Matlab and Simulink Basics
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Matlab and Simulink Basics
Instructors: Karlis Zars
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57 reviews
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What you'll learn
Identify the basic features and capabilities of Matlab and Simulink for programming, modeling, and simulation.
Apply Matlab and Simulink tools to solve simple computational problems.
Analyze data using Matlab's advanced functions and data analysis techniques.
Design and simulate models in Simulink for engineering, scientific, and real-world applications.
Skills you'll gain
Tools you'll learn
Details to know
4 assignments
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There are 4 modules in this course
Matlab and Simulink Basics is a meticulously crafted course that provides a comprehensive introduction to the Matlab and Simulink environment, covering both Matlab programming and Simulinkβs powerful modeling capabilities. This course is designed for learners seeking to strengthen their skills in these essential tools widely used across engineering, science, and research domains. From foundational concepts to practical applications, participants will develop the ability to manipulate data, design models, and interpret results using Matlab with Simulink effectively.
This course is ideal for beginners and intermediate learners aiming to harness the capabilities of Matlab and Simulink for computational problem-solving and simulation. Target learners include aspiring engineers, scientists, researchers, and students seeking a strong foundation in modeling and simulation with Simulink, data analysis, and engineering workflows. Participants should possess a basic understanding of programming concepts along with foundational knowledge of mathematics and engineering principles to support a smoother learning experience. Over 4 hours, this course offers a structured pathway for mastering Matlab and Simulink basics, enabling learners to progress seamlessly from introductory concepts to more advanced applications. Through engaging modules and hands-on exercises, participants will build proficiency in Matlab programming online, data analysis, model simulation, and integration using 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 course is 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.
What's included
10 videos4 readings1 assignment2 discussion prompts
10 videosβ’Total 63 minutes
- Introduction & welcomeβ’2 minutes
- Introduction to matlab interfaceβ’10 minutes
- Fundamental matlab operationsβ’4 minutes
- Basic matlab programming concepts β’10 minutes
- Data types and structures β’3 minutes
- Matlab functions and scriptsβ’10 minutes
- Control flow and logical operations β’9 minutes
- Introduction to plotting and graphs β’4 minutes
- Customizing matlab plots β’7 minutes
- Handling multidimensional data β’3 minutes
4 readingsβ’Total 20 minutes
- Welcome to the courseβ’5 minutes
- Introduction to Matlab Programmingβ’5 minutes
- Matlab Data Structuresβ’5 minutes
- Data Visualization Techniques in Matlabβ’5 minutes
1 assignmentβ’Total 30 minutes
- Introduction to Matlab β’30 minutes
2 discussion promptsβ’Total 20 minutes
- Unlocking Problem-Solving Potential: Control Flow and Logical Operations in Matlabβ’10 minutes
- Visualizing Insights: Customizing Matlab Plots for Effective Data Presentationβ’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.
What's included
10 videos3 readings1 assignment2 discussion prompts
10 videosβ’Total 46 minutes
- Introduction to module 2β’2 minutes
- Working with matrices and arrays β’8 minutes
- Cell arrays, tables, and structures β’5 minutes
- File I/O and data import/export β’4 minutes
- Numerical methods and algorithms β’4 minutes
- Optimization and computational techniques β’5 minutes
- Matlab for simulation β’8 minutes
- Efficient code writing in matlab β’4 minutes
- Debugging and error handlingβ’5 minutes
- Integration with other programming languages β’3 minutes
3 readingsβ’Total 15 minutes
- Advanced Matlab: Structures and Cell Arraysβ’5 minutes
- What Is Scientific Computing?β’5 minutes
- Matlab Programming Techniquesβ’5 minutes
1 assignmentβ’Total 30 minutes
- Advanced Matlab Programmingβ’30 minutes
2 discussion promptsβ’Total 20 minutes
- Efficiency in Data Analysis: Leveraging File I/O and Data Import/Export in Matlabβ’10 minutes
- Optimizing Performance: Writing Efficient Code in Matlab for Large-Scale Projectsβ’10 minutes
This module provides an introduction to Simulink, a graphical programming environment for modeling, simulating, and analyzing multidomain dynamical systems.
What's included
10 videos3 readings1 assignment2 discussion prompts
10 videosβ’Total 40 minutes
- Introduction to module 3β’2 minutes
- Navigating the simulink environment β’5 minutes
- Building basic models in simulink β’5 minutes
- Simulating Models in Simulink β’3 minutes
- Developing complex simulink models β’3 minutes
- Simulink for control systems β’4 minutes
- Using simulink for dynamic systems simulation β’5 minutes
- Electrical systems modeling β’5 minutes
- Mechanical systems simulation β’4 minutes
- Using simulink in research β’3 minutes
3 readingsβ’Total 15 minutes
- Getting Started with Simulinkβ’5 minutes
- Complex Model Building in Simulinkβ’5 minutes
- Simulink in Practiceβ’5 minutes
1 assignmentβ’Total 30 minutes
- Introduction to Simulinkβ’30 minutes
2 discussion promptsβ’Total 20 minutes
- Engineering Reliability: Harnessing Simulink's Simulation Capabilities for System Designβ’10 minutes
- Powering Innovation: Applying Simulink in Electrical Systems Modeling for Advances in Engineeringβ’10 minutes
Module 4 focuses on integrating Matlab and Simulink for combined applications, real-world projects, and a capstone project.
What's included
11 videos3 readings1 assignment2 discussion prompts
11 videosβ’Total 28 minutes
- Introduction to module 4β’2 minutes
- Interfacing matlab with simulink β’3 minutes
- Data sharing between matlab and simulink β’3 minutes
- Project-based learning with matlab and simulink β’3 minutes
- Case studies in engineering and science β’3 minutes
- Matlab and simulink in industry β’3 minutes
- Collaborative projects using matlab and simulink β’3 minutes
- Planning and starting your capstone project β’3 minutes
- Development and implementation of the project β’3 minutes
- Presentation of projects and course summary β’3 minutes
- Wrap up and key takeawaysβ’1 minute
3 readingsβ’Total 15 minutes
- Integrating Matlab with Simulinkβ’5 minutes
- Matlab and Simulink in Industryβ’5 minutes
- Developing Engineering Projects with Matlab and Simulinkβ’5 minutes
1 assignmentβ’Total 30 minutes
- Integrating Matlab and Simulinkβ’30 minutes
2 discussion promptsβ’Total 20 minutes
- Collaborative Innovation: Enhancing Multidisciplinary Projects through Matlab-Simulink Data Sharingβ’10 minutes
- Reinforcing Learning: Reflecting on Course Progress and Skill Application through Matlab-Simulink Integrationβ’10 minutes
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Reviewed on Jun 30, 2025
Very informative, easy to digest introductory level course in MATLAB and Simulink. Thank you very much!
Reviewed on Jan 15, 2025
Excellent course for beginners and refreshers. Enjoyed. Thanks
Reviewed on Aug 9, 2024
It could have been more interactive, meaning assignments such as to write a code and submit the results.
Frequently asked questions
This course teaches the fundamentals of Matlab and Simulink, including Matlab programming, data analysis, modeling, simulation, and practical engineering applications.
This course is ideal for beginners, engineering students, researchers, scientists, and professionals seeking foundational skills in Matlab with Simulink and computational problem-solving.
Matlab is primarily used for programming, data analysis, and computations, while Simulink focuses on graphical modeling and simulation of dynamic systems.
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