MATLAB Training Courses

MATLAB Training

MATLAB Statistical Software courses

MATLAB Course Outlines

Code Name Duration Overview
matlabml1 Introduction to Machine Learning with MATLAB 21 hours MATLAB Basics MATLAB More Advanced Features BP Neural Network RBF, GRNN and PNN Neural Networks SOM Neural Networks Support Vector Machine, SVM Extreme Learning Machine, ELM Decision Trees and Random Forests Genetic Algorithm, GA Particle Swarm Optimization, PSO Ant Colony Algorithm, ACA Simulated Annealing, SA Dimenationality Reduction and Feature Selection
matlab2 MATLAB Fundamentals 21 hours This three-day course provides a comprehensive introduction to the MATLAB technical computing environment. The course is intended for beginning users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Topics include: Working with the MATLAB user interface Entering commands and creating variables Analyzing vectors and matrices Visualizing vector and matrix data Working with data files Working with data types Automating commands with scripts Writing programs with logic and flow control Writing functions Part 1 A Brief Introduction to MATLAB Objectives: Offer an overview of what MATLAB is, what it consists of, and what it can do for you An Example: C vs. MATLAB MATLAB Product Overview MATLAB Application Fields What MATLAB can do for you? The Course Outline Working with the MATLAB User Interface Objective: Get an introduction to the main features of the MATLAB integrated design environment and its user interfaces. Get an overview of course themes. MATALB Interface Reading data from file Saving and loading variables Plotting data Customizing plots Calculating statistics and best-fit line Exporting graphics for use in other applications Va​riables and Expressions Objective: Enter MATLAB commands, with an emphasis on creating and accessing data in variables. Entering commands Creating variables Getting help Accessing and modifying values in variables Creating character variables Analysis and Visualization with Vectors Objective: Perform mathematical and statistical calculations with vectors, and create basic visualizations. See how MATLAB syntax enables calculations on whole data sets with a single command. Calculations with vectors Plotting vectors Basic plot options Annotating plots Analysis and Visualization with Matrices Objective: Use matrices as mathematical objects or as collections of (vector) data. Understand the appropriate use of MATLAB syntax to distinguish between these applications. Size and dimensionality Calculations with matrices Statistics with matrix data Plotting multiple columns Reshaping and linear indexing Multidimensional arrays Part 2 Automating Commands with Scripts Objective: Collect MATLAB commands into scripts for ease of reproduction and experimentation. As the complexity of your tasks increases, entering long sequences of commands in the Command Window becomes impractical. A Modelling Example The Command History Creating script files Running scripts Comments and Code Cells Publishing scripts Working with Data Files Objective: Bring data into MATLAB from formatted files. Because imported data can be of a wide variety of types and formats, emphasis is given to working with cell arrays and date formats. Importing data Mixed data types Cell arrays Conversions amongst numerals, strings, and cells Exporting data Multiple Vector Plots Objective: Make more complex vector plots, such as multiple plots, and use color and string manipulation techniques to produce eye-catching visual representations of data. Graphics structure Multiple figures, axes, and plots Plotting equations Using color Customizing plots Logic and Flow Control Objective: Use logical operations, variables, and indexing techniques to create flexible code that can make decisions and adapt to different situations. Explore other programming constructs for repeating sections of code, and constructs that allow interaction with the user. Logical operations and variables Logical indexing Programming constructs Flow control Loops Matrix and Image Visualization Objective: Visualize images and matrix data in two or three dimensions. Explore the difference in displaying images and visualizing matrix data using images. Scattered Interpolation using vector and matrix data 3-D matrix visualization 2-D matrix visualization Indexed images and colormaps True color images Part 3 Data Analysis Objective: Perform typical data analysis tasks in MATLAB, including developing and fitting theoretical models to real-life data. This leads naturally to one of the most powerful features of MATLAB: solving linear systems of equations with a single command. Dealing with missing data Correlation Smoothing Spectral analysis and FFTs Solving linear systems of equations Writing Functions Objective: Increase automation by encapsulating modular tasks as user-defined functions. Understand how MATLAB resolves references to files and variables. Why functions? Creating functions Adding comments Calling subfunctions Workspaces  Subfunctions Path and precedence Data Types Objective: Explore data types, focusing on the syntax for creating variables and accessing array elements, and discuss methods for converting among data types. Data types differ in the kind of data they may contain and the way the data is organized. MATLAB data types Integers Structures Converting types File I/O Objective: Explore the low-level data import and export functions in MATLAB that allow precise control over text and binary file I/O. These functions include textscan, which provides precise control of reading text files. Opening and closing files Reading and writing text files Reading and writing binary files Note that the actual delivered might be subject to minor discrepancies from the outline above without prior notification. Conclusion Note that the actual delivered might be subject to minor discrepancies from the outline above without prior notification. Objectives: Summarise what we have learnt A summary of the course Other upcoming courses on MATLAB Note that the course might be subject to few minor discrepancies when being delivered without prior notifications.
ipmat1 Introduction to Image Processing using Matlab 28 hours This four day course provides image processing foundations using Matlab. You will practise how to change and enhance images and even extract patterns from the images. You will also learn how to build 2D filters and apply them on the images. Examples and exercises demonstrate the use of appropriate Matlab and Image Processing Toolbox functionality throughout the analysis process. Day 1: Loading images Dealing with RGB components of the image Saving the new images Gray scale images Binary images Masks Day 2: Analyzing images interactively Removing noise Aligning images and creating a panoramic scene Detecting lines and circles in an image Day 3: Image histogram Creating and applying 2D filters Segmenting object edges Segmenting objects based on their color and texture Day 4 Performing batch analysis over sets of images Segmenting objects based on their shape using morphological operations Measuring shape properties
matlabprog MATLAB Programming 14 hours This two-day course provides a comprehensive introduction to the MATLAB® technical computing environment. The course is intended for beginner users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Working with the MATLAB user interface Entering commands and creating variables Analyzing vectors and matrices Working with data types Automating commands with scripts Writing programs with logic and flow control Writing functions Visualizing vector and matrix data Working with data files Importing data Organizing data Visualizing data
smlk Simulink® for Automotive System Design 28 hours Objective: This training is meant for software Engineers who are working with MBD technology,the training will cover Modelling techniques for Automotive systems, Automotive standards ,Auto-code generation and Model test harness building and verification Audience: Software developper for automotive supplierFundamentals & Basics Using the MATLAB® environment Essential Mathematics for control systems using MATLAB® Graphics and Visualization Programming using MATLAB® GUI Programming using MATLAB®(optional) Introduction to Control systems and Mathematical Modeling using MATLAB® Control Theory using MATLAB® Introduction to systems modeling using SIMULINK® Simulink® internals (signals, systems, subsystems, simulation Parameters,…etc) Stateflow for automotive systems(Automotive Body Controller application) Introduction to MAAB( Mathworks® Automotive Advisory Board) Introduction to AUTOSAR AUTOSAR SWCs modeling using Simulink® Simulink Tool boxes for Automotive systems Hydraulic cylinder Simulation Introduction to SimDrivelin (Clutch Models ,Gera Models)(Optional) Modeling ABS (Optional ) Modeling for Automatic Code Generation Model Verification Techniques

