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₹5,000 50 Classes
Numerical Computing & Data Analysis
MATLAB Programming
Course in Howrah & Kolkata
Master MATLAB — the world's leading environment for numerical computation, data analysis, and algorithm development. From matrix operations, 2D/3D plotting, and file I/O to signal processing, GUI design, and external device communication — build real engineering and scientific solutions from scratch.
MATLAB
Matrix Ops
Plotting
Signal Processing
GUI Design
Algorithms
40
Classes
60h
Duration
4
Modules
3+
Projects
10–15
Batch Size
Course Details
What You Get
Everything you need to become a confident MATLAB programmer and numerical computing professional — in one structured, hands-on course.
40 Classes · 60 Hours
A comprehensive, expert-paced 60-hour programme covering every aspect of MATLAB — from matrix operations and plotting through signal processing, GUI design, and external device communication.
ISO & MSME Certificate
Earn a government-recognized, ISO-certified completion certificate that adds real credibility to your resume and demonstrates professional MATLAB training to employers and research institutions.
Live Engineering Projects
Build real-world projects — from data fitting and signal analysis to GUI-driven applications — applying every concept hands-on as you progress through the curriculum.
Small Batch Sizes
Only 10–15 students per batch ensures personal attention, faster doubt resolution, and a genuinely productive learning environment where no student gets left behind.
Bengali & Hindi Medium
Complex MATLAB concepts — matrix algebra, signal processing, GUI callbacks — explained clearly in Bengali and Hindi for deeper understanding and faster learning.
Module-wise Assessments
Regular tests and practicals after each module confirm your understanding — ensuring you master each concept before advancing, building genuine confidence at every stage.
Full Curriculum
Course Syllabus
4 comprehensive modules — from MATLAB basics and matrix operations to signal processing, GUI design, and external device interfacing.
Module 1: Introduction to MATLAB
Discover MATLAB — the Matrix Laboratory. Learn how to use MATLAB as a powerful scientific calculator, understand its core windows (Command, Workspace, Editor, Figure), work with variables and arrays, write script files with flow control and loops, define functions, and create beautiful 2D plots and subplots.
7 LessonsArraysVariablesScriptsFunctions2D Plots
01
MATLAB as a Scientific CalculatorIntroduction to MATLAB's Command Window — arithmetic operations, precedence rules, built-in constants (pi, e, inf, NaN), and mathematical functions (sin, cos, sqrt, exp, log). Using MATLAB as the ultimate scientific calculator for instant numerical results.
02
Standard MATLAB WindowsThe MATLAB desktop environment — Command Window, Workspace Browser, Current Directory, Editor/Debugger, and Figure windows. Understanding how each panel contributes to an efficient scientific workflow and how to customize the layout.
03
Operations with VariablesNaming variables (MATLAB naming rules and conventions), checking variable existence using exist() and whos, clearing variables (clear, clc), and performing arithmetic, relational, and logical operations on scalar and array variables.
04
Arrays — Vectors & MatricesCreating row and column vectors, 2D matrices, and multi-dimensional arrays. Indexing techniques (linear, row-column, logical), size and length functions, element-wise vs. matrix operations (multiplication, division, power), and useful array functions (zeros, ones, eye, linspace, reshape).
05
Writing Script FilesCreating .m script files in the MATLAB Editor — logical variables and operators, relational comparisons, flow control (if/elseif/else/end, switch/case), and loop constructs (for loops, while loops, break, continue) for building reusable computational programs.
06
Writing FunctionsDefining custom MATLAB functions — input and output arguments, local vs. global scope, function visibility and the MATLAB path, and creating startup.m for environment initialization. Understanding when to use scripts versus functions for modular, reusable code.
07
Simple Graphics — 2D Plots & SubplotsCreating publication-quality 2D plots using plot(), xlabel(), ylabel(), title(), legend(), and grid(). Controlling line styles, colors, and markers. Using figure() for multiple figure windows and subplot() to arrange multiple charts in a single figure for comparative analysis.
