you can execute with each type of data and the right tools to use.

Oct 12th 2026
5-12 Weeks
Fundamentals of Machine Learning in Finance (Coursera) Coursera
New York University Tandon School of Engineering

Fundamentals of Machine Learning in Finance (Coursera)

The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.

Oct 12th 2026
4 Weeks
Fundamentos de Excel para Negocios (Coursera) Coursera
Universidad Austral

Fundamentos de Excel para Negocios (Coursera)

Cuando finalices este curso habrás logrado un gran número de habilidades como introducir información, ordenarla, manipularla, realizar cálculos de diversa índole (matemáticos, trigonométricos, estadísticos, financieros, ingenieriles, probabilísticos), extraer conclusiones, trabajar con fechas y horas, construir gráficos, imprimir reportes y muchas más.

Oct 12th 2026
5-12 Weeks
Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera) Coursera
The Chinese University of Hong Kong

Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera)

在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中,结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析,弥补了传统回归分析和因子分析的不足,可以分析多因多果的联系、潜变量的关系,

Oct 12th 2026
5-12 Weeks
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s).

Oct 12th 2026
4 Weeks
Business Statistics and Analysis Capstone (Coursera) Coursera
Rice University

Business Statistics and Analysis Capstone (Coursera)

The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand.

Oct 12th 2026
4 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Oct 12th 2026
4 Weeks