Softlogic is one of the Top Training institutes for MATLAB. Learn how to use MATLAB, from beginner basics to advanced techniques. Our MATLAB syllabus covers the MATLAB environment setup, programming basics, data visualization, mathematical modeling, simulations, and toolbox applications. We offer a MATLAB Course with Placement Assistance, Mock interviews, Resume building, and certification.
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Course Syllabus
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Fees, Duration & Batch Timings for Matlab
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
July 2026
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
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July 2026
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4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
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Syllabus of Matlab
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Introduction
- Basic of MATLAB
- Types of Window
- Types of File
- Basic Operations
Matrix (Array Design)
- Matrix Operation
- Array Design
- Array Operation
- Multidimensional Array
Graphics
- Plotting
- Multiple Plot
- 2-D Plot
- 3-d Plot
- Subplot
- Handle Graphics
- Animation
- Example(like a project)
Symbolic Calculation
- Symbols
- Design Formula
- Differentiation
- Integration
- Solve Equation
- Example(like a project)
Publishing Report
- Publishing Report
- Design HtmlFile,Pdf,Word,PPT
- Import Export
- Example(like a project)
Operators
- Arithmetic Operator
- Logical
- Relational
Branch and Loop
- If statement
- If-else statement
- Else-if statement
- Pause,Break,Continue,Switch-case,try-catch,Return Statement
- For Loop,While Loop
- Example(like a project)
Script and Function
- Script Design
- Function Design
- Types Of Function
- Example(like a project)
GUI (Graphical User Interface)
- Introduction Of GUI
- GUI Function Property
- GUI Component Design
- GUI Container
- Writing the code of GUI Callback
- Dialog Box
- Menu Designing
Introduction Of image Processing
- Designing of Projects
- Application
Simulink
- Introduction Of Simuling
- Study of Library
- Circuit Oriented Design
- Equation Oriented Design
- Connectivity
- Model
- Subsystem Design
- Connect Call back to subsystem
Error, Warning, Menu
- Cell, Structure
- Character String
Application
- Ode
- ELG
Solveand Design Electrical System
- Design rlc circuit
- rectifier
Objectives of Matlab
The Matlab Training will cover all the topics ranging from fundamental to advanced concepts, which will make it easy for students to grasp Matlab. The Matlab Course Curriculum is composed of some of the most useful and rare concepts that will surely give students a complete understanding of Matlab as well. So, some of those curriculum are discussed below as objectives:
- To make students well-versed with fundamental Matlab concepts like – Matrix (Array Design), Graphics, Symbolic Calculation, Publishing Report, Operators etc.
- To make students more aware of Matlab by making them learn about topics like – Script and Function, Image Processing, Graphical User Interface, etc.
- To make students more knowledgeable with advanced Matlab concepts like – Simulink, Error, Warning, Menu, Application, Solve and Design Electrical System etc.
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Why Softlogic Systems is the Best Choice for Matlab – Learn, Practice, and Get Placed!
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
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No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
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Highlights of Matlab
What is Matlab?
MATLAB, developed by MathWorks, is a high-level programming language and environment for numerical computing and algorithm development. Renowned for its matrix operations, it offers powerful tools for data analysis, visualization, and algorithm development. MATLAB is widely used across engineering, science, and finance for its extensive built-in functions and integration capabilities.
What is Matlab Full Stack?
MATLAB Full Stack includes a comprehensive suite of tools for numerical computation, algorithm development, and application deployment. Key components are the MATLAB language, various toolboxes, Simulink for model-based design, App Designer for GUI development, MATLAB Compiler for application deployment, and support for online, data acquisition, parallel computing, and database integration.
What are the reasons for learning Matlab?
The following are the reasons for learning Matlab:
- Advanced Mathematical Computations: MATLAB excels at handling complex mathematical operations and simulations, making it well-suited for tasks involving matrix calculations, algebra, and numerical analysis.
- Comprehensive Data Visualization: It offers robust tools for generating various plots and graphs, helping users effectively visualize and interpret data.
- Specialized Toolboxes: MATLAB includes a variety of toolboxes for specialized applications like machine learning, image processing, control systems, and signal processing, enabling targeted problem-solving.
- Rapid Algorithm Development: Designed for fast prototyping and algorithm development, MATLAB’s high-level syntax supports iterative testing and refinement.
What are the prerequisites for learning Matlab?
The following are the prerequisites for learning Matlab, but they are not mandatory:
- Fundamental Mathematics: Proficiency in algebra, calculus, and linear algebra is important, as MATLAB is extensively used for mathematical computations.
- Basic Programming Concepts: Familiarity with core programming concepts like variables, loops, conditionals, and functions is advantageous. While prior experience with programming languages is helpful, MATLAB’s syntax is user-friendly.
- Linear Algebra Knowledge: Understanding linear algebra, including matrices and vectors, is crucial since MATLAB specializes in matrix operations.
- Basic Statistics and Data Analysis: Knowledge of basic statistics and data analysis techniques is useful, as MATLAB is frequently employed for processing and visualizing data.
What are the course fees and duration?
Our Matlab Course Fees may vary depending on the specific course program you choose (basic / intermediate / full stack), course duration, and course format (remote or in-person). On an average the Matlab Course Fees range from 25k to 30k, for a duration of 2 months total with international certification.
What are some of the jobs related to Matlab?
The following are the jobs related to Matlab:
- Data Scientist
- Systems Engineer
- Software Developer
- Research Scientist
- Control Systems Engineer
- Signal Processing Engineer
List a few real time Matlab applications.
The following are the real-time Matlab applications:
- Autonomous Vehicles
- Real-Time Data Acquisition
- Control Systems
- Communication Systems
- Medical Imaging
- Signal Processing
Boost Your Skills with Our Matlab Experts
Our Mentors are from Top Companies like:
- Our trainers bring over a decade of extensive experience in MATLAB, providing certified instruction and advanced training.