Module 2: Data & Data Flow in MATLAB
Master MATLAB's rich set of data types and learn how to move data in and out of MATLAB efficiently. Work with matrices, strings, cell arrays, and structures; read and write text, binary, and mixed files; and communicate with real-world external hardware through serial, parallel, sound, and video ports.
3 LessonsData TypesFile I/OCell ArraysStructuresSerial Port
01
Data Types in MATLABMATLAB's core data types — numeric matrices (double, single, integer), strings and character arrays, cell arrays (heterogeneous containers), and structures (field-based records). Creating, accessing elements (indexing, fieldnames), and manipulating each data type with practical examples from engineering and scientific datasets.
02
File Input & OutputReading and writing data in multiple formats — MATLAB native files (load/save .mat), plain text files (csvread, textscan, fprintf, dlmread, dlmwrite), binary files (fopen, fread, fwrite, fseek, fclose), and mixed text-binary files for instrument data logs and scientific measurement archives.
03
Communication with External DevicesInterfacing MATLAB with the real world — serial port communication (instrhwinfo, serial, fopen, fscanf, fwrite) for microcontroller and sensor data; parallel port I/O; sound card access (sound, wavread, wavwrite) for audio acquisition; and video port interfacing for image capture and processing pipelines.
Module 3: Function Minimization & Parameter Search
Learn the core of scientific data analysis — fitting mathematical models to real experimental data using polynomial and arbitrary function fitting, evaluating goodness of fit, bounding parameters, and handling data windowing. The essential toolkit for any engineer or researcher working with measured data.
3 LessonsPolynomial FitCurve FittingError BoundsChi-squaredData Windowing
01
Polynomial Fit1D polynomial curve fitting using polyfit() and polyval() — choosing the right polynomial degree, applying Gaussian and Hanning data windowing to reduce edge artifacts, and computing error bounds to assess uncertainty in the fitted model parameters. 2D surface fitting for gridded experimental data.
02
Arbitrary Function FitFitting any user-defined mathematical function to experimental data using fminsearch() and lsqcurvefit() — defining the error (objective) function, choosing initial parameter guesses, applying parameter constraints, and fixing known parameters to reduce the dimensionality of the optimization problem.
03
Goodness of FitEvaluating the quality of a fitted model — computing R² (coefficient of determination) and reduced chi-squared (χ²/ν) statistics to distinguish good fits from poor ones, estimating standard errors of fitted parameters, and interpreting residuals to detect systematic model errors or outliers in the data.
Module 4: Handle Graphics & User Interface Design
Transform your MATLAB programs into professional, interactive GUI applications. Master pre-defined dialog boxes, the Handle Graphics object model, programmatic GUI creation using uimenu and uicontrol, interactive graphics callbacks, and the design patterns behind large, maintainable MATLAB applications.
3 LessonsHandle GraphicsuicontroluimenuCallbacksDialog Boxes
01
Pre-defined Dialog BoxesMATLAB's built-in GUI dialog functions — inputdlg() for user data entry, questdlg() for confirmation prompts, msgbox() and errordlg() for messages, uigetfile() and uiputfile() for file browser dialogs, and uigetdir() for directory selection — enabling quick, professional user interaction without writing custom GUIs from scratch.
02
Handle Graphics Object ModelMATLAB's Handle Graphics system — the figure, axes, line, text, image, patch, and surface objects; the parent/child hierarchy; getting and setting object properties with get() and set(); and dynamically modifying plots at runtime (changing colors, line widths, marker types, axis limits) using handles for interactive data exploration.
03
Menu-Driven GUI ProgramsBuilding complete interactive MATLAB applications — creating custom menu bars and context menus with uimenu(); adding pushbuttons, sliders, checkboxes, radio buttons, list boxes, and text fields with uicontrol(); writing callback functions for event handling; designing interactive graphics with ginput() and datacursormode; and planning the logic flow of large-scale MATLAB application architectures.
What You'll Learn
Learning Outcomes
Graduate with the MATLAB skills needed for real-world engineering, data science, and scientific research roles.