Upcoming Courses

CourseCourse DateCourse Price [Remote / Classroom]
Introduction to Image Processing using Matlab - Gliwice ul. Karola Marksa 11 Mon, 2017-02-06 09:0025260PLN / 9055PLN
MATLAB Fundamentals - Łódź, ul. Tatrzańska 11Mon, 2017-02-06 09:0018050PLN / 6370PLN
MATLAB Programming - Poznań, Garbary 100/63Mon, 2017-02-06 09:004400PLN / 1867PLN
Introduction to Machine Learning with MATLAB - Opole, Władysława Reymonta 29Mon, 2017-02-13 09:005200PLN / 2926PLN

Other regions

Weekend MATLAB courses, Evening MATLAB training, MATLAB boot camp, MATLAB instructor-led , Evening MATLAB courses,Weekend MATLAB training, MATLAB training courses, MATLAB on-site, MATLAB one on one training , MATLAB trainer , MATLAB instructor, MATLAB private courses, MATLAB coaching

Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Angular JavaScript Poznan, Garbary 100/63 Mon, 2017-01-23 09:00 7425PLN / 3275PLN
Container management with Docker Zielona Góra, ul. Reja 6 Mon, 2017-01-23 09:00 8910PLN / 3720PLN
Comprehensive Git Kraków, ul. Rzemieślnicza 1 Mon, 2017-01-23 09:00 5841PLN / 3147PLN
Building Web Apps using the MEAN stack Poznan, Garbary 100/63 Mon, 2017-01-30 09:00 14652PLN / 5440PLN
Adobe Photoshop Elements Katowice ul. Opolska 22 Mon, 2017-01-30 09:00 1881PLN / 1327PLN
Psychologiczne aspekty zarządzania zespołem IT – psychologia zespołu Scrum agile Toruń, ul. Żeglarska 10/14 Mon, 2017-02-06 09:00 5742PLN / 2340PLN
Programming in C++ Warszawa, ul. Złota 3/11 Mon, 2017-02-06 09:00 5445PLN / 2815PLN
Visual Basic for Applications (VBA) in Excel (intermediate level) Warszawa, ul. Złota 3/11 Mon, 2017-02-06 09:00 2376PLN / 1192PLN
C#.Net Olsztyn, ul. Kajki 3/1 Mon, 2017-02-06 09:00 25047PLN / 8840PLN
Java Performance Wroclaw, ul.Ludwika Rydygiera 2a/22 Mon, 2017-02-06 09:00 9801PLN / 3000PLN
Creating and managing Web sites Olsztyn, ul. Kajki 3/1 Mon, 2017-02-06 09:00 5841PLN / 2548PLN
Adobe Photoshop Gdynia, ul. Ejsmonda 2 Mon, 2017-02-06 09:00 1881PLN / 1452PLN
Marketing Analytics using R Gdańsk, ul. Powstańców Warszawskich 45 Wed, 2017-02-08 09:00 11880PLN / 5010PLN
Team Building and Management Szczecin, ul. Małopolska 23 Tue, 2017-02-14 09:00 5346PLN / 1569PLN
Microsoft Access - download the data Poznan, Garbary 100/63 Thu, 2017-02-16 09:00 2475PLN / 1225PLN
OCUP2 UML 2.5 Certification - Foundation Exam Preparation Warszawa, ul. Złota 3/11 Mon, 2017-02-20 09:00 7000PLN / 2933PLN
Programming in ASP.NET MVC 5 Gdynia, ul. Ejsmonda 2 Mon, 2017-02-20 09:00 5841PLN / 2673PLN
Working with spreadsheet in Microsoft Excel Szczecin, ul. Małopolska 23 Tue, 2017-02-28 09:00 1485PLN / 995PLN
Introduction to CSS3 Poznan, Garbary 100/63 Wed, 2017-03-22 09:00 1881PLN / 952PLN

Course Discounts Newsletter

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