- They excel in delivering flexible, reliable training solutions across the full MATLAB suite, including MATLAB, Simulink, and various specialized toolboxes.
- With deep expertise in developing graphical programs and algorithms, they have led numerous workshops for software engineers and students, offering a thorough introduction to MATLAB’s complexities and its application in various engineering fields.
- They focus on teaching problem-solving techniques, hands-on experience, and real-time application development, ensuring accurate guidance for visualization and high-performance computation.
- Known for their technical problem-solving skills, they are adept at analyzing and visualizing complex data from MATLAB.
- They rapidly adopt new technologies, devise innovative solutions, and excel in both theoretical and practical MATLAB programming.
- Capable of training individuals or groups of any size, they are committed to meeting training objectives and facilitating successful student placements.
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What Modes of Training are available for Matlab?
Offline / Classroom Training
A Personalized Learning Experience with Direct Trainer Engagement!
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
Instructor Led Live Training! Learn at the comfort of your home
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
Blended Delivery model (both Online and Offline as per Clients’ requirement)
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
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Hands-on Project Practices in Matlab
Robotics and Autonomous Systems
Optimization Challenges
Engineering System Simulations
Machine Learning Implementation
Real-Time Data Acquisition
Financial Analysis and Modeling
Design of Control Systems
Audio Signal Processing
Image Enhancement and Filtering
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FAQs
How does MATLAB differ from other programming languages like Python or R?
MATLAB is tailored for numerical analysis and matrix operations, offering extensive built-in functions for engineering and mathematical tasks. Python is a versatile language with libraries such as NumPy and SciPy for numerical work, while R is focused on statistical analysis and data visualization. MATLAB excels in specialized domains with its comprehensive toolboxes and functions.
How does MATLAB manage large datasets and memory?
MATLAB is equipped with advanced data structures and memory management techniques for handling large datasets. It includes commands like clear to free up memory and pack to optimize memory usage. For extensive computations, the Parallel Computing Toolbox enables MATLAB to leverage multiple processors or cores.
What are MATLAB’s key applications in signal processing?
MATLAB is extensively used for signal processing tasks, including filtering, spectral analysis, and signal modeling. It provides tools and toolboxes for designing filters, executing Fourier transforms, analyzing frequency components, and simulating signal processing systems.
How does MATLAB interact with hardware for real-time applications?
MATLAB integrates with hardware through the Data Acquisition Toolbox and Instrument Control Toolbox, facilitating communication with sensors and data acquisition systems. It supports real-time data collection and control with functions and APIs designed for interaction with external devices.
What benefits does Simulink offer when used with MATLAB?
Simulink enhances MATLAB by providing a graphical interface for model-based design. It allows users to construct, simulate, and analyze complex systems using block diagrams. The integration with MATLAB enables seamless algorithm development, system behavior analysis, and simulation.
How does MATLAB facilitate machine learning and data analysis?
MATLAB supports machine learning through the Machine Learning Toolbox, offering capabilities for data preprocessing, feature extraction, and model training. It includes algorithms for classification, regression, clustering, and deep learning, and integrates with various data analysis functions for exploratory and visual analysis.
What are MATLAB toolboxes and how do they enhance its functionality?
MATLAB toolboxes are specialized collections of functions designed for specific applications, such as image processing, control systems, or financial analysis. They extend MATLAB’s functionality by providing pre-built algorithms and functions tailored to particular areas, enhancing productivity and enabling complex analysis.
How do you create and utilize custom functions in MATLAB?
To develop custom functions in MATLAB, you write function files with a .m extension. These files define the function name, input parameters, and output results. Custom functions help organize and reuse code, making complex operations simpler. They are called in the same way as built-in functions, with inputs and outputs specified.
Where is the corporate office of Softlogic Systems located?
The corporate office of the Softlogic Systems is located at the institute’s K.K.Nagar branch.
What payment methods does Softlogic accept?
Softlogic accepts a wide range of payment methods, including:
- Cash
- Debit cards
- Credit cards (MasterCard, Visa, Maestro)
- Net banking
- UPI
- Including EMI.
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Scopes available in the future for learning Matlab
The following are the scopes available in the future for learning Matlab Course:
Advanced Data Science: As data-driven decision-making grows, MATLAB’s strength in data analysis, machine learning, and predictive modeling will remain crucial for handling complex data and large-scale analytics.
Machine Learning and AI: With advancements in AI and machine learning, MATLAB’s tools for developing and deploying algorithms will be essential for creating sophisticated models and integrating AI into various applications.
Real-Time Systems and IoT: MATLAB’s real-time data handling and hardware interfacing capabilities will be key for developing IoT solutions and real-time monitoring systems, including smart sensor networks and industrial automation.
Robotics and Autonomous Systems: MATLAB’s synergy with Simulink and control system tools will drive innovation in robotics and autonomous technologies, focusing on algorithm development and simulation of robotic and autonomous systems.
Simulations and Prototyping: MATLAB’s role in virtual prototyping and system simulations will expand, particularly for engineering and scientific research, facilitating detailed modeling and testing of complex systems.
Finance and Risk Analysis: In finance, MATLAB will continue to support financial modeling, risk assessment, and algorithmic trading, with future enhancements aimed at improving predictive accuracy and strategy optimization.
Biomedical Engineering: MATLAB’s applications in biomedical fields, including medical image processing and health data analysis, will grow, benefiting innovations in healthcare technology and personalized medicine.
Educational Technology: MATLAB will remain a valuable educational tool for teaching computational and engineering concepts, with potential for developing new educational software and research aids.
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