Master Matrix & Numerical Computing
Perform complex linear algebra, matrix manipulations, and numerical computations with MATLAB's powerful built-in functions — the foundation of engineering and scientific analysis.
Visualize Data with Professional Plots
Create publication-quality 2D and 3D plots, subplots, and annotated figures — communicating complex data insights visually for reports, presentations, and research papers.
Write Reusable Scripts & Functions
Build modular, well-structured MATLAB programs — scripts, functions, and m-files — for solving engineering problems, automating repetitive calculations, and implementing custom algorithms.
Handle Data & File I/O Like a Pro
Read and write data in any format — MAT, CSV, binary, text — and interface MATLAB directly with external instruments and sensors via serial, parallel, and audio ports.
Fit Models & Analyze Experimental Data
Apply polynomial and arbitrary function fitting, compute goodness-of-fit statistics, and extract meaningful parameters from noisy experimental data — essential for every engineer and scientist.
Build Interactive MATLAB GUI Applications
Design and build complete graphical user interfaces — with buttons, sliders, menus, and live plots — turning your MATLAB algorithms into user-friendly professional applications.
Who Should Join?
This Course Is For You
Whether you're an engineering student, researcher, data analyst, or working professional — this course gives you a complete foundation in MATLAB for real-world problem solving.
⚙️
Engineering Students
B.Tech, M.Tech, BE students in ECE, EE, ME, or Civil who need MATLAB for simulation, signal processing, control systems, and academic projects.
🔬
Science Researchers
BSc/MSc Physics, Chemistry, or Biology students and researchers who need to analyze experimental data, fit models, and visualize scientific results.
📊
Data Analysts
Professionals who want to use MATLAB for statistical analysis, data processing pipelines, and building interactive dashboards for data-driven decision making.
💼
Working Professionals
Industry professionals in R&D, instrumentation, telecommunications, or finance who need MATLAB skills for algorithm development and technical reporting.
FAQ
Frequently Asked Questions
What is the fee for the MATLAB course at PBA Institute?
The batch class fee is ₹5,000 for the complete course (40 classes, 60 hours). One-to-One personalized sessions are ₹10,000 with dedicated instructor attention and a fully flexible schedule. Both include study materials, software installation support, and an ISO-certified certificate.
Do I need prior programming or mathematics knowledge?
No prior programming experience is required — basic computer skills are sufficient. Some familiarity with school-level mathematics (algebra, functions, basic calculus) is helpful but not mandatory. The course begins from scratch and builds up gradually, explaining all mathematical concepts as they arise.
What can I do after completing the MATLAB course?
After completing this course you will be able to perform complex matrix operations, analyze and visualize datasets, write reusable scripts and functions, fit mathematical models to experimental data, read and write data files, interface with external hardware, and build complete interactive GUI applications — making you job-ready for engineering, research, and data science roles.
Is MATLAB still in demand in 2025?
Absolutely. MATLAB remains the industry standard in aerospace, automotive, telecommunications, biomedical engineering, finance, and academic research. MathWorks continually expands MATLAB's capabilities, and most top engineering colleges and R&D labs worldwide use MATLAB daily. MATLAB skills significantly boost your employability in technical roles.
Is there an online option for the MATLAB course?
Yes. PBA Institute offers both online and in-person classes. Online sessions are conducted live with the same instructor and same content as our Howrah campus — with full screen sharing, live coding demonstrations, and real-time doubt resolution throughout every class.
What certificate will I receive after the course?
You will receive a completion certificate from PBA Institute — ISO 9001:2015 Certified and MSME Government Registered. This credential adds genuine value to your portfolio and resume, demonstrating professional-grade MATLAB training to employers, research institutions, and academic bodies.
Start Computing Today
Ready to Master MATLAB?
Join PBA Institute's MATLAB course in Howrah. Solve real engineering problems, analyze scientific data, build GUI applications, earn an ISO certificate, and unlock careers in research, data science, and engineering.
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